From c22ef2e3cf0f049e503f25a44025bca5364fe366 Mon Sep 17 00:00:00 2001
From: tomsail <saillour.thomas@gmail.com>
Date: Tue, 19 Mar 2024 20:41:24 +0100
Subject: [PATCH] [telemac] added telemac support

---
 .github/workflows/conda_pip.yml               |   42 +-
 Makefile                                      |   10 +-
 Tutorial/TELEMAC.ipynb                        |  724 +++
 dependencies/binary.yml                       |    1 -
 dependencies/dev.yml                          |    1 -
 dependencies/docs.yml                         |    1 -
 dependencies/main.yml                         |    1 -
 dependencies/python3.10.yml                   |    1 -
 dependencies/python3.11.yml                   |    1 -
 dependencies/python3.12.yml                   |    1 -
 dependencies/python3.9.yml                    |    1 -
 dependencies/telemac.yml                      |    4 +
 environments/binary-telemac-p3.10.yml         |   15 +
 environments/binary-telemac-p3.11.yml         |   15 +
 environments/binary-telemac-p3.12.yml         |   15 +
 environments/binary-telemac-p3.9.yml          |   15 +
 locks/binary-p3.10.yml                        |  281 +-
 locks/binary-p3.11.yml                        |  281 +-
 locks/binary-p3.9.yml                         |  281 +-
 locks/binary-telemac-p3.10.yml                | 4388 ++++++++++++++++
 locks/binary-telemac-p3.11.yml                | 4351 ++++++++++++++++
 locks/binary-telemac-p3.12.yml                | 4349 ++++++++++++++++
 locks/binary-telemac-p3.9.yml                 | 4426 +++++++++++++++++
 ...da-ubuntu-latest-binary-telemac-p3.10.lock |  289 ++
 ...da-ubuntu-latest-binary-telemac-p3.11.lock |  286 ++
 ...da-ubuntu-latest-binary-telemac-p3.12.lock |  286 ++
 ...nda-ubuntu-latest-binary-telemac-p3.9.lock |  292 ++
 locks/delft3d_mpich.yml                       |   18 +-
 locks/delft3d_openmpi.yml                     |   18 +-
 locks/requirements-ci-telemac.txt             |  119 +
 locks/schism_mpich.yml                        |   18 +-
 locks/schism_openmpi.yml                      |   18 +-
 locks/telemac_mpich.yml                       | 2602 ++++++++++
 locks/telemac_openmpi.yml                     | 2604 ++++++++++
 poetry.lock                                   | 2753 +++++-----
 pyposeidon/dem.py                             |    1 -
 pyposeidon/dem_tools.py                       |    5 +-
 pyposeidon/misc/telemac2d.cas                 |  185 +
 pyposeidon/misc/telemac2d.json                |   88 +
 pyposeidon/misc/telemac3d.cas                 |  161 +
 pyposeidon/misc/telemac3d.json                |   92 +
 pyposeidon/misc/tomawac.cas                   |   87 +
 pyposeidon/misc/tomawac.json                  |   58 +
 pyposeidon/telemac.py                         | 1544 ++++++
 pyposeidon/tools.py                           |    4 +
 pyposeidon/utils/cast.py                      |  175 +-
 pyposeidon/utils/cfl.py                       |    4 +-
 pyposeidon/utils/cpoint.py                    |   68 +-
 pyposeidon/utils/data.py                      |  131 +-
 pyposeidon/utils/global_bgmesh.py             |   44 +-
 pyposeidon/utils/norm.py                      |   78 +-
 pyposeidon/utils/obs.py                       |   67 +-
 pyposeidon/utils/post.py                      |   85 +
 pyposeidon/utils/pplot.py                     |    1 +
 pyproject.toml                                |    8 +-
 scripts/generate_envs.sh                      |    7 +
 scripts/generate_locks.sh                     |   11 +
 tests/conftest.py                             |    5 +
 tests/test_telemac.py                         |  137 +
 tests/test_telemac_cast.py                    |  202 +
 tests/utils/test_cpoint.py                    |   24 +-
 tests/utils/test_obs.py                       |   24 +-
 62 files changed, 29768 insertions(+), 2036 deletions(-)
 create mode 100644 Tutorial/TELEMAC.ipynb
 create mode 100644 dependencies/telemac.yml
 create mode 100644 environments/binary-telemac-p3.10.yml
 create mode 100644 environments/binary-telemac-p3.11.yml
 create mode 100644 environments/binary-telemac-p3.12.yml
 create mode 100644 environments/binary-telemac-p3.9.yml
 create mode 100644 locks/binary-telemac-p3.10.yml
 create mode 100644 locks/binary-telemac-p3.11.yml
 create mode 100644 locks/binary-telemac-p3.12.yml
 create mode 100644 locks/binary-telemac-p3.9.yml
 create mode 100644 locks/conda-ubuntu-latest-binary-telemac-p3.10.lock
 create mode 100644 locks/conda-ubuntu-latest-binary-telemac-p3.11.lock
 create mode 100644 locks/conda-ubuntu-latest-binary-telemac-p3.12.lock
 create mode 100644 locks/conda-ubuntu-latest-binary-telemac-p3.9.lock
 create mode 100644 locks/requirements-ci-telemac.txt
 create mode 100644 locks/telemac_mpich.yml
 create mode 100644 locks/telemac_openmpi.yml
 create mode 100755 pyposeidon/misc/telemac2d.cas
 create mode 100644 pyposeidon/misc/telemac2d.json
 create mode 100755 pyposeidon/misc/telemac3d.cas
 create mode 100644 pyposeidon/misc/telemac3d.json
 create mode 100755 pyposeidon/misc/tomawac.cas
 create mode 100644 pyposeidon/misc/tomawac.json
 create mode 100644 pyposeidon/telemac.py
 create mode 100644 tests/test_telemac.py
 create mode 100644 tests/test_telemac_cast.py

diff --git a/.github/workflows/conda_pip.yml b/.github/workflows/conda_pip.yml
index 85999385..0f4881e5 100644
--- a/.github/workflows/conda_pip.yml
+++ b/.github/workflows/conda_pip.yml
@@ -40,6 +40,8 @@ jobs:
       - name: "Install Python dependencies"
         run: "pip install 'black'"
 
+      - run: "black --version"
+
       - name: "Run linters"
         run: "black --diff ./"
 
@@ -61,11 +63,14 @@ jobs:
       SCHISM_ENV: "SCHISM_ENV"
       DELFT3D_ENV: "DELFT3D_ENV"
       PYPOSEIDON_ENV: "PYPOSEIDON_ENV"
+      PYPOS_TEL_ENV: "PYPOS_TEL_ENV"
       #
       SCHISM_LOCK: locks/conda-${{ matrix.os }}-schism_${{ matrix.mpi }}.lock
       DELFT3D_LOCK: locks/conda-${{ matrix.os }}-delft3d_${{ matrix.mpi }}.lock
       PYPOSEIDON_LOCK: locks/conda-${{ matrix.os }}-binary-p${{ matrix.python }}.lock
+      PYPOS_TEL_LOCK: locks/conda-${{ matrix.os }}-binary-telemac-p${{ matrix.python }}.lock
       REQUIREMENTS_CI: locks/requirements-ci.txt
+      REQUIREMENTS_CI_TEL: locks/requirements-ci-telemac.txt
       REQUIREMENTS_VIZ: locks/requirements-viz.txt
 
     defaults:
@@ -92,6 +97,7 @@ jobs:
           channel_priority: strict
           channels:
             - gbrey
+            - tomsail
             - conda-forge
           EOF
       - run: cat ~/.condarc
@@ -123,6 +129,16 @@ jobs:
             ${{ matrix.os }}-${{ matrix.python }}-${{ env.PYPOSEIDON_ENV }}-${{ hashFiles( env.PYPOSEIDON_LOCK )}}
             ${{ matrix.os }}-${{ matrix.python }}-${{ env.PYPOSEIDON_ENV }}-
 
+      - name: "Cache ${{ env.PYPOS_TEL_ENV }}"
+        uses: actions/cache@v3
+        id: cache-PYPOS_TEL_ENV
+        with:
+          path: ~/micromamba/envs/${{ env.PYPOS_TEL_ENV }}
+          key: ${{ matrix.os }}-${{ matrix.python }}-${{ env.PYPOS_TEL_ENV }}-${{ hashFiles( env.PYPOS_TEL_LOCK )}}-${{ hashFiles( env.REQUIREMENTS_CI_TEL )}}
+          restore-keys: |
+            ${{ matrix.os }}-${{ matrix.python }}-${{ env.PYPOS_TEL_ENV }}-${{ hashFiles( env.PYPOS_TEL_LOCK )}}
+            ${{ matrix.os }}-${{ matrix.python }}-${{ env.PYPOS_TEL_ENV }}-
+
       - name: Cache tests/data/
         uses: actions/cache@v3
         env:
@@ -144,11 +160,9 @@ jobs:
         if: steps.cache-PYPOSEIDON_ENV.outputs.cache-hit != 'true'
         run: micromamba create --yes --name ${PYPOSEIDON_ENV} -f ${PYPOSEIDON_LOCK}
 
-      - name: "Check schism version"
-        run: |
-          eval "$(micromamba shell hook)"
-          micromamba activate "${SCHISM_ENV}"
-          schism -v
+      - name: "Create ${{ env.PYPOS_TEL_ENV }}"
+        if: steps.cache-PYPOS_TEL_ENV.outputs.cache-hit != 'true'
+        run: micromamba create --yes --name ${PYPOS_TEL_ENV} -f ${PYPOS_TEL_LOCK}
 
       - name: "Install python dependencies"
         run: |
@@ -158,6 +172,14 @@ jobs:
           python -mpip install -r "${REQUIREMENTS_CI}"
           python -mpip install ./
 
+      - name: "Install python dependencies for pyposeidon + telemac"
+        run: |
+          eval "$(micromamba shell hook)"
+          micromamba activate "${PYPOS_TEL_ENV}"
+          python -mpip install -U pip
+          python -mpip install -r "${REQUIREMENTS_CI_TEL}"
+          python -mpip install ./
+
       - name: "Run tests: Basic"
         run: |
           eval "$(micromamba shell hook)"
@@ -178,14 +200,18 @@ jobs:
         run: |
           eval "$(micromamba shell hook)"
           micromamba activate "${SCHISM_ENV}"
-          # micromamba activate --stack "${DELFT3D_ENV}"
           micromamba activate --stack "${PYPOSEIDON_ENV}"
           make test_schism
 
       - name: "Run tests: Delft"
         run: |
           eval "$(micromamba shell hook)"
-          # micromamba activate "${SCHISM_ENV}"
-          micromamba activate --stack "${DELFT3D_ENV}"
+          micromamba activate "${DELFT3D_ENV}"
           micromamba activate --stack "${PYPOSEIDON_ENV}"
           make test_delft
+
+      - name: "Run tests: TELEMAC"
+        run: |
+          eval "$(micromamba shell hook)"
+          micromamba activate "${PYPOS_TEL_ENV}"
+          make test_telemac
diff --git a/Makefile b/Makefile
index 14b5c797..c3603ad5 100644
--- a/Makefile
+++ b/Makefile
@@ -6,10 +6,10 @@ init:
 	poetry install -E viz --with dev --with docs --with test
 
 test:
-	pytest -vl --durations=10 -m 'not (schism or delft or viz or slow)' -n auto
+	pytest -vl --durations=10 -m 'not (schism or delft or telemac or viz or slow)' -n auto
 
 test_fail:
-	pytest -vl --lf --runschism --rundelft --runviz
+	pytest -vl --lf --runschism --rundelft --runtelemac --runviz
 
 test_viz:
 	pytest -vl --durations=10 --runviz -m viz
@@ -20,8 +20,11 @@ test_schism:
 test_delft:
 	pytest -vl --durations=10 --rundelft -m delft
 
+test_telemac:
+	pytest -vl --durations=10 --runtelemac -m telemac
+
 test_full:
-	pytest -vl --durations=20 --runschism --rundelft --runviz
+	pytest -vl --durations=20 --runschism --rundelft --runtelemac --runviz
 
 conda_lock:
 	./scripts/generate_envs.sh
@@ -32,6 +35,7 @@ poetry_lock:
 	poetry export --without-hashes -f requirements.txt -o locks/requirements.txt
 	poetry export --without-hashes -f requirements.txt --extras viz -o locks/requirements-viz.txt
 	poetry export --without-hashes -f requirements.txt --with dev --with test -o locks/requirements-ci.txt
+	poetry export --without-hashes -f requirements.txt --with dev --with test --with telemac -o locks/requirements-ci-telemac.txt
 	poetry export --without-hashes -f requirements.txt --extras viz --with dev --with docs --with test -o locks/requirements-full.txt
 
 lock: \
diff --git a/Tutorial/TELEMAC.ipynb b/Tutorial/TELEMAC.ipynb
new file mode 100644
index 00000000..bd8a06b5
--- /dev/null
+++ b/Tutorial/TELEMAC.ipynb
@@ -0,0 +1,724 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2e3e73eb",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# The Model module"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b55dcdc7",
+   "metadata": {},
+   "source": [
+    "The top module handles the main setup of the instance. \n",
+    "\n",
+    "\n",
+    "- Requires:\n",
+    "\n",
+    "    - The data folder. See [README](README.md) in this folder."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c7dc5c43",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#to use the full width of the browser window\n",
+    "from IPython.display import display, HTML\n",
+    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aca5a378",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Not neccessarily needed. Just to check version. Must be >= 0.6\n",
+    "import pyposeidon\n",
+    "pyposeidon.__version__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cac5ab42",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pyposeidon.model as pm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66071b72",
+   "metadata": {},
+   "source": [
+    "### Graphics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "356b1f61",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pyposeidon.utils.pplot # initialize matplolib accessor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dc0b09e2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#optional\n",
+    "#pyposeidon.utils.pplot.__init__(dark_background=True) # set plt style for pplot graphics below"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2817124",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pyposeidon.utils.hplot # initialize pyviz accessor"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6a6d2620",
+   "metadata": {},
+   "source": [
+    "- In order to have within the Notebook the executable binaries installed in the conda env of the Kernel we add the corresponding path to the env PATH. This is not needed when we are running from python."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4c745b1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create a folder to save the output\n",
+    "import os\n",
+    "if not os.path.exists('test'):\n",
+    "            os.makedirs('test')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9fb41bc5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy\n",
+    "cpath = numpy.__path__[0].split('/lib/')[0] # get the current kernel path\n",
+    "\n",
+    "os.environ['PATH'] += os.pathsep + cpath + '/bin' # add to PATH"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "598b91bf",
+   "metadata": {},
+   "source": [
+    "## Setup"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "93bcdedd",
+   "metadata": {},
+   "source": [
+    "The minimum information required is the geometry's extent. In the most simple case that is a lat/lon box that defines the area of interest. Without loss of generality we select below Iceland as a test case. Feel free to modify the coordinates. \n",
+    "\n",
+    "In addition, the coastlines need to be provided as internal boundaries. Without loss of generality, natural earth's 'intermediate' resolution (https://www.naturalearthdata.com/downloads/) is used here.\n",
+    "\n",
+    "The coastlines can be given as a shapefile or GeoDataFrame."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "15b6d59b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use cartopy to get coastlines\n",
+    "import cartopy.feature as cf\n",
+    "\n",
+    "cr='i'\n",
+    "\n",
+    "coast = cf.NaturalEarthFeature(\n",
+    "    category='physical',\n",
+    "    name='land',\n",
+    "    scale='{}m'.format({'l':110, 'i':50, 'h':10}[cr]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5a2151f9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import geopandas as gp\n",
+    "ne_i = gp.GeoDataFrame(geometry = [x for x in coast.geometries()])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ae446407",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# observations: get SEASET data\n",
+    "import pandas as pd\n",
+    "seaset = pd.read_csv(\"https://raw.githubusercontent.com/tomsail/seaset/main/Notebooks/catalog_full.csv\",\n",
+    "                     index_col=0)\n",
+    "seaset.to_csv(\"data/seaset_full.csv\")\n",
+    "seaset.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a0d18560",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#define in a dictionary the properties of the model..\n",
+    "model={'solver_name':'telemac',\n",
+    "     'geometry':{'lon_min' : -25,'lon_max' : -12.,'lat_min' : 56.,'lat_max' : 74.},\n",
+    "     'coastlines':ne_i,  # coastlines\n",
+    "#     'manning':.12, #uniform manning value\n",
+    "#     'windrot':0.00001, #uniform windrot value\n",
+    "#     'tag':'schism', # optional tag \n",
+    "     'mesh_generator' : 'jigsaw', # set mesh generator  \n",
+    "     'start_date':'2017-10-1 0:0:0',\n",
+    "     'time_frame':'12H',\n",
+    "     'meteo_source' : ['./data/erai.grib'], #path to meteo files\n",
+    "     'dem_source' : './data/dem.nc', #path to dem file\n",
+    "#     'ncores': 4 , # optional number of cores\n",
+    "     'dt' : 50,\n",
+    "     'rpath':'./test/telemac/', #location of calc folder\n",
+    "#     'update':['all'], #set which component should be updated  (meteo,dem,model)\n",
+    "    'monitor':True, # get time series for observation points\n",
+    "    'obs' : \"data/seaset_full.csv\",\n",
+    "    }"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dbe6859d",
+   "metadata": {},
+   "source": [
+    "## Initialize"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a5579622",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#initialize a model\n",
+    "model['mesh_generator'] = 'jigsaw'\n",
+    "b = pm.set(**model)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b798571e",
+   "metadata": {},
+   "source": [
+    "## Step by Step process"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "72e0ce36",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b.create()\n",
+    "b.mesh.Dataset.pplot.mesh()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "934a4e51",
+   "metadata": {},
+   "source": [
+    "TPXO tide have been implemented, but have not been tested in pyposeidon.\n",
+    "\n",
+    "We will show here a simple case of surge model, without tide forcing at the boundaries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "287fad5a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b.mesh.Dataset.type[:] = 'closed' # here for a surge application, we will close all boundaries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "acdc35fb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b.output()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c40436e9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b.save() # saves the json model file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b088274b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b.set_obs() # setup station points"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "405739f1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b.run() # execute"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4bb8672d",
+   "metadata": {},
+   "source": [
+    "## ... or simply in one step\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a8957dd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#initialize a model\n",
+    "b = pm.set(**model)\n",
+    "b.execute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4fd6fac9",
+   "metadata": {},
+   "source": [
+    "The various datasets incorporated in the model can be accessed independently as attributes, namely :"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c966830",
+   "metadata": {},
+   "source": [
+    "- Meteo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3adcd3b0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#plt.figure() # xarray uses existing ax if any. You might need to create a new figure to do it separately.\n",
+    "b.meteo.Dataset.msl[2,:,:].plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fda43cb1",
+   "metadata": {},
+   "source": [
+    "- Mesh"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e0cb7609",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b.mesh.Dataset.hplot.mesh() "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4245edff",
+   "metadata": {},
+   "source": [
+    "- Dem"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ce61dd43",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b.dem.Dataset.elevation.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6301c07c",
+   "metadata": {},
+   "source": [
+    "- Coastlines"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e7f11425",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b.coastlines.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5c6208f",
+   "metadata": {},
+   "source": [
+    "- Boundaries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7ffdcae7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b.mesh.boundary.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3e936652",
+   "metadata": {},
+   "source": [
+    "## Output"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0642af80",
+   "metadata": {},
+   "source": [
+    "The output of the simulations could be in separate files (due to MPI) or specific folders. pyposeidon can incorporate the resulting Datasets with "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "edee32bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b.results(remove_zarr=False) # integrate output"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f614eb62",
+   "metadata": {},
+   "source": [
+    "using [xarray-selafin](https://github.com/seareport/xarray-selafin/) directly on the selafin files: "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "35a2c144",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "out = xr.open_dataset(b.rpath + '/results_2D.slf', engine = 'selafin', lazy_loading = False)\n",
+    "out"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52dfbe98",
+   "metadata": {},
+   "source": [
+    "Or using xarray on the generated results: "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5ed5d149",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "! tar -xvf test/telemac/outputs/out_2D.zarr.tar"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10a1de6a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "out = xr.open_dataset('out_2D.zarr')\n",
+    "out"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b4256c07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "out.pplot.mesh(x='longitude', y = 'latitude', e='face_nodes')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "88bd5215",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "it = 2\n",
+    "u, v = out.u.isel(time = it).values, out.v.isel(time = it).values\n",
+    "out.pplot.quiver(x='longitude', y = 'latitude', it = 2, u=u, v=v, scale=.5, title='hvel', color='k')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc1eeecd",
+   "metadata": {},
+   "source": [
+    "### with hvplot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a0cf4968",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "out.hplot.contourf(var='depth')#,tiles=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3084498c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "out.hplot.mesh(width=800, height=400,tiles=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dab51e7b",
+   "metadata": {},
+   "source": [
+    "### Animate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "494c484d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np \n",
+    "v = out.pplot.frames(x='longitude', \n",
+    "                     y = 'latitude', \n",
+    "                     e='face_nodes',\n",
+    "                     var='elev',\n",
+    "                     title='SSH', \n",
+    "                     vmin = -.5, \n",
+    "                     vmax =.5) # change to hplot for holoviews\n",
+    "v"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "37ad3906",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "v.save('test/elev.mp4')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b06c0fd4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "u, v = out.u.values, out.v.values\n",
+    "out.pplot.qframes(x='longitude', \n",
+    "                     y = 'latitude', \n",
+    "                     e='face_nodes',\n",
+    "                     u=u,v=v,title='Vel',scale=.5)#, color='w')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9741c129",
+   "metadata": {},
+   "source": [
+    "## Read Model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dcb38bee",
+   "metadata": {},
+   "source": [
+    "If a model is created by `pyposeidon` then there is a `json` file that describes the model. Such a file can be read into `pyposeidon` with "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c5c0555f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a = pyposeidon.model.read('test/telemac/telemac2d_model.json')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "80e32da8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a.execute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "12ec7eeb",
+   "metadata": {},
+   "source": [
+    "However, there might be a model created by other means. `pyposeidon` does its best to incorporate such model with"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aacd277e",
+   "metadata": {},
+   "source": [
+    "TELEMAC Works up until here \n",
+    "\n",
+    "`read_folder()` class function is yet to be implemented"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "39a6005e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c = pm.set(solver_name='telemac', rfolder = './test/telemac/', load_geo=True, load_meteo=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3f5254c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c.mesh.Dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c2b4eaac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c.meteo.Dataset"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/dependencies/binary.yml b/dependencies/binary.yml
index 7f7ce539..a0379c64 100644
--- a/dependencies/binary.yml
+++ b/dependencies/binary.yml
@@ -1,5 +1,4 @@
 channels:
-  - gbrey
   - conda-forge
 dependencies:
   - compilers
diff --git a/dependencies/dev.yml b/dependencies/dev.yml
index 72c54d63..01f24d48 100644
--- a/dependencies/dev.yml
+++ b/dependencies/dev.yml
@@ -2,7 +2,6 @@
 
 channels:
   - "conda-forge"
-  - "gbrey"
 
 dependencies:
   - "black<24.0"
diff --git a/dependencies/docs.yml b/dependencies/docs.yml
index f5fb8885..88a3a3a5 100644
--- a/dependencies/docs.yml
+++ b/dependencies/docs.yml
@@ -2,7 +2,6 @@
 
 channels:
   - "conda-forge"
-  - "gbrey"
 
 dependencies:
   - "mkdocs"
diff --git a/dependencies/main.yml b/dependencies/main.yml
index 0cb75638..9d976526 100644
--- a/dependencies/main.yml
+++ b/dependencies/main.yml
@@ -1,7 +1,6 @@
 ---
 channels:
   - "conda-forge"
-  - "gbrey"
 
 dependencies:
   - "bottleneck"
diff --git a/dependencies/python3.10.yml b/dependencies/python3.10.yml
index dffc4b84..d551df24 100644
--- a/dependencies/python3.10.yml
+++ b/dependencies/python3.10.yml
@@ -1,5 +1,4 @@
 channels:
-  - gbrey
   - conda-forge
 dependencies:
   - python=3.10
diff --git a/dependencies/python3.11.yml b/dependencies/python3.11.yml
index df8be7cd..a7a34d40 100644
--- a/dependencies/python3.11.yml
+++ b/dependencies/python3.11.yml
@@ -1,5 +1,4 @@
 channels:
-  - gbrey
   - conda-forge
 dependencies:
   - python=3.11
diff --git a/dependencies/python3.12.yml b/dependencies/python3.12.yml
index 8ef45069..3b21d6a7 100644
--- a/dependencies/python3.12.yml
+++ b/dependencies/python3.12.yml
@@ -1,5 +1,4 @@
 channels:
-  - gbrey
   - conda-forge
 dependencies:
   - python=3.12
diff --git a/dependencies/python3.9.yml b/dependencies/python3.9.yml
index c372b2df..e6fe6679 100644
--- a/dependencies/python3.9.yml
+++ b/dependencies/python3.9.yml
@@ -1,5 +1,4 @@
 channels:
-  - gbrey
   - conda-forge
 dependencies:
   - python=3.9
diff --git a/dependencies/telemac.yml b/dependencies/telemac.yml
new file mode 100644
index 00000000..fb64a988
--- /dev/null
+++ b/dependencies/telemac.yml
@@ -0,0 +1,4 @@
+channels:
+  - conda-forge
+dependencies:
+  - opentelemac
diff --git a/environments/binary-telemac-p3.10.yml b/environments/binary-telemac-p3.10.yml
new file mode 100644
index 00000000..26b3fa35
--- /dev/null
+++ b/environments/binary-telemac-p3.10.yml
@@ -0,0 +1,15 @@
+channels:
+  - conda-forge
+dependencies:
+  - compilers
+  - eccodes
+  - ffmpeg
+  - gdal
+  - geos
+  - gmsh>=4.9.3
+  - jigsaw>=0.9.12
+  - opentelemac
+  - pip
+  - proj
+  - python=3.10
+
diff --git a/environments/binary-telemac-p3.11.yml b/environments/binary-telemac-p3.11.yml
new file mode 100644
index 00000000..2afc0846
--- /dev/null
+++ b/environments/binary-telemac-p3.11.yml
@@ -0,0 +1,15 @@
+channels:
+  - conda-forge
+dependencies:
+  - compilers
+  - eccodes
+  - ffmpeg
+  - gdal
+  - geos
+  - gmsh>=4.9.3
+  - jigsaw>=0.9.12
+  - opentelemac
+  - pip
+  - proj
+  - python=3.11
+
diff --git a/environments/binary-telemac-p3.12.yml b/environments/binary-telemac-p3.12.yml
new file mode 100644
index 00000000..ebfc3cf8
--- /dev/null
+++ b/environments/binary-telemac-p3.12.yml
@@ -0,0 +1,15 @@
+channels:
+  - conda-forge
+dependencies:
+  - compilers
+  - eccodes
+  - ffmpeg
+  - gdal
+  - geos
+  - gmsh>=4.9.3
+  - jigsaw>=0.9.12
+  - opentelemac
+  - pip
+  - proj
+  - python=3.12
+
diff --git a/environments/binary-telemac-p3.9.yml b/environments/binary-telemac-p3.9.yml
new file mode 100644
index 00000000..924deb49
--- /dev/null
+++ b/environments/binary-telemac-p3.9.yml
@@ -0,0 +1,15 @@
+channels:
+  - conda-forge
+dependencies:
+  - compilers
+  - eccodes
+  - ffmpeg
+  - gdal
+  - geos
+  - gmsh>=4.9.3
+  - jigsaw>=0.9.12
+  - opentelemac
+  - pip
+  - proj
+  - python=3.9
+
diff --git a/locks/binary-p3.10.yml b/locks/binary-p3.10.yml
index 2c562684..e874f7d9 100644
--- a/locks/binary-p3.10.yml
+++ b/locks/binary-p3.10.yml
@@ -601,7 +601,6 @@ package:
     harfbuzz: '>=9.0.0,<10.0a0'
     lame: '>=3.100,<3.101.0a0'
     libass: '>=0.17.1,<0.17.2.0a0'
-    libgcc-ng: '>=12'
     libiconv: '>=1.17,<2.0a0'
     libopenvino: '>=2024.2.0,<2024.2.1.0a0'
     libopenvino-auto-batch-plugin: '>=2024.2.0,<2024.2.1.0a0'
@@ -1225,66 +1224,27 @@ package:
   category: main
   optional: false
 - name: gettext
-  version: 0.22.5
+  version: 0.21.1
   manager: conda
   platform: linux-64
   dependencies:
-    gettext-tools: 0.22.5
-    libasprintf: 0.22.5
-    libasprintf-devel: 0.22.5
     libgcc-ng: '>=12'
-    libgettextpo: 0.22.5
-    libgettextpo-devel: 0.22.5
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.22.5-h59595ed_2.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.21.1-h27087fc_0.tar.bz2
   hash:
-    md5: 219ba82e95d7614cf7140d2a4afc0926
-    sha256: 386181254ddd2aed1fccdfc217da5b6545f6df4e9979ad8e08f5e91e22eaf7dc
+    md5: 14947d8770185e5153fdd04d4673ed37
+    sha256: 4fcfedc44e4c9a053f0416f9fc6ab6ed50644fca3a761126dbd00d09db1f546a
   category: main
   optional: false
 - name: gettext
-  version: 0.22.5
-  manager: conda
-  platform: osx-64
-  dependencies:
-    gettext-tools: 0.22.5
-    libasprintf: 0.22.5
-    libasprintf-devel: 0.22.5
-    libcxx: '>=16'
-    libgettextpo: 0.22.5
-    libgettextpo-devel: 0.22.5
-    libiconv: '>=1.17,<2.0a0'
-    libintl: 0.22.5
-    libintl-devel: 0.22.5
-  url: https://conda.anaconda.org/conda-forge/osx-64/gettext-0.22.5-h5ff76d1_2.conda
-  hash:
-    md5: c09b3dcf2adc5a2a32d11ab90289b8fa
-    sha256: ba9a4680b018a4ca517ec20beb25b09c97e293ecd16b931075e689db10291712
-  category: main
-  optional: false
-- name: gettext-tools
-  version: 0.22.5
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-tools-0.22.5-h59595ed_2.conda
-  hash:
-    md5: 985f2f453fb72408d6b6f1be0f324033
-    sha256: 67d7b1d6fe4f1c516df2000640ec7dcfebf3ff6ea0785f0276870e730c403d33
-  category: main
-  optional: false
-- name: gettext-tools
-  version: 0.22.5
+  version: 0.21.1
   manager: conda
   platform: osx-64
   dependencies:
     libiconv: '>=1.17,<2.0a0'
-    libintl: 0.22.5
-  url: https://conda.anaconda.org/conda-forge/osx-64/gettext-tools-0.22.5-h5ff76d1_2.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/gettext-0.21.1-h8a4c099_0.tar.bz2
   hash:
-    md5: 37e1cb0efeff4d4623a6357e37e0105d
-    sha256: 4db71a66340d068c57e16c574c356db6df54ac0147b5b26d3313093f7854ee6d
+    md5: 1e3aff29ce703d421c43f371ad676cc5
+    sha256: 915d3cd2d777b9b3fc2e87a25901b8e4a6aa1b2b33cf2ba54e9e9ed4f6b67d94
   category: main
   optional: false
 - name: gfortran
@@ -1526,12 +1486,12 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda
+    libgcc-ng: '>=7.5.0'
+    libstdcxx-ng: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h58526e2_1001.tar.bz2
   hash:
-    md5: f87c7b7c2cb45f323ffbce941c78ab7c
-    sha256: 0595b009f20f8f60f13a6398e7cdcbd2acea5f986633adcf85f5a2283c992add
+    md5: 8c54672728e8ec6aa6db90cf2806d220
+    sha256: 65da967f3101b737b08222de6a6a14e20e480e7d523a5d1e19ace7b960b5d6b1
   category: main
   optional: false
 - name: graphite2
@@ -1539,11 +1499,11 @@ package:
   manager: conda
   platform: osx-64
   dependencies:
-    libcxx: '>=16'
-  url: https://conda.anaconda.org/conda-forge/osx-64/graphite2-1.3.13-h73e2aa4_1003.conda
+    libcxx: '>=10.0.1'
+  url: https://conda.anaconda.org/conda-forge/osx-64/graphite2-1.3.13-h2e338ed_1001.tar.bz2
   hash:
-    md5: fc7124f86e1d359fc5d878accd9e814c
-    sha256: b71db966e47cd83b16bfcc2099b8fa87c07286f24a0742078fede4c84314f91a
+    md5: 5f6e7f98caddd0fc2d345b207531814c
+    sha256: 1dba68533e6888c5e2a7e37119a77d6f388fb82721c530ba3bd28d541828e59b
   category: main
   optional: false
 - name: gxx
@@ -1760,7 +1720,6 @@ package:
   platform: linux-64
   dependencies:
     freeglut: '>=3.2.2,<4.0a0'
-    libgcc-ng: '>=12'
     libglu: '>=9.0.0,<10.0a0'
     libjpeg-turbo: '>=3.0.0,<4.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/jasper-4.2.4-h536e39c_0.conda
@@ -2052,28 +2011,28 @@ package:
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.2-h59595ed_1.conda
   hash:
-    md5: 5e97e271911b8b2001a8b71860c32faa
-    sha256: 2ef420a655528bca9d269086cf33b7e90d2f54ad941b437fb1ed5eca87cee017
+    md5: 127b0be54c1c90760d7fe02ea7a56426
+    sha256: fdde15e74dc099ab1083823ec0f615958e53d9a8fae10405af977de251668bea
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: osx-64
   dependencies:
-    libcxx: '>=16'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.3-h73e2aa4_0.conda
+    libcxx: '>=15.0.7'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.2-he965462_1.conda
   hash:
-    md5: 66d3c1f6dd4636216b4fca7a748d50eb
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   optional: false
 - name: libarchive
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   category: main
   optional: false
-- name: libasprintf
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-  manager: conda
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-  dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libasprintf-0.22.5-h661eb56_2.conda
-  hash:
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-    sha256: 31d58af7eb54e2938123200239277f14893c5fa4b5d0280c8cf55ae10000638b
-  category: main
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-- name: libasprintf
-  version: 0.22.5
-  manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libasprintf-0.22.5-h5ff76d1_2.conda
-  hash:
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-- name: libasprintf-devel
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-  manager: conda
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-  dependencies:
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libasprintf-devel-0.22.5-h661eb56_2.conda
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-    sha256: 99d26d272a8203d30b3efbe734a99c823499884d7759b4291674438137c4b5ca
-  category: main
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-- name: libasprintf-devel
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-  manager: conda
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libasprintf-devel-0.22.5-h5ff76d1_2.conda
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@@ -2209,11 +2119,11 @@ package:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-22_linux64_openblas.conda
+    libopenblas: '>=0.3.26,<1.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-21_linux64_openblas.conda
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   optional: false
 - name: libblas
@@ -2221,11 +2131,11 @@ package:
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   platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-22_osx64_openblas.conda
+    libopenblas: '>=0.3.26,<1.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-21_osx64_openblas.conda
   hash:
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   category: main
   optional: false
 - name: libcblas
@@ -2234,10 +2144,10 @@ package:
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     libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-22_linux64_openblas.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-21_linux64_openblas.conda
   hash:
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   category: main
   optional: false
 - name: libcblas
@@ -2246,10 +2156,10 @@ package:
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   dependencies:
     libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-22_osx64_openblas.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-21_osx64_openblas.conda
   hash:
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   category: main
   optional: false
 - name: libclang-cpp16
@@ -2314,26 +2224,26 @@ package:
   category: main
   optional: false
 - name: libdeflate
-  version: '1.20'
+  version: '1.19'
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.20-hd590300_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.19-hd590300_0.conda
   hash:
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+    sha256: 985ad27aa0ba7aad82afa88a8ede6a1aacb0aaca950d710f15d85360451e72fd
   category: main
   optional: false
 - name: libdeflate
-  version: '1.20'
+  version: '1.19'
   manager: conda
   platform: osx-64
   dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.20-h49d49c5_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.19-ha4e1b8e_0.conda
   hash:
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   category: main
   optional: false
 - name: libdrm
@@ -2525,8 +2435,8 @@ package:
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     libcurl: '>=8.8.0,<9.0a0'
     libcxx: '>=16'
-    libdeflate: '>=1.20,<1.21.0a0'
-    libexpat: '>=2.6.2,<3.0a0'
+    libdeflate: '>=1.19,<1.20.0a0'
+    libexpat: '>=2.6.1,<3.0a0'
     libiconv: '>=1.17,<2.0a0'
     libjpeg-turbo: '>=3.0.0,<4.0a0'
     libkml: '>=1.3.0,<1.4.0a0'
@@ -2802,31 +2712,6 @@ package:
     sha256: 54430e45dffa8cbe3cbf12a3f4376947e7e2d50c67db90a90e91c3350510823e
   category: main
   optional: false
-- name: libintl
-  version: 0.22.5
-  manager: conda
-  platform: osx-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libintl-0.22.5-h5ff76d1_2.conda
-  hash:
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-    sha256: 280aaef0ed84637ee869012ad9ad9ed208e068dd9b8cf010dafeea717dad7203
-  category: main
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-- name: libintl-devel
-  version: 0.22.5
-  manager: conda
-  platform: osx-64
-  dependencies:
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-    libintl: 0.22.5
-  url: https://conda.anaconda.org/conda-forge/osx-64/libintl-devel-0.22.5-h5ff76d1_2.conda
-  hash:
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-  category: main
-  optional: false
 - name: libjpeg-turbo
   version: 3.0.0
   manager: conda
@@ -2889,10 +2774,10 @@ package:
   platform: linux-64
   dependencies:
     libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-22_linux64_openblas.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-21_linux64_openblas.conda
   hash:
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+    sha256: 64b5c35dce00dd6f9f53178b2fe87116282e00967970bd6551a5a42923806ded
   category: main
   optional: false
 - name: liblapack
@@ -2901,10 +2786,10 @@ package:
   platform: osx-64
   dependencies:
     libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-22_osx64_openblas.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-21_osx64_openblas.conda
   hash:
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-    sha256: e36744f3e780564d6748b5dd05e15ad6a1af9184cf32ab9d1304c13a6bc3e16b
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   category: main
   optional: false
 - name: libllvm16
@@ -3019,7 +2904,7 @@ package:
   category: main
   optional: false
 - name: libopenblas
-  version: 0.3.27
+  version: 0.3.26
   manager: conda
   platform: linux-64
   dependencies:
@@ -3033,7 +2918,7 @@ package:
   category: main
   optional: false
 - name: libopenblas
-  version: 0.3.27
+  version: 0.3.26
   manager: conda
   platform: osx-64
   dependencies:
@@ -3739,7 +3624,7 @@ package:
   platform: linux-64
   dependencies:
     lerc: '>=4.0.0,<5.0a0'
-    libdeflate: '>=1.20,<1.21.0a0'
+    libdeflate: '>=1.19,<1.20.0a0'
     libgcc-ng: '>=12'
     libjpeg-turbo: '>=3.0.0,<4.0a0'
     libstdcxx-ng: '>=12'
@@ -3747,10 +3632,10 @@ package:
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     xz: '>=5.2.6,<6.0a0'
     zstd: '>=1.5.5,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-h1dd3fc0_3.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-ha9c0a0a_2.conda
   hash:
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   category: main
   optional: false
 - name: libtiff
@@ -3759,17 +3644,17 @@ package:
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   dependencies:
     lerc: '>=4.0.0,<5.0a0'
-    libcxx: '>=16'
-    libdeflate: '>=1.20,<1.21.0a0'
+    libcxx: '>=15.0.7'
+    libdeflate: '>=1.19,<1.20.0a0'
     libjpeg-turbo: '>=3.0.0,<4.0a0'
     libwebp-base: '>=1.3.2,<2.0a0'
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     xz: '>=5.2.6,<6.0a0'
     zstd: '>=1.5.5,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.6.0-h129831d_3.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.6.0-h684deea_2.conda
   hash:
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   category: main
   optional: false
 - name: libunistring
@@ -4133,11 +4018,11 @@ package:
   manager: conda
   platform: osx-64
   dependencies:
-    gmp: '>=6.3.0,<7.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/mpfr-4.2.1-h4f6b447_1.conda
+    gmp: '>=6.2.1,<7.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/mpfr-4.2.1-h0c69b56_0.conda
   hash:
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-    sha256: 002209e7d1f21cdd04de17050ab2050de4347e5bf04210ce6a636cbabf43e1d0
+    md5: d545aecded064848432bc994075dfccf
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   category: main
   optional: false
 - name: ncurses
@@ -4967,27 +4852,27 @@ package:
   category: main
   optional: false
 - name: wheel
-  version: 0.43.0
+  version: 0.42.0
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.43.0-pyhd8ed1ab_1.conda
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.42.0-pyhd8ed1ab_0.conda
   hash:
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-    sha256: cb318f066afd6fd64619f14c030569faf3f53e6f50abf743b4c865e7d95b96bc
+    md5: 1cdea58981c5cbc17b51973bcaddcea7
+    sha256: 80be0ccc815ce22f80c141013302839b0ed938a2edb50b846cf48d8a8c1cfa01
   category: main
   optional: false
 - name: wheel
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+  version: 0.42.0
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   dependencies:
-    python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.43.0-pyhd8ed1ab_1.conda
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.42.0-pyhd8ed1ab_0.conda
   hash:
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-    sha256: cb318f066afd6fd64619f14c030569faf3f53e6f50abf743b4c865e7d95b96bc
+    md5: 1cdea58981c5cbc17b51973bcaddcea7
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   category: main
   optional: false
 - name: x264
@@ -5178,7 +5063,7 @@ package:
   category: main
   optional: false
 - name: xorg-libx11
-  version: 1.8.9
+  version: 1.8.7
   manager: conda
   platform: linux-64
   dependencies:
@@ -5194,7 +5079,7 @@ package:
   category: main
   optional: false
 - name: xorg-libx11
-  version: 1.8.9
+  version: 1.8.7
   manager: conda
   platform: osx-64
   dependencies:
diff --git a/locks/binary-p3.11.yml b/locks/binary-p3.11.yml
index bbb6ae18..489464e8 100644
--- a/locks/binary-p3.11.yml
+++ b/locks/binary-p3.11.yml
@@ -601,7 +601,6 @@ package:
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     lame: '>=3.100,<3.101.0a0'
     libass: '>=0.17.1,<0.17.2.0a0'
-    libgcc-ng: '>=12'
     libiconv: '>=1.17,<2.0a0'
     libopenvino: '>=2024.2.0,<2024.2.1.0a0'
     libopenvino-auto-batch-plugin: '>=2024.2.0,<2024.2.1.0a0'
@@ -1225,66 +1224,27 @@ package:
   category: main
   optional: false
 - name: gettext
-  version: 0.22.5
+  version: 0.21.1
   manager: conda
   platform: linux-64
   dependencies:
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-    libasprintf: 0.22.5
-    libasprintf-devel: 0.22.5
     libgcc-ng: '>=12'
-    libgettextpo: 0.22.5
-    libgettextpo-devel: 0.22.5
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.22.5-h59595ed_2.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.21.1-h27087fc_0.tar.bz2
   hash:
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-    sha256: 386181254ddd2aed1fccdfc217da5b6545f6df4e9979ad8e08f5e91e22eaf7dc
+    md5: 14947d8770185e5153fdd04d4673ed37
+    sha256: 4fcfedc44e4c9a053f0416f9fc6ab6ed50644fca3a761126dbd00d09db1f546a
   category: main
   optional: false
 - name: gettext
-  version: 0.22.5
-  manager: conda
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-    libasprintf: 0.22.5
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-    libiconv: '>=1.17,<2.0a0'
-    libintl: 0.22.5
-    libintl-devel: 0.22.5
-  url: https://conda.anaconda.org/conda-forge/osx-64/gettext-0.22.5-h5ff76d1_2.conda
-  hash:
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-    sha256: ba9a4680b018a4ca517ec20beb25b09c97e293ecd16b931075e689db10291712
-  category: main
-  optional: false
-- name: gettext-tools
-  version: 0.22.5
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-tools-0.22.5-h59595ed_2.conda
-  hash:
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-    sha256: 67d7b1d6fe4f1c516df2000640ec7dcfebf3ff6ea0785f0276870e730c403d33
-  category: main
-  optional: false
-- name: gettext-tools
-  version: 0.22.5
+  version: 0.21.1
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   platform: osx-64
   dependencies:
     libiconv: '>=1.17,<2.0a0'
-    libintl: 0.22.5
-  url: https://conda.anaconda.org/conda-forge/osx-64/gettext-tools-0.22.5-h5ff76d1_2.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/gettext-0.21.1-h8a4c099_0.tar.bz2
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-    libstdcxx-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/osx-64/graphite2-1.3.13-h73e2aa4_1003.conda
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     libstdcxx-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-22_linux64_openblas.conda
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-22_osx64_openblas.conda
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-22_linux64_openblas.conda
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-22_osx64_openblas.conda
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+  version: '1.19'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-22_linux64_openblas.conda
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-  url: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-22_osx64_openblas.conda
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 - name: xorg-libx11
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+  version: 1.8.7
   manager: conda
   platform: linux-64
   dependencies:
@@ -5197,7 +5082,7 @@ package:
   category: main
   optional: false
 - name: xorg-libx11
-  version: 1.8.9
+  version: 1.8.7
   manager: conda
   platform: osx-64
   dependencies:
diff --git a/locks/binary-p3.9.yml b/locks/binary-p3.9.yml
index fc149ebf..aa62a0de 100644
--- a/locks/binary-p3.9.yml
+++ b/locks/binary-p3.9.yml
@@ -601,7 +601,6 @@ package:
     harfbuzz: '>=9.0.0,<10.0a0'
     lame: '>=3.100,<3.101.0a0'
     libass: '>=0.17.1,<0.17.2.0a0'
-    libgcc-ng: '>=12'
     libiconv: '>=1.17,<2.0a0'
     libopenvino: '>=2024.2.0,<2024.2.1.0a0'
     libopenvino-auto-batch-plugin: '>=2024.2.0,<2024.2.1.0a0'
@@ -1225,66 +1224,27 @@ package:
   category: main
   optional: false
 - name: gettext
-  version: 0.22.5
+  version: 0.21.1
   manager: conda
   platform: linux-64
   dependencies:
-    gettext-tools: 0.22.5
-    libasprintf: 0.22.5
-    libasprintf-devel: 0.22.5
     libgcc-ng: '>=12'
-    libgettextpo: 0.22.5
-    libgettextpo-devel: 0.22.5
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.22.5-h59595ed_2.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.21.1-h27087fc_0.tar.bz2
   hash:
-    md5: 219ba82e95d7614cf7140d2a4afc0926
-    sha256: 386181254ddd2aed1fccdfc217da5b6545f6df4e9979ad8e08f5e91e22eaf7dc
+    md5: 14947d8770185e5153fdd04d4673ed37
+    sha256: 4fcfedc44e4c9a053f0416f9fc6ab6ed50644fca3a761126dbd00d09db1f546a
   category: main
   optional: false
 - name: gettext
-  version: 0.22.5
-  manager: conda
-  platform: osx-64
-  dependencies:
-    gettext-tools: 0.22.5
-    libasprintf: 0.22.5
-    libasprintf-devel: 0.22.5
-    libcxx: '>=16'
-    libgettextpo: 0.22.5
-    libgettextpo-devel: 0.22.5
-    libiconv: '>=1.17,<2.0a0'
-    libintl: 0.22.5
-    libintl-devel: 0.22.5
-  url: https://conda.anaconda.org/conda-forge/osx-64/gettext-0.22.5-h5ff76d1_2.conda
-  hash:
-    md5: c09b3dcf2adc5a2a32d11ab90289b8fa
-    sha256: ba9a4680b018a4ca517ec20beb25b09c97e293ecd16b931075e689db10291712
-  category: main
-  optional: false
-- name: gettext-tools
-  version: 0.22.5
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-tools-0.22.5-h59595ed_2.conda
-  hash:
-    md5: 985f2f453fb72408d6b6f1be0f324033
-    sha256: 67d7b1d6fe4f1c516df2000640ec7dcfebf3ff6ea0785f0276870e730c403d33
-  category: main
-  optional: false
-- name: gettext-tools
-  version: 0.22.5
+  version: 0.21.1
   manager: conda
   platform: osx-64
   dependencies:
     libiconv: '>=1.17,<2.0a0'
-    libintl: 0.22.5
-  url: https://conda.anaconda.org/conda-forge/osx-64/gettext-tools-0.22.5-h5ff76d1_2.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/gettext-0.21.1-h8a4c099_0.tar.bz2
   hash:
-    md5: 37e1cb0efeff4d4623a6357e37e0105d
-    sha256: 4db71a66340d068c57e16c574c356db6df54ac0147b5b26d3313093f7854ee6d
+    md5: 1e3aff29ce703d421c43f371ad676cc5
+    sha256: 915d3cd2d777b9b3fc2e87a25901b8e4a6aa1b2b33cf2ba54e9e9ed4f6b67d94
   category: main
   optional: false
 - name: gfortran
@@ -1526,12 +1486,12 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda
+    libgcc-ng: '>=7.5.0'
+    libstdcxx-ng: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h58526e2_1001.tar.bz2
   hash:
-    md5: f87c7b7c2cb45f323ffbce941c78ab7c
-    sha256: 0595b009f20f8f60f13a6398e7cdcbd2acea5f986633adcf85f5a2283c992add
+    md5: 8c54672728e8ec6aa6db90cf2806d220
+    sha256: 65da967f3101b737b08222de6a6a14e20e480e7d523a5d1e19ace7b960b5d6b1
   category: main
   optional: false
 - name: graphite2
@@ -1539,11 +1499,11 @@ package:
   manager: conda
   platform: osx-64
   dependencies:
-    libcxx: '>=16'
-  url: https://conda.anaconda.org/conda-forge/osx-64/graphite2-1.3.13-h73e2aa4_1003.conda
+    libcxx: '>=10.0.1'
+  url: https://conda.anaconda.org/conda-forge/osx-64/graphite2-1.3.13-h2e338ed_1001.tar.bz2
   hash:
-    md5: fc7124f86e1d359fc5d878accd9e814c
-    sha256: b71db966e47cd83b16bfcc2099b8fa87c07286f24a0742078fede4c84314f91a
+    md5: 5f6e7f98caddd0fc2d345b207531814c
+    sha256: 1dba68533e6888c5e2a7e37119a77d6f388fb82721c530ba3bd28d541828e59b
   category: main
   optional: false
 - name: gxx
@@ -1760,7 +1720,6 @@ package:
   platform: linux-64
   dependencies:
     freeglut: '>=3.2.2,<4.0a0'
-    libgcc-ng: '>=12'
     libglu: '>=9.0.0,<10.0a0'
     libjpeg-turbo: '>=3.0.0,<4.0a0'
   url: https://conda.anaconda.org/conda-forge/linux-64/jasper-4.2.4-h536e39c_0.conda
@@ -2052,28 +2011,28 @@ package:
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.2-h59595ed_1.conda
   hash:
-    md5: 5e97e271911b8b2001a8b71860c32faa
-    sha256: 2ef420a655528bca9d269086cf33b7e90d2f54ad941b437fb1ed5eca87cee017
+    md5: 127b0be54c1c90760d7fe02ea7a56426
+    sha256: fdde15e74dc099ab1083823ec0f615958e53d9a8fae10405af977de251668bea
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: osx-64
   dependencies:
-    libcxx: '>=16'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.3-h73e2aa4_0.conda
+    libcxx: '>=15.0.7'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.2-he965462_1.conda
   hash:
-    md5: 66d3c1f6dd4636216b4fca7a748d50eb
-    sha256: dae5921339c5d89f4bf58a95fd4e9c76270dbf7f6a94f3c5081b574905fcccf8
+    md5: faa179050abc6af1385e0fe9dd074f91
+    sha256: 1b0a0b9b67e8f155ebdc7205a7421c7aff4850a740fc9f88b3fa23282c98ed72
   category: main
   optional: false
 - name: libarchive
@@ -2117,55 +2076,6 @@ package:
     sha256: 9e46db25e976630e6738b351d76d9b79047ae232638b82f9f45eba774caaef8a
   category: main
   optional: false
-- name: libasprintf
-  version: 0.22.5
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libasprintf-0.22.5-h661eb56_2.conda
-  hash:
-    md5: dd197c968bf9760bba0031888d431ede
-    sha256: 31d58af7eb54e2938123200239277f14893c5fa4b5d0280c8cf55ae10000638b
-  category: main
-  optional: false
-- name: libasprintf
-  version: 0.22.5
-  manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libasprintf-0.22.5-h5ff76d1_2.conda
-  hash:
-    md5: ad803793d7168331f1395685cbdae212
-    sha256: 4babb29b8d39ae8b341c094c134a1917c595846e5f974c9d0cb64d3f734b46b1
-  category: main
-  optional: false
-- name: libasprintf-devel
-  version: 0.22.5
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libasprintf: 0.22.5
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libasprintf-devel-0.22.5-h661eb56_2.conda
-  hash:
-    md5: 02e41ab5834dcdcc8590cf29d9526f50
-    sha256: 99d26d272a8203d30b3efbe734a99c823499884d7759b4291674438137c4b5ca
-  category: main
-  optional: false
-- name: libasprintf-devel
-  version: 0.22.5
-  manager: conda
-  platform: osx-64
-  dependencies:
-    libasprintf: 0.22.5
-  url: https://conda.anaconda.org/conda-forge/osx-64/libasprintf-devel-0.22.5-h5ff76d1_2.conda
-  hash:
-    md5: c7182eda3bc727384e2f98f4d680fa7d
-    sha256: 39fa757378b49993142013c1f69dd56248cc3703c2f04c5bcf4cc4acdc644ae3
-  category: main
-  optional: false
 - name: libass
   version: 0.17.1
   manager: conda
@@ -2209,11 +2119,11 @@ package:
   manager: conda
   platform: linux-64
   dependencies:
-    libopenblas: '>=0.3.27,<1.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-22_linux64_openblas.conda
+    libopenblas: '>=0.3.26,<1.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-21_linux64_openblas.conda
   hash:
-    md5: 1a2a0cd3153464fee6646f3dd6dad9b8
-    sha256: 082b8ac20d43a7bbcdc28b3b1cd40e4df3a8b5daf0a2d23d68953a44d2d12c1b
+    md5: 0ac9f44fc096772b0aa092119b00c3ca
+    sha256: ebd5c91f029f779fb88a1fcbd1e499559a9c258e3674ff58a2fbb4e375ae56d9
   category: main
   optional: false
 - name: libblas
@@ -2221,11 +2131,11 @@ package:
   manager: conda
   platform: osx-64
   dependencies:
-    libopenblas: '>=0.3.27,<1.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-22_osx64_openblas.conda
+    libopenblas: '>=0.3.26,<1.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-21_osx64_openblas.conda
   hash:
-    md5: b80966a8c8dd0b531f8e65f709d732e8
-    sha256: d72060239f904b3a81d2329efcf84dc62c2dfd66dbc4efc8dcae1afdf8f02b59
+    md5: 23286066c595986aa0df6452a8416c08
+    sha256: 5381eab20f4793996cf22e58461ea8a3a4dff1442bb45663b5920f2d26288688
   category: main
   optional: false
 - name: libcblas
@@ -2234,10 +2144,10 @@ package:
   platform: linux-64
   dependencies:
     libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-22_linux64_openblas.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-21_linux64_openblas.conda
   hash:
-    md5: 4b31699e0ec5de64d5896e580389c9a1
-    sha256: da1b2faa017663c8f5555c1c5518e96ac4cd8e0be2a673c1c9e2cb8507c8fe46
+    md5: 4a3816d06451c4946e2db26b86472cb6
+    sha256: 467bbfbfe1a1aeb8b1f9f6485eedd8ed1b6318941bf3702da72336ccf4dc25a6
   category: main
   optional: false
 - name: libcblas
@@ -2246,10 +2156,10 @@ package:
   platform: osx-64
   dependencies:
     libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-22_osx64_openblas.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-21_osx64_openblas.conda
   hash:
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-    sha256: 6a2ba9198e2320c3e22fe3d121310cf8a8ac663e94100c5693b34523fcb3cc04
+    md5: 7a1b54774bad723e8ba01ca48eb301b5
+    sha256: e2b1455612d4cfb3ac3170f0c538516ebd0b113780ac6603338245354e1b2f02
   category: main
   optional: false
 - name: libclang-cpp16
@@ -2314,26 +2224,26 @@ package:
   category: main
   optional: false
 - name: libdeflate
-  version: '1.20'
+  version: '1.19'
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.20-hd590300_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.19-hd590300_0.conda
   hash:
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-    sha256: f8e0f25c382b1d0b87a9b03887a34dbd91485453f1ea991fef726dba57373612
+    md5: 1635570038840ee3f9c71d22aa5b8b6d
+    sha256: 985ad27aa0ba7aad82afa88a8ede6a1aacb0aaca950d710f15d85360451e72fd
   category: main
   optional: false
 - name: libdeflate
-  version: '1.20'
+  version: '1.19'
   manager: conda
   platform: osx-64
   dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.20-h49d49c5_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.19-ha4e1b8e_0.conda
   hash:
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-    sha256: 8c2087952db55c4118dd2e29381176a54606da47033fd61ebb1b0f4391fcd28d
+    md5: 6a45f543c2beb40023df5ee7e3cedfbd
+    sha256: d0f789120fedd0881b129aba9993ec5dcf0ecca67a71ea20c74394e41adcb503
   category: main
   optional: false
 - name: libdrm
@@ -2525,8 +2435,8 @@ package:
     libarchive: '>=3.7.4,<3.8.0a0'
     libcurl: '>=8.8.0,<9.0a0'
     libcxx: '>=16'
-    libdeflate: '>=1.20,<1.21.0a0'
-    libexpat: '>=2.6.2,<3.0a0'
+    libdeflate: '>=1.19,<1.20.0a0'
+    libexpat: '>=2.6.1,<3.0a0'
     libiconv: '>=1.17,<2.0a0'
     libjpeg-turbo: '>=3.0.0,<4.0a0'
     libkml: '>=1.3.0,<1.4.0a0'
@@ -2802,31 +2712,6 @@ package:
     sha256: 54430e45dffa8cbe3cbf12a3f4376947e7e2d50c67db90a90e91c3350510823e
   category: main
   optional: false
-- name: libintl
-  version: 0.22.5
-  manager: conda
-  platform: osx-64
-  dependencies:
-    libiconv: '>=1.17,<2.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libintl-0.22.5-h5ff76d1_2.conda
-  hash:
-    md5: 3fb6774cb8cdbb93a6013b67bcf9716d
-    sha256: 280aaef0ed84637ee869012ad9ad9ed208e068dd9b8cf010dafeea717dad7203
-  category: main
-  optional: false
-- name: libintl-devel
-  version: 0.22.5
-  manager: conda
-  platform: osx-64
-  dependencies:
-    libiconv: '>=1.17,<2.0a0'
-    libintl: 0.22.5
-  url: https://conda.anaconda.org/conda-forge/osx-64/libintl-devel-0.22.5-h5ff76d1_2.conda
-  hash:
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-    sha256: e3f15a85c6e63633a5ff503d56366bab31cd2e07ea21559889bc7eb19564106d
-  category: main
-  optional: false
 - name: libjpeg-turbo
   version: 3.0.0
   manager: conda
@@ -2889,10 +2774,10 @@ package:
   platform: linux-64
   dependencies:
     libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-22_linux64_openblas.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-21_linux64_openblas.conda
   hash:
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-    sha256: db246341d42f9100d45adeb1a7ba8b1ef5b51ceb9056fd643e98046a3259fde6
+    md5: 1a42f305615c3867684e049e85927531
+    sha256: 64b5c35dce00dd6f9f53178b2fe87116282e00967970bd6551a5a42923806ded
   category: main
   optional: false
 - name: liblapack
@@ -2901,10 +2786,10 @@ package:
   platform: osx-64
   dependencies:
     libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-22_osx64_openblas.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-21_osx64_openblas.conda
   hash:
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-    sha256: e36744f3e780564d6748b5dd05e15ad6a1af9184cf32ab9d1304c13a6bc3e16b
+    md5: cf0e4d82cfca6cd9d6c9ed3df45907c9
+    sha256: 5d0ef4743e8684ad436e31bd3c378d48642815a20c260d358668ba29cd80987a
   category: main
   optional: false
 - name: libllvm16
@@ -3019,7 +2904,7 @@ package:
   category: main
   optional: false
 - name: libopenblas
-  version: 0.3.27
+  version: 0.3.26
   manager: conda
   platform: linux-64
   dependencies:
@@ -3033,7 +2918,7 @@ package:
   category: main
   optional: false
 - name: libopenblas
-  version: 0.3.27
+  version: 0.3.26
   manager: conda
   platform: osx-64
   dependencies:
@@ -3739,7 +3624,7 @@ package:
   platform: linux-64
   dependencies:
     lerc: '>=4.0.0,<5.0a0'
-    libdeflate: '>=1.20,<1.21.0a0'
+    libdeflate: '>=1.19,<1.20.0a0'
     libgcc-ng: '>=12'
     libjpeg-turbo: '>=3.0.0,<4.0a0'
     libstdcxx-ng: '>=12'
@@ -3747,10 +3632,10 @@ package:
     libzlib: '>=1.2.13,<2.0.0a0'
     xz: '>=5.2.6,<6.0a0'
     zstd: '>=1.5.5,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-h1dd3fc0_3.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-ha9c0a0a_2.conda
   hash:
-    md5: 66f03896ffbe1a110ffda05c7a856504
-    sha256: fc3b210f9584a92793c07396cb93e72265ff3f1fa7ca629128bf0a50d5cb15e4
+    md5: 55ed21669b2015f77c180feb1dd41930
+    sha256: 45158f5fbee7ee3e257e6b9f51b9f1c919ed5518a94a9973fe7fa4764330473e
   category: main
   optional: false
 - name: libtiff
@@ -3759,17 +3644,17 @@ package:
   platform: osx-64
   dependencies:
     lerc: '>=4.0.0,<5.0a0'
-    libcxx: '>=16'
-    libdeflate: '>=1.20,<1.21.0a0'
+    libcxx: '>=15.0.7'
+    libdeflate: '>=1.19,<1.20.0a0'
     libjpeg-turbo: '>=3.0.0,<4.0a0'
     libwebp-base: '>=1.3.2,<2.0a0'
     libzlib: '>=1.2.13,<2.0.0a0'
     xz: '>=5.2.6,<6.0a0'
     zstd: '>=1.5.5,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.6.0-h129831d_3.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.6.0-h684deea_2.conda
   hash:
-    md5: 568593071d2e6cea7b5fc1f75bfa10ca
-    sha256: f9b35c5ec1aea9a2cc20e9275a0bb8f056482faa8c5a62feb243ed780755ea30
+    md5: 2ca10a325063e000ad6d2a5900061e0d
+    sha256: 1ef5bd7295f4316b111f70ad21356fb9f0de50b85a341cac9e3a61ac6487fdf1
   category: main
   optional: false
 - name: libunistring
@@ -4133,11 +4018,11 @@ package:
   manager: conda
   platform: osx-64
   dependencies:
-    gmp: '>=6.3.0,<7.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/mpfr-4.2.1-h4f6b447_1.conda
+    gmp: '>=6.2.1,<7.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/mpfr-4.2.1-h0c69b56_0.conda
   hash:
-    md5: b90df08f0deb2f58631447c1462c92a7
-    sha256: 002209e7d1f21cdd04de17050ab2050de4347e5bf04210ce6a636cbabf43e1d0
+    md5: d545aecded064848432bc994075dfccf
+    sha256: e7c93a5399661b0528981c6fd53e8614eee3f9ba97f92e8167c092c4a5d9368c
   category: main
   optional: false
 - name: ncurses
@@ -4967,27 +4852,27 @@ package:
   category: main
   optional: false
 - name: wheel
-  version: 0.43.0
+  version: 0.42.0
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.43.0-pyhd8ed1ab_1.conda
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.42.0-pyhd8ed1ab_0.conda
   hash:
-    md5: 0b5293a157c2b5cd513dd1b03d8d3aae
-    sha256: cb318f066afd6fd64619f14c030569faf3f53e6f50abf743b4c865e7d95b96bc
+    md5: 1cdea58981c5cbc17b51973bcaddcea7
+    sha256: 80be0ccc815ce22f80c141013302839b0ed938a2edb50b846cf48d8a8c1cfa01
   category: main
   optional: false
 - name: wheel
-  version: 0.43.0
+  version: 0.42.0
   manager: conda
   platform: osx-64
   dependencies:
-    python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.43.0-pyhd8ed1ab_1.conda
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.42.0-pyhd8ed1ab_0.conda
   hash:
-    md5: 0b5293a157c2b5cd513dd1b03d8d3aae
-    sha256: cb318f066afd6fd64619f14c030569faf3f53e6f50abf743b4c865e7d95b96bc
+    md5: 1cdea58981c5cbc17b51973bcaddcea7
+    sha256: 80be0ccc815ce22f80c141013302839b0ed938a2edb50b846cf48d8a8c1cfa01
   category: main
   optional: false
 - name: x264
@@ -5178,7 +5063,7 @@ package:
   category: main
   optional: false
 - name: xorg-libx11
-  version: 1.8.9
+  version: 1.8.7
   manager: conda
   platform: linux-64
   dependencies:
@@ -5194,7 +5079,7 @@ package:
   category: main
   optional: false
 - name: xorg-libx11
-  version: 1.8.9
+  version: 1.8.7
   manager: conda
   platform: osx-64
   dependencies:
diff --git a/locks/binary-telemac-p3.10.yml b/locks/binary-telemac-p3.10.yml
new file mode 100644
index 00000000..25b72dd6
--- /dev/null
+++ b/locks/binary-telemac-p3.10.yml
@@ -0,0 +1,4388 @@
+# This lock file was generated by conda-lock (https://github.com/conda/conda-lock). DO NOT EDIT!
+#
+# A "lock file" contains a concrete list of package versions (with checksums) to be installed. Unlike
+# e.g. `conda env create`, the resulting environment will not change as new package versions become
+# available, unless you explicitly update the lock file.
+#
+# Install this environment as "YOURENV" with:
+#     conda-lock install -n YOURENV binary-telemac-p3.10.yml
+# To update a single package to the latest version compatible with the version constraints in the source:
+#     conda-lock lock  --lockfile binary-telemac-p3.10.yml --update PACKAGE
+# To re-solve the entire environment, e.g. after changing a version constraint in the source file:
+#     conda-lock -f ../environments/binary-telemac-p3.10.yml --lockfile binary-telemac-p3.10.yml
+version: 1
+metadata:
+  content_hash:
+    linux-64: 9a86cab9aa3deced840289609bf8c2e2d666199ad1365a66d2abd468c9fb681d
+  channels:
+  - url: conda-forge
+    used_env_vars: []
+  platforms:
+  - linux-64
+  sources:
+  - ../environments/binary-telemac-p3.10.yml
+package:
+- name: _libgcc_mutex
+  version: '0.1'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
+  hash:
+    md5: d7c89558ba9fa0495403155b64376d81
+    sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726
+  category: main
+  optional: false
+- name: _openmp_mutex
+  version: '4.5'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    _libgcc_mutex: '0.1'
+    libgomp: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+  hash:
+    md5: 73aaf86a425cc6e73fcf236a5a46396d
+    sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22
+  category: main
+  optional: false
+- name: aiohappyeyeballs
+  version: 2.4.4
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.4.4-pyhd8ed1ab_1.conda
+  hash:
+    md5: 296b403617bafa89df4971567af79013
+    sha256: 95d4713e49ea92ae50cf42393683ede706b7875af5f7cb14c253438180afa732
+  category: main
+  optional: false
+- name: aiohttp
+  version: 3.11.10
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    aiohappyeyeballs: '>=2.3.0'
+    aiosignal: '>=1.1.2'
+    async-timeout: '>=4.0,<6.0'
+    attrs: '>=17.3.0'
+    frozenlist: '>=1.1.1'
+    libgcc: '>=13'
+    multidict: '>=4.5,<7.0'
+    propcache: '>=0.2.0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+    yarl: '>=1.17.0,<2.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.11.10-py310h89163eb_0.conda
+  hash:
+    md5: 88ec741ee5b8132d2824dd0034c2f67c
+    sha256: f8a235da7ca8c9ac39869d1ef81881d7670bdc6f7e9f592c48f12d2624b98e5e
+  category: main
+  optional: false
+- name: aiosignal
+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    frozenlist: '>=1.1.0'
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.1-pyhd8ed1ab_1.conda
+  hash:
+    md5: d736bd1b8904d7593dce4893e58a7881
+    sha256: 9c7b639ea0cc796ef46c57fa104ec1f2ed53cd11c063518869a5a9d7d3b0b2db
+  category: main
+  optional: false
+- name: aom
+  version: 3.9.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aom-3.9.1-hac33072_0.conda
+  hash:
+    md5: 346722a0be40f6edc53f12640d301338
+    sha256: b08ef033817b5f9f76ce62dfcac7694e7b6b4006420372de22494503decac855
+  category: main
+  optional: false
+- name: async-timeout
+  version: 5.0.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/async-timeout-5.0.1-pyhd8ed1ab_1.conda
+  hash:
+    md5: 5d842988b11a8c3ab57fb70840c83d24
+    sha256: 33d12250c870e06c9a313c6663cfbf1c50380b73dfbbb6006688c3134b29b45a
+  category: main
+  optional: false
+- name: attr
+  version: 2.5.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2
+  hash:
+    md5: d9c69a24ad678ffce24c6543a0176b00
+    sha256: 82c13b1772c21fc4a17441734de471d3aabf82b61db9b11f4a1bd04a9c4ac324
+  category: main
+  optional: false
+- name: attrs
+  version: 24.2.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_1.conda
+  hash:
+    md5: 2018839db45c79654b57a924fcdd27d0
+    sha256: 8488a116dffe204015a90b41982c0270534bd1070f44a00b316d59e4a79ae8c7
+  category: main
+  optional: false
+- name: binutils
+  version: '2.43'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils_impl_linux-64: '>=2.43,<2.44.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils-2.43-h4852527_2.conda
+  hash:
+    md5: 348619f90eee04901f4a70615efff35b
+    sha256: 92be0f8ccd501ceeb3c782e2182e6ea04dca46799038176de40a57bca45512c5
+  category: main
+  optional: false
+- name: binutils_impl_linux-64
+  version: '2.43'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    ld_impl_linux-64: '2.43'
+    sysroot_linux-64: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.43-h4bf12b8_2.conda
+  hash:
+    md5: cf0c5521ac2a20dfa6c662a4009eeef6
+    sha256: 267e78990247369b13234bda270f31beb56a600b4851a8244e31dd9ad85b3b17
+  category: main
+  optional: false
+- name: binutils_linux-64
+  version: '2.43'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils_impl_linux-64: '2.43'
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.43-h4852527_2.conda
+  hash:
+    md5: 18aba879ddf1f8f28145ca6fcb873d8c
+    sha256: df52bd8b8b2a20a0c529d9ad08aaf66093ac318aa8a33d270f18274341a77062
+  category: main
+  optional: false
+- name: blosc
+  version: 1.21.6
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.3.1,<2.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    snappy: '>=1.2.0,<1.3.0a0'
+    zstd: '>=1.5.6,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda
+  hash:
+    md5: 54fe76ab3d0189acaef95156874db7f9
+    sha256: 6cc260f9c6d32c5e728a2099a52fdd7ee69a782fff7b400d0606fcd32e0f5fd1
+  category: main
+  optional: false
+- name: brotli
+  version: 1.1.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    brotli-bin: 1.1.0
+    libbrotlidec: 1.1.0
+    libbrotlienc: 1.1.0
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda
+  hash:
+    md5: 98514fe74548d768907ce7a13f680e8f
+    sha256: fcb0b5b28ba7492093e54f3184435144e074dfceab27ac8e6a9457e736565b0b
+  category: main
+  optional: false
+- name: brotli-bin
+  version: 1.1.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libbrotlidec: 1.1.0
+    libbrotlienc: 1.1.0
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda
+  hash:
+    md5: c63b5e52939e795ba8d26e35d767a843
+    sha256: 261364d7445513b9a4debc345650fad13c627029bfc800655a266bf1e375bc65
+  category: main
+  optional: false
+- name: bzip2
+  version: 1.0.8
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
+  hash:
+    md5: 62ee74e96c5ebb0af99386de58cf9553
+    sha256: 5ced96500d945fb286c9c838e54fa759aa04a7129c59800f0846b4335cee770d
+  category: main
+  optional: false
+- name: c-ares
+  version: 1.34.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.3-hb9d3cd8_1.conda
+  hash:
+    md5: ee228789a85f961d14567252a03e725f
+    sha256: 732571ba6286dbccbf4c6450078a581b7a5620204faf876ff0ef282d77a6bfa8
+  category: main
+  optional: false
+- name: c-compiler
+  version: 1.8.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils: ''
+    gcc: ''
+    gcc_linux-64: 13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/c-compiler-1.8.0-h2b85faf_1.conda
+  hash:
+    md5: fa7b3bf2965b9d74a81a0702d9bb49ee
+    sha256: 009fced27be14e5ac750a04111a07eda79d73f80009300c1538cb83d5da71879
+  category: main
+  optional: false
+- name: ca-certificates
+  version: 2024.8.30
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
+  hash:
+    md5: c27d1c142233b5bc9ca570c6e2e0c244
+    sha256: afee721baa6d988e27fef1832f68d6f32ac8cc99cdf6015732224c2841a09cea
+  category: main
+  optional: false
+- name: cairo
+  version: 1.18.2
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    fontconfig: '>=2.15.0,<3.0a0'
+    fonts-conda-ecosystem: ''
+    freetype: '>=2.12.1,<3.0a0'
+    icu: '>=75.1,<76.0a0'
+    libexpat: '>=2.6.4,<3.0a0'
+    libgcc: '>=13'
+    libglib: '>=2.82.2,<3.0a0'
+    libpng: '>=1.6.44,<1.7.0a0'
+    libstdcxx: '>=13'
+    libxcb: '>=1.17.0,<2.0a0'
+    libzlib: '>=1.3.1,<2.0a0'
+    pixman: '>=0.44.2,<1.0a0'
+    xorg-libice: '>=1.1.1,<2.0a0'
+    xorg-libsm: '>=1.2.4,<2.0a0'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+    xorg-libxrender: '>=0.9.11,<0.10.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.2-h3394656_1.conda
+  hash:
+    md5: b34c2833a1f56db610aeb27f206d800d
+    sha256: de7d0d094e53decc005cb13e527be2635b8f604978da497d4c0d282c7dc08385
+  category: main
+  optional: false
+- name: certifi
+  version: 2024.8.30
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+  hash:
+    md5: 12f7d00853807b0531775e9be891cb11
+    sha256: 7020770df338c45ac6b560185956c32f0a5abf4b76179c037f115fc7d687819f
+  category: main
+  optional: false
+- name: compilers
+  version: 1.8.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    c-compiler: 1.8.0
+    cxx-compiler: 1.8.0
+    fortran-compiler: 1.8.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/compilers-1.8.0-ha770c72_1.conda
+  hash:
+    md5: 061e111d02f33a99548f0de07169d9fb
+    sha256: d2fa2f8cb3df79f543758c8e288f1a74a2acca57245f1e03919bffa3e40aad2d
+  category: main
+  optional: false
+- name: contourpy
+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    libstdcxx: '>=13'
+    numpy: '>=1.23'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.1-py310h3788b33_0.conda
+  hash:
+    md5: f993b13665fc2bb262b30217c815d137
+    sha256: 1b18ebb72fb20b9ece47c582c6112b1d4f0f7deebaa056eada99e1f994e8a81f
+  category: main
+  optional: false
+- name: cxx-compiler
+  version: 1.8.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    c-compiler: 1.8.0
+    gxx: ''
+    gxx_linux-64: 13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/cxx-compiler-1.8.0-h1a2810e_1.conda
+  hash:
+    md5: 3bb4907086d7187bf01c8bec397ffa5e
+    sha256: cca0450bbc0d19044107d0f90fa36126a11b007fbfb62bd2a1949b2bb59a21a4
+  category: main
+  optional: false
+- name: cycler
+  version: 0.12.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_1.conda
+  hash:
+    md5: 44600c4667a319d67dbe0681fc0bc833
+    sha256: 9827efa891e507a91a8a2acf64e210d2aff394e1cde432ad08e1f8c66b12293c
+  category: main
+  optional: false
+- name: dav1d
+  version: 1.2.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda
+  hash:
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+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxfixes-6.0.1-hb9d3cd8_0.conda
+  hash:
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+    sha256: 2fef37e660985794617716eb915865ce157004a4d567ed35ec16514960ae9271
+  category: main
+  optional: false
+- name: xorg-libxi
+  version: 1.8.2
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+    xorg-libxfixes: '>=6.0.1,<7.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxi-1.8.2-hb9d3cd8_0.conda
+  hash:
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+  category: main
+  optional: false
+- name: xorg-libxmu
+  version: 1.2.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+    xorg-libxt: '>=1.3.0,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxmu-1.2.1-hb9d3cd8_1.conda
+  hash:
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+    sha256: 467cba5106e628068487dcbc2ba2dbd6a434e75d752eaf0895086e9fe65e6a8d
+  category: main
+  optional: false
+- name: xorg-libxrandr
+  version: 1.5.4
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+    xorg-libxrender: '>=0.9.11,<0.10.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrandr-1.5.4-hb9d3cd8_0.conda
+  hash:
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+    sha256: ac0f037e0791a620a69980914a77cb6bb40308e26db11698029d6708f5aa8e0d
+  category: main
+  optional: false
+- name: xorg-libxrender
+  version: 0.9.11
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hb9d3cd8_2.conda
+  hash:
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+    sha256: a2f533fe2374789413a9dfa1369322573910f4b010fd24386cdd1c5cd977a087
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+  optional: false
+- name: xorg-libxshmfence
+  version: 1.3.2
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxshmfence-1.3.2-hb9d3cd8_3.conda
+  hash:
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+  category: main
+  optional: false
+- name: xorg-libxt
+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libice: '>=1.1.1,<2.0a0'
+    xorg-libsm: '>=1.2.4,<2.0a0'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxt-1.3.1-hb9d3cd8_0.conda
+  hash:
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+  category: main
+  optional: false
+- name: xorg-libxxf86vm
+  version: 1.1.5
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.5-hb9d3cd8_4.conda
+  hash:
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+  category: main
+  optional: false
+- name: xz
+  version: 5.6.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    liblzma: 5.6.3
+    liblzma-devel: 5.6.3
+    xz-gpl-tools: 5.6.3
+    xz-tools: 5.6.3
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-5.6.3-hbcc6ac9_1.conda
+  hash:
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+  category: main
+  optional: false
+- name: xz-gpl-tools
+  version: 5.6.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    liblzma: 5.6.3
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-gpl-tools-5.6.3-hbcc6ac9_1.conda
+  hash:
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+    sha256: 4e104b7c75c2f26a96032a1c6cda51430da1dea318c74f9e3568902b2f5030e1
+  category: main
+  optional: false
+- name: xz-tools
+  version: 5.6.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    liblzma: 5.6.3
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-tools-5.6.3-hb9d3cd8_1.conda
+  hash:
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+    sha256: 6e80f838096345c35e8755b827814c083dd0274594006d6f76bff71bc969c3b8
+  category: main
+  optional: false
+- name: yarl
+  version: 1.18.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    idna: '>=2.0'
+    libgcc: '>=13'
+    multidict: '>=4.0'
+    propcache: '>=0.2.1'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.18.3-py310ha75aee5_0.conda
+  hash:
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+  category: main
+  optional: false
+- name: zlib
+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    libzlib: 1.3.1
+  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda
+  hash:
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+    sha256: 5d7c0e5f0005f74112a34a7425179f4eb6e73c92f5d109e6af4ddeca407c92ab
+  category: main
+  optional: false
+- name: zstd
+  version: 1.5.6
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<2.0.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
+  hash:
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+  optional: false
diff --git a/locks/binary-telemac-p3.11.yml b/locks/binary-telemac-p3.11.yml
new file mode 100644
index 00000000..5f9cdb8c
--- /dev/null
+++ b/locks/binary-telemac-p3.11.yml
@@ -0,0 +1,4351 @@
+# This lock file was generated by conda-lock (https://github.com/conda/conda-lock). DO NOT EDIT!
+#
+# A "lock file" contains a concrete list of package versions (with checksums) to be installed. Unlike
+# e.g. `conda env create`, the resulting environment will not change as new package versions become
+# available, unless you explicitly update the lock file.
+#
+# Install this environment as "YOURENV" with:
+#     conda-lock install -n YOURENV binary-telemac-p3.11.yml
+# To update a single package to the latest version compatible with the version constraints in the source:
+#     conda-lock lock  --lockfile binary-telemac-p3.11.yml --update PACKAGE
+# To re-solve the entire environment, e.g. after changing a version constraint in the source file:
+#     conda-lock -f ../environments/binary-telemac-p3.11.yml --lockfile binary-telemac-p3.11.yml
+version: 1
+metadata:
+  content_hash:
+    linux-64: fccb2eb8813eec13b0dd32c5c9d8b6e3fa9212c658ebc7cc4efe8decc52271ae
+  channels:
+  - url: conda-forge
+    used_env_vars: []
+  platforms:
+  - linux-64
+  sources:
+  - ../environments/binary-telemac-p3.11.yml
+package:
+- name: _libgcc_mutex
+  version: '0.1'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
+  hash:
+    md5: d7c89558ba9fa0495403155b64376d81
+    sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726
+  category: main
+  optional: false
+- name: _openmp_mutex
+  version: '4.5'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    _libgcc_mutex: '0.1'
+    libgomp: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+  hash:
+    md5: 73aaf86a425cc6e73fcf236a5a46396d
+    sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22
+  category: main
+  optional: false
+- name: aiohappyeyeballs
+  version: 2.4.4
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.4.4-pyhd8ed1ab_1.conda
+  hash:
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+    sha256: 95d4713e49ea92ae50cf42393683ede706b7875af5f7cb14c253438180afa732
+  category: main
+  optional: false
+- name: aiohttp
+  version: 3.11.10
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    aiohappyeyeballs: '>=2.3.0'
+    aiosignal: '>=1.1.2'
+    attrs: '>=17.3.0'
+    frozenlist: '>=1.1.1'
+    libgcc: '>=13'
+    multidict: '>=4.5,<7.0'
+    propcache: '>=0.2.0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+    yarl: '>=1.17.0,<2.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.11.10-py311h2dc5d0c_0.conda
+  hash:
+    md5: 7ddc4f7d7120a103af3e06cf7f7e7fb1
+    sha256: 387a234321dd956e6b18aa338aae28a42fa804cb121292b5ab767410a92a5dca
+  category: main
+  optional: false
+- name: aiosignal
+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    frozenlist: '>=1.1.0'
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.1-pyhd8ed1ab_1.conda
+  hash:
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+    sha256: 9c7b639ea0cc796ef46c57fa104ec1f2ed53cd11c063518869a5a9d7d3b0b2db
+  category: main
+  optional: false
+- name: aom
+  version: 3.9.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aom-3.9.1-hac33072_0.conda
+  hash:
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+    sha256: b08ef033817b5f9f76ce62dfcac7694e7b6b4006420372de22494503decac855
+  category: main
+  optional: false
+- name: attr
+  version: 2.5.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2
+  hash:
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+    sha256: 82c13b1772c21fc4a17441734de471d3aabf82b61db9b11f4a1bd04a9c4ac324
+  category: main
+  optional: false
+- name: attrs
+  version: 24.2.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_1.conda
+  hash:
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+    sha256: 8488a116dffe204015a90b41982c0270534bd1070f44a00b316d59e4a79ae8c7
+  category: main
+  optional: false
+- name: binutils
+  version: '2.43'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils_impl_linux-64: '>=2.43,<2.44.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils-2.43-h4852527_2.conda
+  hash:
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+    sha256: 92be0f8ccd501ceeb3c782e2182e6ea04dca46799038176de40a57bca45512c5
+  category: main
+  optional: false
+- name: binutils_impl_linux-64
+  version: '2.43'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    ld_impl_linux-64: '2.43'
+    sysroot_linux-64: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.43-h4bf12b8_2.conda
+  hash:
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+  category: main
+  optional: false
+- name: binutils_linux-64
+  version: '2.43'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils_impl_linux-64: '2.43'
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.43-h4852527_2.conda
+  hash:
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+  platform: linux-64
+  dependencies:
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+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.3.1,<2.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    snappy: '>=1.2.0,<1.3.0a0'
+    zstd: '>=1.5.6,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda
+  hash:
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+  optional: false
+- name: brotli
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    brotli-bin: 1.1.0
+    libbrotlidec: 1.1.0
+    libbrotlienc: 1.1.0
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda
+  hash:
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+  manager: conda
+  platform: linux-64
+  dependencies:
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+    libbrotlidec: 1.1.0
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+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda
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+- name: bzip2
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
+  hash:
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+  category: main
+  optional: false
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+  version: 1.34.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.3-hb9d3cd8_1.conda
+  hash:
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+  category: main
+  optional: false
+- name: c-compiler
+  version: 1.8.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils: ''
+    gcc: ''
+    gcc_linux-64: 13.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/c-compiler-1.8.0-h2b85faf_1.conda
+  hash:
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+  category: main
+  optional: false
+- name: ca-certificates
+  version: 2024.8.30
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
+  hash:
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+- name: xorg-libxdmcp
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb9d3cd8_0.conda
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+    libgcc: '>=13'
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+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.6-hb9d3cd8_0.conda
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+  category: main
+  optional: false
+- name: xorg-libxfixes
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxfixes-6.0.1-hb9d3cd8_0.conda
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+    sha256: 2fef37e660985794617716eb915865ce157004a4d567ed35ec16514960ae9271
+  category: main
+  optional: false
+- name: xorg-libxi
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+    xorg-libxfixes: '>=6.0.1,<7.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxi-1.8.2-hb9d3cd8_0.conda
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+  category: main
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+- name: xorg-libxmu
+  version: 1.2.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+    xorg-libxt: '>=1.3.0,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxmu-1.2.1-hb9d3cd8_1.conda
+  hash:
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+  category: main
+  optional: false
+- name: xorg-libxrandr
+  version: 1.5.4
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+    xorg-libxrender: '>=0.9.11,<0.10.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrandr-1.5.4-hb9d3cd8_0.conda
+  hash:
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+  category: main
+  optional: false
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+  version: 0.9.11
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hb9d3cd8_2.conda
+  hash:
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+  optional: false
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+  version: 1.3.2
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxshmfence-1.3.2-hb9d3cd8_3.conda
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libice: '>=1.1.1,<2.0a0'
+    xorg-libsm: '>=1.2.4,<2.0a0'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxt-1.3.1-hb9d3cd8_0.conda
+  hash:
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+  optional: false
+- name: xorg-libxxf86vm
+  version: 1.1.5
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.5-hb9d3cd8_4.conda
+  hash:
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+  optional: false
+- name: xz
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    liblzma: 5.6.3
+    liblzma-devel: 5.6.3
+    xz-gpl-tools: 5.6.3
+    xz-tools: 5.6.3
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-5.6.3-hbcc6ac9_1.conda
+  hash:
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+  optional: false
+- name: xz-gpl-tools
+  version: 5.6.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    liblzma: 5.6.3
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-gpl-tools-5.6.3-hbcc6ac9_1.conda
+  hash:
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+  optional: false
+- name: xz-tools
+  version: 5.6.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    liblzma: 5.6.3
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-tools-5.6.3-hb9d3cd8_1.conda
+  hash:
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+  category: main
+  optional: false
+- name: yarl
+  version: 1.18.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    idna: '>=2.0'
+    libgcc: '>=13'
+    multidict: '>=4.0'
+    propcache: '>=0.2.1'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.18.3-py311h9ecbd09_0.conda
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+  category: main
+  optional: false
+- name: zlib
+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
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+    libgcc: '>=13'
+    libzlib: 1.3.1
+  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda
+  hash:
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+    sha256: 5d7c0e5f0005f74112a34a7425179f4eb6e73c92f5d109e6af4ddeca407c92ab
+  category: main
+  optional: false
+- name: zstd
+  version: 1.5.6
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<2.0.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
+  hash:
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+  optional: false
diff --git a/locks/binary-telemac-p3.12.yml b/locks/binary-telemac-p3.12.yml
new file mode 100644
index 00000000..9f6ac527
--- /dev/null
+++ b/locks/binary-telemac-p3.12.yml
@@ -0,0 +1,4349 @@
+# This lock file was generated by conda-lock (https://github.com/conda/conda-lock). DO NOT EDIT!
+#
+# A "lock file" contains a concrete list of package versions (with checksums) to be installed. Unlike
+# e.g. `conda env create`, the resulting environment will not change as new package versions become
+# available, unless you explicitly update the lock file.
+#
+# Install this environment as "YOURENV" with:
+#     conda-lock install -n YOURENV binary-telemac-p3.12.yml
+# To update a single package to the latest version compatible with the version constraints in the source:
+#     conda-lock lock  --lockfile binary-telemac-p3.12.yml --update PACKAGE
+# To re-solve the entire environment, e.g. after changing a version constraint in the source file:
+#     conda-lock -f ../environments/binary-telemac-p3.12.yml --lockfile binary-telemac-p3.12.yml
+version: 1
+metadata:
+  content_hash:
+    linux-64: c04ce78fbf9b16af6b089b4bc31ca5111c9ec0731cd7b6376298fc880ff9883d
+  channels:
+  - url: conda-forge
+    used_env_vars: []
+  platforms:
+  - linux-64
+  sources:
+  - ../environments/binary-telemac-p3.12.yml
+package:
+- name: _libgcc_mutex
+  version: '0.1'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
+  hash:
+    md5: d7c89558ba9fa0495403155b64376d81
+    sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726
+  category: main
+  optional: false
+- name: _openmp_mutex
+  version: '4.5'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    _libgcc_mutex: '0.1'
+    libgomp: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+  hash:
+    md5: 73aaf86a425cc6e73fcf236a5a46396d
+    sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22
+  category: main
+  optional: false
+- name: aiohappyeyeballs
+  version: 2.4.4
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.4.4-pyhd8ed1ab_1.conda
+  hash:
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+    sha256: 95d4713e49ea92ae50cf42393683ede706b7875af5f7cb14c253438180afa732
+  category: main
+  optional: false
+- name: aiohttp
+  version: 3.11.10
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    aiohappyeyeballs: '>=2.3.0'
+    aiosignal: '>=1.1.2'
+    attrs: '>=17.3.0'
+    frozenlist: '>=1.1.1'
+    libgcc: '>=13'
+    multidict: '>=4.5,<7.0'
+    propcache: '>=0.2.0'
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+    yarl: '>=1.17.0,<2.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.11.10-py312h178313f_0.conda
+  hash:
+    md5: 3e92784b8e32ab7d0b95ee296ba79a99
+    sha256: dc8ebdd99e9d7a07454a7063a295cdc7a86264648647fec10b2ceae97478e200
+  category: main
+  optional: false
+- name: aiosignal
+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    frozenlist: '>=1.1.0'
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.1-pyhd8ed1ab_1.conda
+  hash:
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+    sha256: 9c7b639ea0cc796ef46c57fa104ec1f2ed53cd11c063518869a5a9d7d3b0b2db
+  category: main
+  optional: false
+- name: aom
+  version: 3.9.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aom-3.9.1-hac33072_0.conda
+  hash:
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+    sha256: b08ef033817b5f9f76ce62dfcac7694e7b6b4006420372de22494503decac855
+  category: main
+  optional: false
+- name: attr
+  version: 2.5.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2
+  hash:
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+    sha256: 82c13b1772c21fc4a17441734de471d3aabf82b61db9b11f4a1bd04a9c4ac324
+  category: main
+  optional: false
+- name: attrs
+  version: 24.2.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_1.conda
+  hash:
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+    sha256: 8488a116dffe204015a90b41982c0270534bd1070f44a00b316d59e4a79ae8c7
+  category: main
+  optional: false
+- name: binutils
+  version: '2.43'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils_impl_linux-64: '>=2.43,<2.44.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils-2.43-h4852527_2.conda
+  hash:
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+    sha256: 92be0f8ccd501ceeb3c782e2182e6ea04dca46799038176de40a57bca45512c5
+  category: main
+  optional: false
+- name: binutils_impl_linux-64
+  version: '2.43'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    ld_impl_linux-64: '2.43'
+    sysroot_linux-64: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.43-h4bf12b8_2.conda
+  hash:
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+  category: main
+  optional: false
+- name: binutils_linux-64
+  version: '2.43'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils_impl_linux-64: '2.43'
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.43-h4852527_2.conda
+  hash:
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+  platform: linux-64
+  dependencies:
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+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.3.1,<2.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    snappy: '>=1.2.0,<1.3.0a0'
+    zstd: '>=1.5.6,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda
+  hash:
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+    xorg-libxext: '>=1.3.6,<2.0a0'
+    xorg-libxfixes: '>=6.0.1,<7.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdamage-1.1.6-hb9d3cd8_0.conda
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+  optional: false
+- name: xorg-libxdmcp
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb9d3cd8_0.conda
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+  optional: false
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+  dependencies:
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+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.6-hb9d3cd8_0.conda
+  hash:
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+    sha256: da5dc921c017c05f38a38bd75245017463104457b63a1ce633ed41f214159c14
+  category: main
+  optional: false
+- name: xorg-libxfixes
+  version: 6.0.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxfixes-6.0.1-hb9d3cd8_0.conda
+  hash:
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+    sha256: 2fef37e660985794617716eb915865ce157004a4d567ed35ec16514960ae9271
+  category: main
+  optional: false
+- name: xorg-libxi
+  version: 1.8.2
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+    xorg-libxfixes: '>=6.0.1,<7.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxi-1.8.2-hb9d3cd8_0.conda
+  hash:
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+  optional: false
+- name: xorg-libxmu
+  version: 1.2.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+    xorg-libxt: '>=1.3.0,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxmu-1.2.1-hb9d3cd8_1.conda
+  hash:
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+  category: main
+  optional: false
+- name: xorg-libxrandr
+  version: 1.5.4
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+    xorg-libxrender: '>=0.9.11,<0.10.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrandr-1.5.4-hb9d3cd8_0.conda
+  hash:
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+  optional: false
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+  version: 0.9.11
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hb9d3cd8_2.conda
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+  optional: false
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+  version: 1.3.2
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxshmfence-1.3.2-hb9d3cd8_3.conda
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+  optional: false
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+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libice: '>=1.1.1,<2.0a0'
+    xorg-libsm: '>=1.2.4,<2.0a0'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxt-1.3.1-hb9d3cd8_0.conda
+  hash:
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+  category: main
+  optional: false
+- name: xorg-libxxf86vm
+  version: 1.1.5
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    xorg-libx11: '>=1.8.10,<2.0a0'
+    xorg-libxext: '>=1.3.6,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.5-hb9d3cd8_4.conda
+  hash:
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+  category: main
+  optional: false
+- name: xz
+  version: 5.6.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    liblzma: 5.6.3
+    liblzma-devel: 5.6.3
+    xz-gpl-tools: 5.6.3
+    xz-tools: 5.6.3
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-5.6.3-hbcc6ac9_1.conda
+  hash:
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+  category: main
+  optional: false
+- name: xz-gpl-tools
+  version: 5.6.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    liblzma: 5.6.3
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-gpl-tools-5.6.3-hbcc6ac9_1.conda
+  hash:
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+    sha256: 4e104b7c75c2f26a96032a1c6cda51430da1dea318c74f9e3568902b2f5030e1
+  category: main
+  optional: false
+- name: xz-tools
+  version: 5.6.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    liblzma: 5.6.3
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-tools-5.6.3-hb9d3cd8_1.conda
+  hash:
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+    sha256: 6e80f838096345c35e8755b827814c083dd0274594006d6f76bff71bc969c3b8
+  category: main
+  optional: false
+- name: yarl
+  version: 1.18.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    idna: '>=2.0'
+    libgcc: '>=13'
+    multidict: '>=4.0'
+    propcache: '>=0.2.1'
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.18.3-py312h66e93f0_0.conda
+  hash:
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+  category: main
+  optional: false
+- name: zlib
+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    libzlib: 1.3.1
+  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda
+  hash:
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+    sha256: 5d7c0e5f0005f74112a34a7425179f4eb6e73c92f5d109e6af4ddeca407c92ab
+  category: main
+  optional: false
+- name: zstd
+  version: 1.5.6
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<2.0.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
+  hash:
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+    sha256: c558b9cc01d9c1444031bd1ce4b9cff86f9085765f17627a6cd85fc623c8a02b
+  category: main
+  optional: false
diff --git a/locks/binary-telemac-p3.9.yml b/locks/binary-telemac-p3.9.yml
new file mode 100644
index 00000000..802ca45a
--- /dev/null
+++ b/locks/binary-telemac-p3.9.yml
@@ -0,0 +1,4426 @@
+# This lock file was generated by conda-lock (https://github.com/conda/conda-lock). DO NOT EDIT!
+#
+# A "lock file" contains a concrete list of package versions (with checksums) to be installed. Unlike
+# e.g. `conda env create`, the resulting environment will not change as new package versions become
+# available, unless you explicitly update the lock file.
+#
+# Install this environment as "YOURENV" with:
+#     conda-lock install -n YOURENV binary-telemac-p3.9.yml
+# To update a single package to the latest version compatible with the version constraints in the source:
+#     conda-lock lock  --lockfile binary-telemac-p3.9.yml --update PACKAGE
+# To re-solve the entire environment, e.g. after changing a version constraint in the source file:
+#     conda-lock -f ../environments/binary-telemac-p3.9.yml --lockfile binary-telemac-p3.9.yml
+version: 1
+metadata:
+  content_hash:
+    linux-64: 9efd336917558c7bc0207f1ea1a31b22091ffc00238b6b6b9c3dd8345a174b3e
+  channels:
+  - url: conda-forge
+    used_env_vars: []
+  platforms:
+  - linux-64
+  sources:
+  - ../environments/binary-telemac-p3.9.yml
+package:
+- name: _libgcc_mutex
+  version: '0.1'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
+  hash:
+    md5: d7c89558ba9fa0495403155b64376d81
+    sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726
+  category: main
+  optional: false
+- name: _openmp_mutex
+  version: '4.5'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    _libgcc_mutex: '0.1'
+    libgomp: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+  hash:
+    md5: 73aaf86a425cc6e73fcf236a5a46396d
+    sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22
+  category: main
+  optional: false
+- name: aiohappyeyeballs
+  version: 2.4.4
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.4.4-pyhd8ed1ab_1.conda
+  hash:
+    md5: 296b403617bafa89df4971567af79013
+    sha256: 95d4713e49ea92ae50cf42393683ede706b7875af5f7cb14c253438180afa732
+  category: main
+  optional: false
+- name: aiohttp
+  version: 3.11.10
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    aiohappyeyeballs: '>=2.3.0'
+    aiosignal: '>=1.1.2'
+    async-timeout: '>=4.0,<6.0'
+    attrs: '>=17.3.0'
+    frozenlist: '>=1.1.1'
+    libgcc: '>=13'
+    multidict: '>=4.5,<7.0'
+    propcache: '>=0.2.0'
+    python: '>=3.9,<3.10.0a0'
+    python_abi: 3.9.*
+    yarl: '>=1.17.0,<2.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.11.10-py39h9399b63_0.conda
+  hash:
+    md5: 407d6005c08f2a81166cc5ea5e49cf06
+    sha256: 139355947c3cf58b70510629d044f39572a0ab8cd0051bfda1d7986afa0276ff
+  category: main
+  optional: false
+- name: aiosignal
+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    frozenlist: '>=1.1.0'
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.1-pyhd8ed1ab_1.conda
+  hash:
+    md5: d736bd1b8904d7593dce4893e58a7881
+    sha256: 9c7b639ea0cc796ef46c57fa104ec1f2ed53cd11c063518869a5a9d7d3b0b2db
+  category: main
+  optional: false
+- name: aom
+  version: 3.9.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aom-3.9.1-hac33072_0.conda
+  hash:
+    md5: 346722a0be40f6edc53f12640d301338
+    sha256: b08ef033817b5f9f76ce62dfcac7694e7b6b4006420372de22494503decac855
+  category: main
+  optional: false
+- name: async-timeout
+  version: 5.0.1
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+  hash:
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+    sha256: 567c04f124525c97a096b65769834b7acb047db24b15a56888a322bf3966c3e1
+  category: main
+  optional: false
+- name: zlib
+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    libzlib: 1.3.1
+  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda
+  hash:
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+    sha256: 5d7c0e5f0005f74112a34a7425179f4eb6e73c92f5d109e6af4ddeca407c92ab
+  category: main
+  optional: false
+- name: zstd
+  version: 1.5.6
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<2.0.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
+  hash:
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+    sha256: c558b9cc01d9c1444031bd1ce4b9cff86f9085765f17627a6cd85fc623c8a02b
+  category: main
+  optional: false
diff --git a/locks/conda-ubuntu-latest-binary-telemac-p3.10.lock b/locks/conda-ubuntu-latest-binary-telemac-p3.10.lock
new file mode 100644
index 00000000..87d3f5c0
--- /dev/null
+++ b/locks/conda-ubuntu-latest-binary-telemac-p3.10.lock
@@ -0,0 +1,289 @@
+# Generated by conda-lock.
+# platform: linux-64
+# input_hash: 9a86cab9aa3deced840289609bf8c2e2d666199ad1365a66d2abd468c9fb681d
+@EXPLICIT
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diff --git a/locks/conda-ubuntu-latest-binary-telemac-p3.11.lock b/locks/conda-ubuntu-latest-binary-telemac-p3.11.lock
new file mode 100644
index 00000000..acee32da
--- /dev/null
+++ b/locks/conda-ubuntu-latest-binary-telemac-p3.11.lock
@@ -0,0 +1,286 @@
+# Generated by conda-lock.
+# platform: linux-64
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diff --git a/locks/conda-ubuntu-latest-binary-telemac-p3.12.lock b/locks/conda-ubuntu-latest-binary-telemac-p3.12.lock
new file mode 100644
index 00000000..16d20afc
--- /dev/null
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diff --git a/locks/conda-ubuntu-latest-binary-telemac-p3.9.lock b/locks/conda-ubuntu-latest-binary-telemac-p3.9.lock
new file mode 100644
index 00000000..c1dc555d
--- /dev/null
+++ b/locks/conda-ubuntu-latest-binary-telemac-p3.9.lock
@@ -0,0 +1,292 @@
+# Generated by conda-lock.
+# platform: linux-64
+# input_hash: 9efd336917558c7bc0207f1ea1a31b22091ffc00238b6b6b9c3dd8345a174b3e
+@EXPLICIT
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+https://conda.anaconda.org/conda-forge/linux-64/libopenvino-auto-plugin-2024.4.0-h4d9b6c2_2.conda#838b2db868f9ab69a7bad9c065a3362d
+https://conda.anaconda.org/conda-forge/linux-64/libopenvino-hetero-plugin-2024.4.0-h3f63f65_2.conda#00a6127960a3f41d4bfcabd35d5fbeec
+https://conda.anaconda.org/conda-forge/linux-64/libopenvino-intel-cpu-plugin-2024.4.0-hac27bb2_2.conda#6cfc840bc39c17d92fb25e5a35789e5b
+https://conda.anaconda.org/conda-forge/linux-64/libopenvino-intel-gpu-plugin-2024.4.0-hac27bb2_2.conda#9e9814b40d8fdfd8485451e3fa2f1719
+https://conda.anaconda.org/conda-forge/linux-64/libopenvino-intel-npu-plugin-2024.4.0-hac27bb2_2.conda#724719ce97feb6f310f88ae8dbb40afd
+https://conda.anaconda.org/conda-forge/linux-64/libopenvino-ir-frontend-2024.4.0-h3f63f65_2.conda#8908f31eab30f65636eb61ab9cb1f3ad
+https://conda.anaconda.org/conda-forge/linux-64/libopenvino-onnx-frontend-2024.4.0-h5c8f2c3_2.conda#e098caa87868e8dcc7ed5d011981207d
+https://conda.anaconda.org/conda-forge/linux-64/libopenvino-paddle-frontend-2024.4.0-h5c8f2c3_2.conda#59bb8c3502cb9d35f1fb26691730288c
+https://conda.anaconda.org/conda-forge/linux-64/libopenvino-pytorch-frontend-2024.4.0-h5888daf_2.conda#e0b88fd64dc95f715ef52e607a9af89b
+https://conda.anaconda.org/conda-forge/linux-64/libopenvino-tensorflow-frontend-2024.4.0-h6481b9d_2.conda#12bf831b85f17368bc71a26ac93a8493
+https://conda.anaconda.org/conda-forge/linux-64/libopenvino-tensorflow-lite-frontend-2024.4.0-h5888daf_2.conda#d48c774c40ea2047adbff043e9076e7a
+https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-hc0ffecb_0.conda#83f045969988f5c7a65f3950b95a8b35
+https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.3-py39h16632d1_0.conda#93aa7d8c91f38dd494134f009cd0860c
+https://conda.anaconda.org/conda-forge/linux-64/openmpi-5.0.6-hd45feaf_100.conda#af50a9c9ef08e8eb35e3be0a7d6ac884
+https://conda.anaconda.org/conda-forge/linux-64/yarl-1.18.3-py39h8cd3c5a_0.conda#b3dedbdf10aa0c2f7f33894b0b195421
+https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.11.10-py39h9399b63_0.conda#407d6005c08f2a81166cc5ea5e49cf06
+https://conda.anaconda.org/conda-forge/linux-64/elfutils-0.192-h7f4e02f_1.conda#369ce48a589a2aac91906c9ed89dd6e8
+https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-7.1.0-gpl_heed6883_705.conda#77806f0330381aed7f104a1b67af7cea
+https://conda.anaconda.org/conda-forge/linux-64/gdal-3.10.0-py39he7fce3f_6.conda#f3fd69e389bbc4a9da4d48c8f82ea72f
+https://conda.anaconda.org/conda-forge/linux-64/mpi4py-4.0.1-py39h86f8d4e_0.conda#c7374dc1175bd9f66cf304b20a12bcd7
+https://conda.anaconda.org/conda-forge/linux-64/mesalib-24.3.1-h0b126fc_0.conda#12d32a61fb1163e4584731956592cf79
+https://conda.anaconda.org/conda-forge/linux-64/opentelemac-v9.0.0-py39h1a44d1d_0.conda#d1bf4f810facfba457af5bf86c26aef9
+https://conda.anaconda.org/conda-forge/noarch/wslink-2.2.1-pyhd8ed1ab_1.conda#af249fc92d1344913ff6c811f5b9096b
+https://conda.anaconda.org/conda-forge/linux-64/vtk-base-9.3.1-osmesa_py39h39dfad7_109.conda#f304c08f5ed303f35c171fb134ef0425
+https://conda.anaconda.org/conda-forge/linux-64/vtk-io-ffmpeg-9.3.1-osmesa_py39hd1cd433_109.conda#eb1f5967bb282edc91149dbd93e9ae07
+https://conda.anaconda.org/conda-forge/linux-64/vtk-9.3.1-osmesa_py39h838d114_109.conda#2ad73c2ea8e78e9a7d3f7b8039993911
+https://conda.anaconda.org/conda-forge/linux-64/occt-7.8.1-all_h4c4714a_203.conda#43aed13aae8e2d25f232e98cb636e139
+https://conda.anaconda.org/conda-forge/linux-64/gmsh-4.13.1-hccb25f3_1.conda#2b0a79df0047cd897b4cb10e49697637
diff --git a/locks/delft3d_mpich.yml b/locks/delft3d_mpich.yml
index e4a9338e..9d8dd80a 100644
--- a/locks/delft3d_mpich.yml
+++ b/locks/delft3d_mpich.yml
@@ -356,28 +356,28 @@ package:
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.2-h59595ed_1.conda
   hash:
-    md5: 5e97e271911b8b2001a8b71860c32faa
-    sha256: 2ef420a655528bca9d269086cf33b7e90d2f54ad941b437fb1ed5eca87cee017
+    md5: 127b0be54c1c90760d7fe02ea7a56426
+    sha256: fdde15e74dc099ab1083823ec0f615958e53d9a8fae10405af977de251668bea
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: osx-64
   dependencies:
-    libcxx: '>=16'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.3-h73e2aa4_0.conda
+    libcxx: '>=15.0.7'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.2-he965462_1.conda
   hash:
-    md5: 66d3c1f6dd4636216b4fca7a748d50eb
-    sha256: dae5921339c5d89f4bf58a95fd4e9c76270dbf7f6a94f3c5081b574905fcccf8
+    md5: faa179050abc6af1385e0fe9dd074f91
+    sha256: 1b0a0b9b67e8f155ebdc7205a7421c7aff4850a740fc9f88b3fa23282c98ed72
   category: main
   optional: false
 - name: libcurl
diff --git a/locks/delft3d_openmpi.yml b/locks/delft3d_openmpi.yml
index c2b28314..6082a262 100644
--- a/locks/delft3d_openmpi.yml
+++ b/locks/delft3d_openmpi.yml
@@ -356,28 +356,28 @@ package:
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.2-h59595ed_1.conda
   hash:
-    md5: 5e97e271911b8b2001a8b71860c32faa
-    sha256: 2ef420a655528bca9d269086cf33b7e90d2f54ad941b437fb1ed5eca87cee017
+    md5: 127b0be54c1c90760d7fe02ea7a56426
+    sha256: fdde15e74dc099ab1083823ec0f615958e53d9a8fae10405af977de251668bea
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: osx-64
   dependencies:
-    libcxx: '>=16'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.3-h73e2aa4_0.conda
+    libcxx: '>=15.0.7'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.2-he965462_1.conda
   hash:
-    md5: 66d3c1f6dd4636216b4fca7a748d50eb
-    sha256: dae5921339c5d89f4bf58a95fd4e9c76270dbf7f6a94f3c5081b574905fcccf8
+    md5: faa179050abc6af1385e0fe9dd074f91
+    sha256: 1b0a0b9b67e8f155ebdc7205a7421c7aff4850a740fc9f88b3fa23282c98ed72
   category: main
   optional: false
 - name: libcurl
diff --git a/locks/requirements-ci-telemac.txt b/locks/requirements-ci-telemac.txt
new file mode 100644
index 00000000..6d204919
--- /dev/null
+++ b/locks/requirements-ci-telemac.txt
@@ -0,0 +1,119 @@
+affine==2.4.0 ; python_version >= "3.9" and python_version < "4"
+annotated-types==0.7.0 ; python_version >= "3.9" and python_version < "4.0"
+anyio==4.4.0 ; python_version >= "3.9" and python_version < "4.0"
+asciitree==0.3.3 ; python_version >= "3.9" and python_version < "4"
+attrs==24.2.0 ; python_version >= "3.9" and python_version < "4"
+beautifulsoup4==4.12.3 ; python_version >= "3.9" and python_version < "4"
+black==24.8.0 ; python_version >= "3.9" and python_version < "4"
+bottleneck==1.4.0 ; python_version >= "3.9" and python_version < "4"
+bump2version==1.0.1 ; python_version >= "3.9" and python_version < "4"
+cartopy==0.23.0 ; python_version >= "3.9" and python_version < "4"
+catalogue==2.0.10 ; python_version >= "3.9" and python_version < "4"
+certifi==2024.7.4 ; python_version >= "3.9" and python_version < "4"
+cffi==1.17.0 ; python_version >= "3.9" and python_version < "4"
+cfgrib==0.9.14.0 ; python_version >= "3.9" and python_version < "4"
+cftime==1.6.4 ; python_version >= "3.9" and python_version < "4"
+charset-normalizer==3.3.2 ; python_version >= "3.9" and python_version < "4"
+click-plugins==1.1.1 ; python_version >= "3.9" and python_version < "4"
+click==8.1.7 ; python_version >= "3.9" and python_version < "4"
+cligj==0.7.2 ; python_version >= "3.9" and python_version < "4"
+cloudpickle==3.0.0 ; python_version >= "3.9" and python_version < "4"
+colorama==0.4.6 ; python_version >= "3.9" and python_version < "4" and (sys_platform == "win32" or platform_system == "Windows")
+colorlog==6.8.2 ; python_version >= "3.9" and python_version < "4"
+configobj==5.0.8 ; python_version >= "3.9" and python_version < "4"
+contourpy==1.2.1 ; python_version >= "3.9" and python_version < "4"
+coverage[toml]==7.6.1 ; python_version >= "3.9" and python_version < "4"
+cycler==0.12.1 ; python_version >= "3.9" and python_version < "4"
+dask==2024.8.0 ; python_version >= "3.9" and python_version < "4"
+dataretrieval==1.0.10 ; python_version >= "3.9" and python_version < "4.0"
+deprecated==1.2.14 ; python_version >= "3.9" and python_version < "4.0"
+docopt-ng==0.9.0 ; python_version >= "3.9" and python_version < "4"
+donfig==0.8.1.post1 ; python_version >= "3.9" and python_version < "4"
+eccodes==1.7.1 ; python_version >= "3.9" and python_version < "4"
+erddapy==2.2.0 ; python_version >= "3.9" and python_version < "4.0"
+exceptiongroup==1.2.2 ; python_version >= "3.9" and python_version < "3.11"
+execnet==2.1.1 ; python_version >= "3.9" and python_version < "4"
+f90nml==1.4.4 ; python_version >= "3.9" and python_version < "4"
+fasteners==0.19 ; python_version >= "3.9" and python_version < "4" and sys_platform != "emscripten"
+findlibs==0.0.5 ; python_version >= "3.9" and python_version < "4"
+fonttools==4.53.1 ; python_version >= "3.9" and python_version < "4"
+fsspec==2024.6.1 ; python_version >= "3.9" and python_version < "4"
+geopandas==1.0.1 ; python_version >= "3.9" and python_version < "4"
+gmsh==4.13.1 ; python_version >= "3.9" and python_version < "4"
+h11==0.14.0 ; python_version >= "3.9" and python_version < "4.0"
+html5lib==1.1 ; python_version >= "3.9" and python_version < "4.0"
+httpcore==1.0.5 ; python_version >= "3.9" and python_version < "4.0"
+httpx==0.27.0 ; python_version >= "3.9" and python_version < "4.0"
+idna==3.7 ; python_version >= "3.9" and python_version < "4"
+importlib-metadata==8.4.0 ; python_version >= "3.9" and python_version < "4"
+importlib-resources==6.4.4 ; python_version >= "3.9" and python_version < "4"
+iniconfig==2.0.0 ; python_version >= "3.9" and python_version < "4"
+jinja2==3.1.4 ; python_version >= "3.9" and python_version < "4"
+joblib==1.4.2 ; python_version >= "3.9" and python_version < "4"
+kiwisolver==1.4.5 ; python_version >= "3.9" and python_version < "4"
+limits==3.13.0 ; python_version >= "3.9" and python_version < "4.0"
+llvmlite==0.43.0 ; python_version >= "3.9" and python_version < "4"
+locket==1.0.0 ; python_version >= "3.9" and python_version < "4"
+lxml-html-clean==0.2.0 ; python_version >= "3.9" and python_version < "4.0"
+lxml==5.3.0 ; python_version >= "3.9" and python_version < "4"
+lxml[html-clean]==5.3.0 ; python_version >= "3.9" and python_version < "4.0"
+markupsafe==2.1.5 ; python_version >= "3.9" and python_version < "4"
+matplotlib==3.9.2 ; python_version >= "3.9" and python_version < "4"
+mpi4py==3.1.5 ; python_version >= "3.9" and python_version < "4"
+mypy-extensions==1.0.0 ; python_version >= "3.9" and python_version < "4"
+netcdf4==1.7.1.post2 ; python_version >= "3.9" and python_version < "4"
+numcodecs==0.12.1 ; python_version >= "3.9" and python_version < "4"
+numpy==2.0.1 ; python_version >= "3.9" and python_version < "4"
+packaging==24.1 ; python_version >= "3.9" and python_version < "4"
+pandas==2.2.2 ; python_version >= "3.9" and python_version < "4"
+partd==1.4.2 ; python_version >= "3.9" and python_version < "4"
+pathspec==0.12.1 ; python_version >= "3.9" and python_version < "4"
+pillow==10.4.0 ; python_version >= "3.9" and python_version < "4"
+platformdirs==4.2.2 ; python_version >= "3.9" and python_version < "4"
+pluggy==1.5.0 ; python_version >= "3.9" and python_version < "4"
+psutil==6.0.0 ; python_version >= "3.9" and python_version < "4"
+pyarrow==17.0.0 ; python_version >= "3.9" and python_version < "4"
+pycparser==2.22 ; python_version >= "3.9" and python_version < "4"
+pydantic-core==2.20.1 ; python_version >= "3.9" and python_version < "4.0"
+pydantic==2.8.2 ; python_version >= "3.9" and python_version < "4.0"
+pydap==3.5 ; python_version >= "3.9" and python_version < "4"
+pykdtree==1.3.12 ; python_version >= "3.9" and python_version < "4"
+pymap3d==3.1.0 ; python_version >= "3.9" and python_version < "4"
+pyogrio==0.9.0 ; python_version >= "3.9" and python_version < "4"
+pyparsing==3.1.2 ; python_version >= "3.9" and python_version < "4"
+pyproj==3.6.1 ; python_version >= "3.9" and python_version < "4"
+pyresample==1.29.0 ; python_version >= "3.9" and python_version < "4"
+pyshp==2.3.1 ; python_version >= "3.9" and python_version < "4"
+pytest-cov==5.0.0 ; python_version >= "3.9" and python_version < "4"
+pytest-xdist==3.6.1 ; python_version >= "3.9" and python_version < "4"
+pytest==8.3.2 ; python_version >= "3.9" and python_version < "4"
+python-dateutil==2.9.0.post0 ; python_version >= "3.9" and python_version < "4"
+pytz==2024.1 ; python_version >= "3.9" and python_version < "4"
+pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "4"
+rasterio==1.3.10 ; python_version >= "3.9" and python_version < "4"
+requests==2.32.3 ; python_version >= "3.9" and python_version < "4"
+rioxarray==0.15.0 ; python_version >= "3.9" and python_version < "4"
+scikit-learn==1.5.1 ; python_version >= "3.9" and python_version < "4"
+scipy==1.13.1 ; python_version >= "3.9" and python_version < "4"
+searvey==0.3.13 ; python_version >= "3.9" and python_version < "4.0"
+setuptools==73.0.1 ; python_version >= "3.9" and python_version < "4"
+shapely==2.0.6 ; python_version >= "3.9" and python_version < "4"
+six==1.16.0 ; python_version >= "3.9" and python_version < "4"
+sniffio==1.3.1 ; python_version >= "3.9" and python_version < "4.0"
+snuggs==1.4.7 ; python_version >= "3.9" and python_version < "4"
+soupsieve==2.6 ; python_version >= "3.9" and python_version < "4"
+srsly==2.4.8 ; python_version >= "3.9" and python_version < "4"
+threadpoolctl==3.5.0 ; python_version >= "3.9" and python_version < "4"
+tomli==2.0.1 ; python_version >= "3.9" and python_full_version <= "3.11.0a6"
+toolz==0.12.1 ; python_version >= "3.9" and python_version < "4"
+tqdm==4.66.5 ; python_version >= "3.9" and python_version < "4"
+typing-extensions==4.12.2 ; python_version >= "3.9" and python_version < "4.0"
+tzdata==2024.1 ; python_version >= "3.9" and python_version < "4"
+urllib3==2.2.2 ; python_version >= "3.9" and python_version < "4"
+webencodings==0.5.1 ; python_version >= "3.9" and python_version < "4.0"
+webob==1.8.8 ; python_version >= "3.9" and python_version < "4"
+wrapt==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
+xarray-selafin==0.1.4 ; python_version >= "3.9" and python_version < "4"
+xarray==2024.7.0 ; python_version >= "3.9" and python_version < "4"
+zarr==2.18.2 ; python_version >= "3.9" and python_version < "4"
+zipp==3.20.0 ; python_version >= "3.9" and python_version < "4"
diff --git a/locks/schism_mpich.yml b/locks/schism_mpich.yml
index 6fe0f680..2899ec2f 100644
--- a/locks/schism_mpich.yml
+++ b/locks/schism_mpich.yml
@@ -307,28 +307,28 @@ package:
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.2-h59595ed_1.conda
   hash:
-    md5: 5e97e271911b8b2001a8b71860c32faa
-    sha256: 2ef420a655528bca9d269086cf33b7e90d2f54ad941b437fb1ed5eca87cee017
+    md5: 127b0be54c1c90760d7fe02ea7a56426
+    sha256: fdde15e74dc099ab1083823ec0f615958e53d9a8fae10405af977de251668bea
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: osx-64
   dependencies:
-    libcxx: '>=16'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.3-h73e2aa4_0.conda
+    libcxx: '>=15.0.7'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.2-he965462_1.conda
   hash:
-    md5: 66d3c1f6dd4636216b4fca7a748d50eb
-    sha256: dae5921339c5d89f4bf58a95fd4e9c76270dbf7f6a94f3c5081b574905fcccf8
+    md5: faa179050abc6af1385e0fe9dd074f91
+    sha256: 1b0a0b9b67e8f155ebdc7205a7421c7aff4850a740fc9f88b3fa23282c98ed72
   category: main
   optional: false
 - name: libcurl
diff --git a/locks/schism_openmpi.yml b/locks/schism_openmpi.yml
index 7b6d6f77..3154c51e 100644
--- a/locks/schism_openmpi.yml
+++ b/locks/schism_openmpi.yml
@@ -307,28 +307,28 @@ package:
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.2-h59595ed_1.conda
   hash:
-    md5: 5e97e271911b8b2001a8b71860c32faa
-    sha256: 2ef420a655528bca9d269086cf33b7e90d2f54ad941b437fb1ed5eca87cee017
+    md5: 127b0be54c1c90760d7fe02ea7a56426
+    sha256: fdde15e74dc099ab1083823ec0f615958e53d9a8fae10405af977de251668bea
   category: main
   optional: false
 - name: libaec
-  version: 1.1.3
+  version: 1.1.2
   manager: conda
   platform: osx-64
   dependencies:
-    libcxx: '>=16'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.3-h73e2aa4_0.conda
+    libcxx: '>=15.0.7'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.1.2-he965462_1.conda
   hash:
-    md5: 66d3c1f6dd4636216b4fca7a748d50eb
-    sha256: dae5921339c5d89f4bf58a95fd4e9c76270dbf7f6a94f3c5081b574905fcccf8
+    md5: faa179050abc6af1385e0fe9dd074f91
+    sha256: 1b0a0b9b67e8f155ebdc7205a7421c7aff4850a740fc9f88b3fa23282c98ed72
   category: main
   optional: false
 - name: libcurl
diff --git a/locks/telemac_mpich.yml b/locks/telemac_mpich.yml
new file mode 100644
index 00000000..4a74220b
--- /dev/null
+++ b/locks/telemac_mpich.yml
@@ -0,0 +1,2602 @@
+# This lock file was generated by conda-lock (https://github.com/conda/conda-lock). DO NOT EDIT!
+#
+# A "lock file" contains a concrete list of package versions (with checksums) to be installed. Unlike
+# e.g. `conda env create`, the resulting environment will not change as new package versions become
+# available, unless you explicitly update the lock file.
+#
+# Install this environment as "YOURENV" with:
+#     conda-lock install -n YOURENV telemac_mpich.yml
+# To update a single package to the latest version compatible with the version constraints in the source:
+#     conda-lock lock  --lockfile telemac_mpich.yml --update PACKAGE
+# To re-solve the entire environment, e.g. after changing a version constraint in the source file:
+#     conda-lock -f ../dependencies/telemac_mpich.yml --lockfile telemac_mpich.yml
+version: 1
+metadata:
+  content_hash:
+    linux-64: 06cb4200f68255a20c8a8d844846f3c5f32fb2fbf5a8aee7257c4e4e70fe4e82
+  channels:
+  - url: conda-forge
+    used_env_vars: []
+  - url: tomsail
+    used_env_vars: []
+  platforms:
+  - linux-64
+  sources:
+  - ../dependencies/telemac_mpich.yml
+package:
+- name: _libgcc_mutex
+  version: '0.1'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
+  hash:
+    md5: d7c89558ba9fa0495403155b64376d81
+    sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726
+  category: main
+  optional: false
+- name: _openmp_mutex
+  version: '4.5'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    _libgcc_mutex: '0.1'
+    libgomp: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+  hash:
+    md5: 73aaf86a425cc6e73fcf236a5a46396d
+    sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22
+  category: main
+  optional: false
+- name: aed2-otm
+  version: 1.2.0
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/tomsail/linux-64/aed2-otm-1.2.0-1.tar.bz2
+  hash:
+    md5: a47c08cbf17c8b639a33c4926738bcb3
+    sha256: 8c8b2e30984b954c09e73d5fb7d2b1e78f787e0b3928094c65f0b7dce99e6c64
+  category: main
+  optional: false
+- name: alsa-lib
+  version: 1.2.11
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.11-hd590300_1.conda
+  hash:
+    md5: 0bb492cca54017ea314b809b1ee3a176
+    sha256: 0e2b75b9834a6e520b13db516f7cf5c9cea8f0bbc9157c978444173dacb98fec
+  category: main
+  optional: false
+- name: attr
+  version: 2.5.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2
+  hash:
+    md5: d9c69a24ad678ffce24c6543a0176b00
+    sha256: 82c13b1772c21fc4a17441734de471d3aabf82b61db9b11f4a1bd04a9c4ac324
+  category: main
+  optional: false
+- name: binutils
+  version: '2.40'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils_impl_linux-64: '>=2.40,<2.41.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils-2.40-hdd6e379_0.conda
+  hash:
+    md5: ccc940fddbc3fcd3d79cd4c654c4b5c4
+    sha256: 35f3b042f295fd7387de11cf426ca8ee5257e5c98b88560c6c5ad4ef3c85d38c
+  category: main
+  optional: false
+- name: binutils_impl_linux-64
+  version: '2.40'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    ld_impl_linux-64: '2.40'
+    sysroot_linux-64: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.40-hf600244_0.conda
+  hash:
+    md5: 33084421a8c0af6aef1b439707f7662a
+    sha256: a7e0ea2b71a5b03d82e5a58fb6b612ab1c44d72ce161f9aa441f7ba467cd4c8d
+  category: main
+  optional: false
+- name: binutils_linux-64
+  version: '2.40'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils_impl_linux-64: 2.40.*
+    sysroot_linux-64: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.40-hdade7a5_3.conda
+  hash:
+    md5: 2d9a60578bc28469d9aeef9aea5520c3
+    sha256: d114b825acef51c1d065ca0a17f97e0e856c48765aecf2f8f164935635013dd2
+  category: main
+  optional: false
+- name: brotli
+  version: 1.1.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    brotli-bin: 1.1.0
+    libbrotlidec: 1.1.0
+    libbrotlienc: 1.1.0
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hd590300_1.conda
+  hash:
+    md5: f27a24d46e3ea7b70a1f98e50c62508f
+    sha256: f2d918d351edd06c55a6c2d84b488fe392f85ea018ff227daac07db22b408f6b
+  category: main
+  optional: false
+- name: brotli-bin
+  version: 1.1.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libbrotlidec: 1.1.0
+    libbrotlienc: 1.1.0
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hd590300_1.conda
+  hash:
+    md5: 39f910d205726805a958da408ca194ba
+    sha256: a641abfbaec54f454c8434061fffa7fdaa9c695e8a5a400ed96b4f07c0c00677
+  category: main
+  optional: false
+- name: bzip2
+  version: 1.0.8
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda
+  hash:
+    md5: 69b8b6202a07720f448be700e300ccf4
+    sha256: 242c0c324507ee172c0e0dd2045814e746bb303d1eb78870d182ceb0abc726a8
+  category: main
+  optional: false
+- name: c-ares
+  version: 1.27.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.27.0-hd590300_0.conda
+  hash:
+    md5: f6afff0e9ee08d2f1b897881a4f38cdb
+    sha256: 2a5866b19d28cb963fab291a62ff1c884291b9d6f59de14643e52f103e255749
+  category: main
+  optional: false
+- name: ca-certificates
+  version: 2024.2.2
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda
+  hash:
+    md5: 2f4327a1cbe7f022401b236e915a5fef
+    sha256: 91d81bfecdbb142c15066df70cc952590ae8991670198f92c66b62019b251aeb
+  category: main
+  optional: false
+- name: cairo
+  version: 1.18.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    fontconfig: '>=2.14.2,<3.0a0'
+    fonts-conda-ecosystem: ''
+    freetype: '>=2.12.1,<3.0a0'
+    icu: '>=73.2,<74.0a0'
+    libgcc-ng: '>=12'
+    libglib: '>=2.78.0,<3.0a0'
+    libpng: '>=1.6.39,<1.7.0a0'
+    libstdcxx-ng: '>=12'
+    libxcb: '>=1.15,<1.16.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    pixman: '>=0.42.2,<1.0a0'
+    xorg-libice: '>=1.1.1,<2.0a0'
+    xorg-libsm: '>=1.2.4,<2.0a0'
+    xorg-libx11: '>=1.8.6,<2.0a0'
+    xorg-libxext: '>=1.3.4,<2.0a0'
+    xorg-libxrender: '>=0.9.11,<0.10.0a0'
+    zlib: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-h3faef2a_0.conda
+  hash:
+    md5: f907bb958910dc404647326ca80c263e
+    sha256: 142e2639a5bc0e99c44d76f4cc8dce9c6a2d87330c4beeabb128832cd871a86e
+  category: main
+  optional: false
+- name: certifi
+  version: 2024.2.2
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
+  hash:
+    md5: 0876280e409658fc6f9e75d035960333
+    sha256: f1faca020f988696e6b6ee47c82524c7806380b37cfdd1def32f92c326caca54
+  category: main
+  optional: false
+- name: contourpy
+  version: 1.2.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    numpy: '>=1.20,<2'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.2.0-py311h9547e67_0.conda
+  hash:
+    md5: 40828c5b36ef52433e21f89943e09f33
+    sha256: 2c76e2a970b74eef92ef9460aa705dbdc506dd59b7382bfbedce39d9c189d7f4
+  category: main
+  optional: false
+- name: cycler
+  version: 0.12.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda
+  hash:
+    md5: 5cd86562580f274031ede6aa6aa24441
+    sha256: f221233f21b1d06971792d491445fd548224641af9443739b4b7b6d5d72954a8
+  category: main
+  optional: false
+- name: dbus
+  version: 1.13.6
+  manager: conda
+  platform: linux-64
+  dependencies:
+    expat: '>=2.4.2,<3.0a0'
+    libgcc-ng: '>=9.4.0'
+    libglib: '>=2.70.2,<3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.13.6-h5008d03_3.tar.bz2
+  hash:
+    md5: ecfff944ba3960ecb334b9a2663d708d
+    sha256: 8f5f995699a2d9dbdd62c61385bfeeb57c82a681a7c8c5313c395aa0ccab68a5
+  category: main
+  optional: false
+- name: expat
+  version: 2.6.2
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libexpat: 2.6.2
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.2-h59595ed_0.conda
+  hash:
+    md5: 53fb86322bdb89496d7579fe3f02fd61
+    sha256: 89916c536ae5b85bb8bf0cfa27d751e274ea0911f04e4a928744735c14ef5155
+  category: main
+  optional: false
+- name: font-ttf-dejavu-sans-mono
+  version: '2.37'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
+  hash:
+    md5: 0c96522c6bdaed4b1566d11387caaf45
+    sha256: 58d7f40d2940dd0a8aa28651239adbf5613254df0f75789919c4e6762054403b
+  category: main
+  optional: false
+- name: font-ttf-inconsolata
+  version: '3.000'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
+  hash:
+    md5: 34893075a5c9e55cdafac56607368fc6
+    sha256: c52a29fdac682c20d252facc50f01e7c2e7ceac52aa9817aaf0bb83f7559ec5c
+  category: main
+  optional: false
+- name: font-ttf-source-code-pro
+  version: '2.038'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
+  hash:
+    md5: 4d59c254e01d9cde7957100457e2d5fb
+    sha256: 00925c8c055a2275614b4d983e1df637245e19058d79fc7dd1a93b8d9fb4b139
+  category: main
+  optional: false
+- name: font-ttf-ubuntu
+  version: '0.83'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_1.conda
+  hash:
+    md5: 6185f640c43843e5ad6fd1c5372c3f80
+    sha256: 056c85b482d58faab5fd4670b6c1f5df0986314cca3bc831d458b22e4ef2c792
+  category: main
+  optional: false
+- name: fontconfig
+  version: 2.14.2
+  manager: conda
+  platform: linux-64
+  dependencies:
+    expat: '>=2.5.0,<3.0a0'
+    freetype: '>=2.12.1,<3.0a0'
+    libgcc-ng: '>=12'
+    libuuid: '>=2.32.1,<3.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.14.2-h14ed4e7_0.conda
+  hash:
+    md5: 0f69b688f52ff6da70bccb7ff7001d1d
+    sha256: 155d534c9037347ea7439a2c6da7c24ffec8e5dd278889b4c57274a1d91e0a83
+  category: main
+  optional: false
+- name: fonts-conda-ecosystem
+  version: '1'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    fonts-conda-forge: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
+  hash:
+    md5: fee5683a3f04bd15cbd8318b096a27ab
+    sha256: a997f2f1921bb9c9d76e6fa2f6b408b7fa549edd349a77639c9fe7a23ea93e61
+  category: main
+  optional: false
+- name: fonts-conda-forge
+  version: '1'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    font-ttf-dejavu-sans-mono: ''
+    font-ttf-inconsolata: ''
+    font-ttf-source-code-pro: ''
+    font-ttf-ubuntu: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
+  hash:
+    md5: f766549260d6815b0c52253f1fb1bb29
+    sha256: 53f23a3319466053818540bcdf2091f253cbdbab1e0e9ae7b9e509dcaa2a5e38
+  category: main
+  optional: false
+- name: fonttools
+  version: 4.50.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    brotli: ''
+    libgcc-ng: '>=12'
+    munkres: ''
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.50.0-py311h459d7ec_0.conda
+  hash:
+    md5: fcdef52b45265eece45de756b164a9a7
+    sha256: 8c067ffd17d97374ef206bd88953a641c0807686008da68140039bec5c4dee79
+  category: main
+  optional: false
+- name: freetype
+  version: 2.12.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libpng: '>=1.6.39,<1.7.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda
+  hash:
+    md5: 9ae35c3d96db2c94ce0cef86efdfa2cb
+    sha256: b2e3c449ec9d907dd4656cb0dc93e140f447175b125a3824b31368b06c666bb6
+  category: main
+  optional: false
+- name: gcc_impl_linux-64
+  version: 12.3.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils_impl_linux-64: '>=2.39'
+    libgcc-devel_linux-64: 12.3.0
+    libgcc-ng: '>=12.3.0'
+    libgomp: '>=12.3.0'
+    libsanitizer: 12.3.0
+    libstdcxx-ng: '>=12.3.0'
+    sysroot_linux-64: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-12.3.0-he2b93b0_5.conda
+  hash:
+    md5: e89827619e73df59496c708b94f6f3d5
+    sha256: a87826c55e6aa2ed5d17f267e6a583f7951658afaa4bf45cd5ba97f5583608b9
+  category: main
+  optional: false
+- name: gcc_linux-64
+  version: 12.3.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils_linux-64: '2.40'
+    gcc_impl_linux-64: 12.3.0.*
+    sysroot_linux-64: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/gcc_linux-64-12.3.0-h6477408_3.conda
+  hash:
+    md5: 7a53f84c45bdf4656ba27b9e9ed68b3d
+    sha256: 836692c3d4948f25a19f9071db40f7788edcb342d771786a206a6a122f92365d
+  category: main
+  optional: false
+- name: gettext
+  version: 0.21.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.21.1-h27087fc_0.tar.bz2
+  hash:
+    md5: 14947d8770185e5153fdd04d4673ed37
+    sha256: 4fcfedc44e4c9a053f0416f9fc6ab6ed50644fca3a761126dbd00d09db1f546a
+  category: main
+  optional: false
+- name: gfortran_impl_linux-64
+  version: 12.3.0
+  manager: conda
+  platform: linux-64
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+  category: main
+  optional: false
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+  version: 0.4.1
+  manager: conda
+  platform: linux-64
+  dependencies:
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+    libxcb: '>=1.15,<1.16.0a0'
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+  optional: false
+- name: xkeyboard-config
+  version: '2.41'
+  manager: conda
+  platform: linux-64
+  dependencies:
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+    xorg-libx11: '>=1.8.7,<2.0a0'
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+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-kbproto-1.0.7-h7f98852_1002.tar.bz2
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+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hd590300_0.conda
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+    libuuid: '>=2.38.1,<3.0a0'
+    xorg-libice: '>=1.1.1,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-h7391055_0.conda
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+    libxcb: '>=1.15,<1.16.0a0'
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+    xorg-xextproto: '>=7.3.0,<8.0a0'
+    xorg-xproto: ''
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+  dependencies:
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+    xorg-libx11: '>=1.7.2,<2.0a0'
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+    xorg-libx11: '>=1.8.6,<2.0a0'
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+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hd590300_0.conda
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+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-renderproto-0.11.1-h7f98852_1002.tar.bz2
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+  dependencies:
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+- name: xorg-xf86vidmodeproto
+  version: 2.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xf86vidmodeproto-2.3.1-h7f98852_1002.tar.bz2
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+  dependencies:
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+    libzlib: 1.2.13
+  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-hd590300_5.conda
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+  optional: false
+- name: zstd
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.5-hfc55251_0.conda
+  hash:
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+  optional: false
diff --git a/locks/telemac_openmpi.yml b/locks/telemac_openmpi.yml
new file mode 100644
index 00000000..cc7c52d9
--- /dev/null
+++ b/locks/telemac_openmpi.yml
@@ -0,0 +1,2604 @@
+# This lock file was generated by conda-lock (https://github.com/conda/conda-lock). DO NOT EDIT!
+#
+# A "lock file" contains a concrete list of package versions (with checksums) to be installed. Unlike
+# e.g. `conda env create`, the resulting environment will not change as new package versions become
+# available, unless you explicitly update the lock file.
+#
+# Install this environment as "YOURENV" with:
+#     conda-lock install -n YOURENV telemac_openmpi.yml
+# To update a single package to the latest version compatible with the version constraints in the source:
+#     conda-lock lock  --lockfile telemac_openmpi.yml --update PACKAGE
+# To re-solve the entire environment, e.g. after changing a version constraint in the source file:
+#     conda-lock -f ../dependencies/telemac_openmpi.yml --lockfile telemac_openmpi.yml
+version: 1
+metadata:
+  content_hash:
+    linux-64: 86c2d37ac783825da40951d94e119ec4b65f073b9e478df8b813e132d0a834c3
+  channels:
+  - url: conda-forge
+    used_env_vars: []
+  - url: tomsail
+    used_env_vars: []
+  platforms:
+  - linux-64
+  sources:
+  - ../dependencies/telemac_openmpi.yml
+package:
+- name: _libgcc_mutex
+  version: '0.1'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
+  hash:
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+    sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726
+  category: main
+  optional: false
+- name: _openmp_mutex
+  version: '4.5'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    _libgcc_mutex: '0.1'
+    libgomp: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+  hash:
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+  category: main
+  optional: false
+- name: aed2-otm
+  version: 1.2.0
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/tomsail/linux-64/aed2-otm-1.2.0-1.tar.bz2
+  hash:
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+  optional: false
+- name: alsa-lib
+  version: 1.2.11
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.11-hd590300_1.conda
+  hash:
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+  category: main
+  optional: false
+- name: attr
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2
+  hash:
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+    sha256: 82c13b1772c21fc4a17441734de471d3aabf82b61db9b11f4a1bd04a9c4ac324
+  category: main
+  optional: false
+- name: binutils
+  version: '2.40'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    binutils_impl_linux-64: '>=2.40,<2.41.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils-2.40-hdd6e379_0.conda
+  hash:
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+    sha256: 35f3b042f295fd7387de11cf426ca8ee5257e5c98b88560c6c5ad4ef3c85d38c
+  category: main
+  optional: false
+- name: binutils_impl_linux-64
+  version: '2.40'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    ld_impl_linux-64: '2.40'
+    sysroot_linux-64: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.40-hf600244_0.conda
+  hash:
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+  category: main
+  optional: false
+- name: binutils_linux-64
+  version: '2.40'
+  manager: conda
+  platform: linux-64
+  dependencies:
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+    sysroot_linux-64: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.40-hdade7a5_3.conda
+  hash:
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+  category: main
+  optional: false
+- name: brotli
+  version: 1.1.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    brotli-bin: 1.1.0
+    libbrotlidec: 1.1.0
+    libbrotlienc: 1.1.0
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hd590300_1.conda
+  hash:
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+  category: main
+  optional: false
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+  version: 1.1.0
+  manager: conda
+  platform: linux-64
+  dependencies:
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+    libbrotlienc: 1.1.0
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+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hd590300_1.conda
+  hash:
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+  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda
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+- name: ca-certificates
+  version: 2024.2.2
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda
+  hash:
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+  dependencies:
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+    fonts-conda-ecosystem: ''
+    freetype: '>=2.12.1,<3.0a0'
+    icu: '>=73.2,<74.0a0'
+    libgcc-ng: '>=12'
+    libglib: '>=2.78.0,<3.0a0'
+    libpng: '>=1.6.39,<1.7.0a0'
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+    libxcb: '>=1.15,<1.16.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
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+    xorg-libxrender: '>=0.9.11,<0.10.0a0'
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+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
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+  dependencies:
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+    libstdcxx-ng: '>=12'
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+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.2.0-py311h9547e67_0.conda
+  hash:
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+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda
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+- name: tzdata
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+    libxcb: '>=1.15,<1.16.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-0.4.0-hd590300_1.conda
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+  optional: false
+- name: xcb-util-image
+  version: 0.4.0
+  manager: conda
+  platform: linux-64
+  dependencies:
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+    libxcb: '>=1.15,<1.16.0a0'
+    xcb-util: '>=0.4.0,<0.5.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-image-0.4.0-h8ee46fc_1.conda
+  hash:
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+    sha256: 92ffd68d2801dbc27afe223e04ae7e78ef605fc8575f107113c93c7bafbd15b0
+  category: main
+  optional: false
+- name: xcb-util-keysyms
+  version: 0.4.0
+  manager: conda
+  platform: linux-64
+  dependencies:
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+    libxcb: '>=1.15,<1.16.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-keysyms-0.4.0-h8ee46fc_1.conda
+  hash:
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+    sha256: 8451d92f25d6054a941b962179180728c48c62aab5bf20ac10fef713d5da6a9a
+  category: main
+  optional: false
+- name: xcb-util-renderutil
+  version: 0.3.9
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libxcb: '>=1.15,<1.16.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-renderutil-0.3.9-hd590300_1.conda
+  hash:
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+    sha256: 6987588e6fff5892056021c2ea52f7a0deefb2c7348e70d24750e2d60dabf009
+  category: main
+  optional: false
+- name: xcb-util-wm
+  version: 0.4.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libxcb: '>=1.15,<1.16.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-wm-0.4.1-h8ee46fc_1.conda
+  hash:
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+    sha256: 08ba7147c7579249b6efd33397dc1a8c2404278053165aaecd39280fee705724
+  category: main
+  optional: false
+- name: xkeyboard-config
+  version: '2.41'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    xorg-libx11: '>=1.8.7,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.41-hd590300_0.conda
+  hash:
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+    sha256: 56955610c0747ea7cb026bb8aa9ef165ff41d616e89894538173b8b7dd2ee49a
+  category: main
+  optional: false
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+  version: 1.0.7
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=9.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-kbproto-1.0.7-h7f98852_1002.tar.bz2
+  hash:
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+    sha256: e90b0a6a5d41776f11add74aa030f789faf4efd3875c31964d6f9cfa63a10dd1
+  category: main
+  optional: false
+- name: xorg-libice
+  version: 1.1.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hd590300_0.conda
+  hash:
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+    sha256: 5aa9b3682285bb2bf1a8adc064cb63aff76ef9178769740d855abb42b0d24236
+  category: main
+  optional: false
+- name: xorg-libsm
+  version: 1.2.4
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libuuid: '>=2.38.1,<3.0a0'
+    xorg-libice: '>=1.1.1,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-h7391055_0.conda
+  hash:
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+    sha256: 089ad5f0453c604e18985480218a84b27009e9e6de9a0fa5f4a20b8778ede1f1
+  category: main
+  optional: false
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+  version: 1.8.7
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libxcb: '>=1.15,<1.16.0a0'
+    xorg-kbproto: ''
+    xorg-xextproto: '>=7.3.0,<8.0a0'
+    xorg-xproto: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.7-h8ee46fc_0.conda
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+    sha256: 7a02a7beac472ae2759498550b5fc5261bf5be7a9a2b4648a3f67818a7bfefcf
+  category: main
+  optional: false
+- name: xorg-libxau
+  version: 1.0.11
+  manager: conda
+  platform: linux-64
+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hd590300_0.conda
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+  optional: false
+- name: xorg-libxdmcp
+  version: 1.1.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=9.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.3-h7f98852_0.tar.bz2
+  hash:
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+    sha256: 4df7c5ee11b8686d3453e7f3f4aa20ceef441262b49860733066c52cfd0e4a77
+  category: main
+  optional: false
+- name: xorg-libxext
+  version: 1.3.4
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    xorg-libx11: '>=1.7.2,<2.0a0'
+    xorg-xextproto: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.4-h0b41bf4_2.conda
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+  category: main
+  optional: false
+- name: xorg-libxrender
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    xorg-libx11: '>=1.8.6,<2.0a0'
+    xorg-renderproto: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hd590300_0.conda
+  hash:
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+  category: main
+  optional: false
+- name: xorg-renderproto
+  version: 0.11.1
+  manager: conda
+  platform: linux-64
+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-renderproto-0.11.1-h7f98852_1002.tar.bz2
+  hash:
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+    sha256: 38942930f233d1898594dd9edf4b0c0786f3dbc12065a0c308634c37fd936034
+  category: main
+  optional: false
+- name: xorg-xextproto
+  version: 7.3.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xextproto-7.3.0-h0b41bf4_1003.conda
+  hash:
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+    sha256: b8dda3b560e8a7830fe23be1c58cc41f407b2e20ae2f3b6901eb5842ba62b743
+  category: main
+  optional: false
+- name: xorg-xf86vidmodeproto
+  version: 2.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=9.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xf86vidmodeproto-2.3.1-h7f98852_1002.tar.bz2
+  hash:
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+    sha256: 43398aeacad5b8753b7a1c12cb6bca36124e0c842330372635879c350c430791
+  category: main
+  optional: false
+- name: xorg-xproto
+  version: 7.0.31
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=9.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xproto-7.0.31-h7f98852_1007.tar.bz2
+  hash:
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+    sha256: f197bb742a17c78234c24605ad1fe2d88b1d25f332b75d73e5ba8cf8fbc2a10d
+  category: main
+  optional: false
+- name: xz
+  version: 5.2.6
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
+  hash:
+    md5: 2161070d867d1b1204ea749c8eec4ef0
+    sha256: 03a6d28ded42af8a347345f82f3eebdd6807a08526d47899a42d62d319609162
+  category: main
+  optional: false
+- name: zlib
+  version: 1.2.13
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libzlib: 1.2.13
+  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-hd590300_5.conda
+  hash:
+    md5: 68c34ec6149623be41a1933ab996a209
+    sha256: 9887a04d7e7cb14bd2b52fa01858f05a6d7f002c890f618d9fcd864adbfecb1b
+  category: main
+  optional: false
+- name: zstd
+  version: 1.5.5
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.5-hfc55251_0.conda
+  hash:
+    md5: 04b88013080254850d6c01ed54810589
+    sha256: 607cbeb1a533be98ba96cf5cdf0ddbb101c78019f1fda063261871dad6248609
+  category: main
+  optional: false
diff --git a/poetry.lock b/poetry.lock
index 4a2c4fd8..a1804d07 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "affine"
@@ -28,13 +28,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.6.2.post1"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
+    {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
 ]
 
 [package.dependencies]
@@ -44,9 +44,9 @@ sniffio = ">=1.1"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "appnope"
@@ -222,33 +222,33 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "24.8.0"
+version = "24.10.0"
 description = "The uncompromising code formatter."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -262,7 +262,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
+d = ["aiohttp (>=3.10)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
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 [[package]]
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+version = "3.1.0"
 description = "Pickler class to extend the standard pickle.Pickler functionality"
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 [package.dependencies]
@@ -1071,33 +1087,37 @@ tests = ["dask-expr", "dask-geopandas", "geodatasets", "geopandas", "nbval", "ne
 
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@@ -1377,13 +1416,13 @@ woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 
 [[package]]
 name = "fsspec"
-version = "2024.6.1"
+version = "2024.9.0"
 description = "File-system specification"
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 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1511,13 +1550,13 @@ files = [
 
 [[package]]
 name = "griffe"
-version = "1.1.1"
+version = "1.4.1"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 optional = false
-python-versions = ">=3.8"
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 files = [
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 ]
 
 [package.dependencies]
@@ -1582,13 +1621,13 @@ lxml = ["lxml"]
 
 [[package]]
 name = "httpcore"
-version = "1.0.5"
+version = "1.0.6"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -1599,17 +1638,17 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.0"
+version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1624,81 +1663,89 @@ brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "hvplot"
-version = "0.10.0"
+version = "0.11.1"
 description = "A high-level plotting API for the PyData ecosystem built on HoloViews."
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
-bokeh = ">=1.0.0"
+bokeh = ">=3.1"
 colorcet = ">=2"
-holoviews = ">=1.11.0"
-numpy = ">=1.15"
+holoviews = ">=1.19.0"
+numpy = ">=1.21"
 packaging = "*"
-pandas = "*"
-panel = ">=0.11.0"
+pandas = ">=1.3"
+panel = ">=1.0"
 param = ">=1.12.0,<3.0"
 
 [package.extras]
 dev-extras = ["setuptools-scm (>=6)"]
-doc = ["hvplot[examples]", "nbsite (>=0.8.4)", "sphinxext-rediraffe"]
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+doc = ["hvplot[examples]", "nbsite (>=0.8.6)", "sphinxext-rediraffe"]
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+tests = ["dask", "duckdb", "fugue[sql]", "hvplot[fugue-sql]", "hvplot[tests-core]", "ibis-framework[duckdb]", "polars", "spatialpandas"]
+tests-core = ["bokeh-sampledata", "dask[dataframe]", "ipywidgets", "matplotlib", "parameterized", "plotly", "pooch", "pre-commit", "psutil", "pytest", "pytest-cov", "ruff", "scipy", "xarray"]
 tests-nb = ["nbval", "pytest-xdist"]
 
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-version = "3.7"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.5"
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 files = [
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+
 [[package]]
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 description = "Read metadata from Python packages"
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 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
-zipp = ">=0.5"
+zipp = ">=3.20"
 
 [package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
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+type = ["pytest-mypy"]
 
 [[package]]
 name = "importlib-resources"
-version = "6.4.4"
+version = "6.4.5"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1849,13 +1896,13 @@ files = [
 
 [[package]]
 name = "ipywidgets"
-version = "7.8.3"
+version = "7.8.4"
 description = "IPython HTML widgets for Jupyter"
 optional = true
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -1864,7 +1911,7 @@ ipython = {version = ">=4.0.0", markers = "python_version >= \"3.3\""}
 ipython-genutils = ">=0.2.0,<0.3.0"
 jupyterlab-widgets = {version = ">=1.0.0,<3", markers = "python_version >= \"3.6\""}
 traitlets = ">=4.3.1"
-widgetsnbextension = ">=3.6.8,<3.7.0"
+widgetsnbextension = ">=3.6.9,<3.7.0"
 
 [package.extras]
 test = ["ipykernel", "mock", "pytest (>=3.6.0)", "pytest-cov"]
@@ -2123,13 +2170,13 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.12.1"
+version = "2024.10.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -2137,13 +2184,13 @@ referencing = ">=0.31.0"
 
 [[package]]
 name = "jupyter-client"
-version = "8.6.2"
+version = "8.6.3"
 description = "Jupyter protocol implementation and client libraries"
 optional = true
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -2191,126 +2238,136 @@ files = [
 
 [[package]]
 name = "jupyterlab-widgets"
-version = "1.1.9"
+version = "1.1.10"
 description = "A JupyterLab extension."
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 python-versions = ">=3.6"
 files = [
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 ]
 
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@@ -2562,13 +2619,13 @@ source = ["Cython (>=3.0.11)"]
 
 [[package]]
 name = "lxml-html-clean"
-version = "0.2.0"
+version = "0.3.1"
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 [package.dependencies]
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 [[package]]
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-version = "2.1.5"
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 [[package]]
@@ -2789,13 +2847,13 @@ app = ["envisage"]
 
 [[package]]
 name = "mdit-py-plugins"
-version = "0.4.1"
+version = "0.4.2"
 description = "Collection of plugins for markdown-it-py"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2841,13 +2899,13 @@ files = [
 
 [[package]]
 name = "mkdocs"
-version = "1.6.0"
+version = "1.6.1"
 description = "Project documentation with Markdown."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -2872,13 +2930,13 @@ min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-imp
 
 [[package]]
 name = "mkdocs-autorefs"
-version = "1.1.0"
+version = "1.2.0"
 description = "Automatically link across pages in MkDocs."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2905,13 +2963,13 @@ pyyaml = ">=5.1"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.5.32"
+version = "9.5.41"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2945,24 +3003,24 @@ files = [
 
 [[package]]
 name = "mkdocstrings"
-version = "0.25.2"
+version = "0.26.2"
 description = "Automatic documentation from sources, for MkDocs."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
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 [package.dependencies]
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 importlib-metadata = {version = ">=4.6", markers = "python_version < \"3.10\""}
 Jinja2 = ">=2.11.1"
-Markdown = ">=3.3"
+Markdown = ">=3.6"
 MarkupSafe = ">=1.1"
 mkdocs = ">=1.4"
-mkdocs-autorefs = ">=0.3.1"
-platformdirs = ">=2.2.0"
+mkdocs-autorefs = ">=1.2"
+platformdirs = ">=2.2"
 pymdown-extensions = ">=6.3"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.10\""}
 
@@ -2973,18 +3031,60 @@ python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
 
 [[package]]
 name = "mkdocstrings-python"
-version = "1.10.8"
+version = "1.12.1"
 description = "A Python handler for mkdocstrings."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
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-mkdocstrings = ">=0.25"
+mkdocs-autorefs = ">=1.2"
+mkdocstrings = ">=0.26"
+
+[[package]]
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+version = "4.0.1"
+description = "Python bindings for MPI"
+optional = false
+python-versions = ">=3.6"
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+]
+
+[[package]]
+name = "multifutures"
+version = "0.3.2"
+description = "Multiprocessing/multithreading made easy"
+optional = false
+python-versions = ">=3.9"
+files = [
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+
+[package.dependencies]
+exceptiongroup = "*"
+limits = "*"
+tqdm = "*"
+
+[package.extras]
+full = ["loky", "psutil"]
 
 [[package]]
 name = "multipledispatch"
@@ -3251,56 +3351,47 @@ zfpy = ["zfpy (>=1.0.0)"]
 
 [[package]]
 name = "numpy"
-version = "2.0.1"
+version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -3524,95 +3635,90 @@ ptyprocess = ">=0.5"
 
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 mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
@@ -3621,19 +3727,19 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.2.2"
+version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
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 python-versions = ">=3.8"
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-type = ["mypy (>=1.8)"]
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+type = ["mypy (>=1.11.2)"]
 
 [[package]]
 name = "pluggy"
@@ -3673,13 +3779,13 @@ xxhash = ["xxhash (>=1.4.3)"]
 
 [[package]]
 name = "prometheus-client"
-version = "0.20.0"
+version = "0.21.0"
 description = "Python client for the Prometheus monitoring system."
 optional = true
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 [package.extras]
@@ -3687,13 +3793,13 @@ twisted = ["twisted"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.47"
+version = "3.0.48"
 description = "Library for building powerful interactive command lines in Python"
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 [package.dependencies]
@@ -3837,18 +3943,18 @@ tests = ["flake8", "pytest"]
 
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+version = "2.9.2"
 description = "Data validation using Python type hints"
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 [package.dependencies]
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@@ -3856,103 +3962,104 @@ typing-extensions = [
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
+timezone = ["tzdata"]
 
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 [package.dependencies]
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 [[package]]
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+version = "10.11.2"
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 [package.dependencies]
@@ -4152,19 +4271,19 @@ packaging = "*"
 
 [package.extras]
 benchmark = ["pytest-benchmark"]
-dev = ["Cython"]
+dev = ["cython"]
 geopandas = ["geopandas"]
 test = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "pyparsing"
-version = "3.1.2"
+version = "3.2.0"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
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 [package.extras]
@@ -4211,36 +4330,36 @@ certifi = "*"
 
 [[package]]
 name = "pyresample"
-version = "1.29.0"
+version = "1.30.0"
 description = "Geospatial image resampling in Python"
 optional = false
 python-versions = ">=3.9"
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 [package.dependencies]
@@ -4654,17 +4777,16 @@ click = ">=4.0"
 click-plugins = "*"
 cligj = ">=0.5"
 importlib-metadata = {version = "*", markers = "python_version < \"3.10\""}
-numpy = "*"
-setuptools = "*"
-snuggs = ">=1.4.1"
+numpy = ">=1.24"
+pyparsing = "*"
 
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-docs = ["ghp-import", "numpydoc", "sphinx", "sphinx-rtd-theme"]
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+docs = ["ghp-import", "numpydoc", "sphinx", "sphinx-click", "sphinx-rtd-theme"]
 ipython = ["ipython (>=2.0)"]
 plot = ["matplotlib"]
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+test = ["boto3 (>=1.2.4)", "fsspec", "hypothesis", "packaging", "pytest (>=2.8.2)", "pytest-cov (>=2.2.0)", "shapely"]
 
 [[package]]
 name = "referencing"
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 [[package]]
 name = "regex"
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 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
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-tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.23)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.2.1)", "scikit-image (>=0.17.2)"]
+tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.2.1)", "scikit-image (>=0.17.2)"]
 
 [[package]]
 name = "scipy"
@@ -5030,27 +5172,31 @@ test = ["array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "mpmath", "po
 
 [[package]]
 name = "searvey"
-version = "0.3.13"
+version = "0.3.14"
 description = "Sea state observational data retrieval"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "searvey-0.3.13-py3-none-any.whl", hash = "sha256:8c699f993d07bdacef16f7218a455c047a2f636aad6cc1fe645a8ac69e52e1f1"},
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 ]
 
 [package.dependencies]
 beautifulsoup4 = "*"
 dataretrieval = ">=1"
+deprecated = "*"
 erddapy = "*"
 geopandas = "*"
 html5lib = "*"
+httpx = "*"
 limits = "*"
 lxml = {version = "*", extras = ["html-clean"]}
+multifutures = "*"
 numpy = "*"
 pandas = "*"
 pydantic = ">2"
 requests = "*"
 Shapely = "*"
+tenacity = "!=8.4.0"
 tqdm = "*"
 typing-extensions = "*"
 xarray = "*"
@@ -5073,19 +5219,23 @@ win32 = ["pywin32"]
 
 [[package]]
 name = "setuptools"
-version = "73.0.1"
+version = "75.2.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.5.2)"]
+core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.collections", "jaraco.functools", "jaraco.text (>=3.7)", "more-itertools", "more-itertools (>=8.8)", "packaging", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
+cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
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+enabler = ["pytest-enabler (>=2.2)"]
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+type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.11.*)", "pytest-mypy"]
 
 [[package]]
 name = "shapely"
@@ -5167,24 +5317,6 @@ files = [
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-[[package]]
-name = "snuggs"
-version = "1.4.7"
-description = "Snuggs are s-expressions for Numpy"
-optional = false
-python-versions = "*"
-files = [
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-
-[package.dependencies]
-numpy = "*"
-pyparsing = ">=2.1.6"
-
-[package.extras]
-test = ["hypothesis", "pytest"]
-
 [[package]]
 name = "soupsieve"
 version = "2.6"
@@ -5285,6 +5417,21 @@ pure-eval = "*"
 [package.extras]
 tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
+[[package]]
+name = "tenacity"
+version = "9.0.0"
+description = "Retry code until it succeeds"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
+doc = ["reno", "sphinx"]
+test = ["pytest", "tornado (>=4.5)", "typeguard"]
+
 [[package]]
 name = "terminado"
 version = "0.18.1"
@@ -5337,24 +5484,24 @@ test = ["pytest", "ruff"]
 
 [[package]]
 name = "tomli"
-version = "2.0.1"
+version = "2.0.2"
 description = "A lil' TOML parser"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "toolz"
-version = "0.12.1"
+version = "1.0.0"
 description = "List processing tools and functional utilities"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -5542,13 +5689,13 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2024.1"
+version = "2024.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
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 ]
 
 [[package]]
@@ -5567,13 +5714,13 @@ test = ["coverage", "pytest", "pytest-cov"]
 
 [[package]]
 name = "urllib3"
-version = "2.2.2"
+version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -5625,46 +5772,41 @@ web = ["wslink (>=1.0.4)"]
 
 [[package]]
 name = "watchdog"
-version = "4.0.2"
+version = "5.0.3"
 description = "Filesystem events monitoring"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
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+    {file = "watchdog-5.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:53a3f10b62c2d569e260f96e8d966463dec1a50fa4f1b22aec69e3f91025060e"},
+    {file = "watchdog-5.0.3-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:950f531ec6e03696a2414b6308f5c6ff9dab7821a768c9d5788b1314e9a46ca7"},
+    {file = "watchdog-5.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:ae6deb336cba5d71476caa029ceb6e88047fc1dc74b62b7c4012639c0b563906"},
+    {file = "watchdog-5.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1021223c08ba8d2d38d71ec1704496471ffd7be42cfb26b87cd5059323a389a1"},
+    {file = "watchdog-5.0.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:752fb40efc7cc8d88ebc332b8f4bcbe2b5cc7e881bccfeb8e25054c00c994ee3"},
+    {file = "watchdog-5.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a2e8f3f955d68471fa37b0e3add18500790d129cc7efe89971b8a4cc6fdeb0b2"},
+    {file = "watchdog-5.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b8ca4d854adcf480bdfd80f46fdd6fb49f91dd020ae11c89b3a79e19454ec627"},
+    {file = "watchdog-5.0.3-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:90a67d7857adb1d985aca232cc9905dd5bc4803ed85cfcdcfcf707e52049eda7"},
+    {file = "watchdog-5.0.3-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:720ef9d3a4f9ca575a780af283c8fd3a0674b307651c1976714745090da5a9e8"},
+    {file = "watchdog-5.0.3-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:223160bb359281bb8e31c8f1068bf71a6b16a8ad3d9524ca6f523ac666bb6a1e"},
+    {file = "watchdog-5.0.3-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:560135542c91eaa74247a2e8430cf83c4342b29e8ad4f520ae14f0c8a19cfb5b"},
+    {file = "watchdog-5.0.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:dd021efa85970bd4824acacbb922066159d0f9e546389a4743d56919b6758b91"},
+    {file = "watchdog-5.0.3-py3-none-manylinux2014_armv7l.whl", hash = "sha256:78864cc8f23dbee55be34cc1494632a7ba30263951b5b2e8fc8286b95845f82c"},
+    {file = "watchdog-5.0.3-py3-none-manylinux2014_i686.whl", hash = "sha256:1e9679245e3ea6498494b3028b90c7b25dbb2abe65c7d07423ecfc2d6218ff7c"},
+    {file = "watchdog-5.0.3-py3-none-manylinux2014_ppc64.whl", hash = "sha256:9413384f26b5d050b6978e6fcd0c1e7f0539be7a4f1a885061473c5deaa57221"},
+    {file = "watchdog-5.0.3-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:294b7a598974b8e2c6123d19ef15de9abcd282b0fbbdbc4d23dfa812959a9e05"},
+    {file = "watchdog-5.0.3-py3-none-manylinux2014_s390x.whl", hash = "sha256:26dd201857d702bdf9d78c273cafcab5871dd29343748524695cecffa44a8d97"},
+    {file = "watchdog-5.0.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:0f9332243355643d567697c3e3fa07330a1d1abf981611654a1f2bf2175612b7"},
+    {file = "watchdog-5.0.3-py3-none-win32.whl", hash = "sha256:c66f80ee5b602a9c7ab66e3c9f36026590a0902db3aea414d59a2f55188c1f49"},
+    {file = "watchdog-5.0.3-py3-none-win_amd64.whl", hash = "sha256:f00b4cf737f568be9665563347a910f8bdc76f88c2970121c86243c8cfdf90e9"},
+    {file = "watchdog-5.0.3-py3-none-win_ia64.whl", hash = "sha256:49f4d36cb315c25ea0d946e018c01bb028048023b9e103d3d3943f58e109dd45"},
+    {file = "watchdog-5.0.3.tar.gz", hash = "sha256:108f42a7f0345042a854d4d0ad0834b741d421330d5f575b81cb27b883500176"},
 ]
 
 [package.extras]
@@ -5709,13 +5851,13 @@ testing = ["coverage", "pytest (>=3.1.0)", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "widgetsnbextension"
-version = "3.6.8"
+version = "3.6.9"
 description = "IPython HTML widgets for Jupyter"
 optional = true
 python-versions = "*"
 files = [
-    {file = "widgetsnbextension-3.6.8-py2.py3-none-any.whl", hash = "sha256:35a8c9430e370a79fabe1b79c4346362a1fac777ea523017d10d512c85d0d371"},
-    {file = "widgetsnbextension-3.6.8.tar.gz", hash = "sha256:85530f02dbb50cc961d01a119d521f356a881bddf514e5676a6f5761427ee6f5"},
+    {file = "widgetsnbextension-3.6.9-py2.py3-none-any.whl", hash = "sha256:b19b369f7643b1d09b7491c200f8798e9a40c794045c902c0db348cdc3799497"},
+    {file = "widgetsnbextension-3.6.9.tar.gz", hash = "sha256:0127f78e723eb6b01c2450f32388efda601c7e0d262c21a23af543c517b7fdf2"},
 ]
 
 [package.dependencies]
@@ -5824,15 +5966,30 @@ io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap", "scipy", "zar
 parallel = ["dask[complete]"]
 viz = ["matplotlib", "nc-time-axis", "seaborn"]
 
+[[package]]
+name = "xarray-selafin"
+version = "0.1.9"
+description = ""
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "xarray_selafin-0.1.9-py3-none-any.whl", hash = "sha256:d89775feca4b8b42e59d67f9d447d6ba886341e0711189c5dc1758b65df75f57"},
+    {file = "xarray_selafin-0.1.9.tar.gz", hash = "sha256:277e5efebefb69a31cfac5fb1464d57c401893326d4518811b7cfefda30dc0c9"},
+]
+
+[package.dependencies]
+numpy = "*"
+xarray = "*"
+
 [[package]]
 name = "xyzservices"
-version = "2024.6.0"
+version = "2024.9.0"
 description = "Source of XYZ tiles providers"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "xyzservices-2024.6.0-py3-none-any.whl", hash = "sha256:fecb2508f0f2b71c819aecf5df2c03cef001c56a4b49302e640f3b34710d25e4"},
-    {file = "xyzservices-2024.6.0.tar.gz", hash = "sha256:58c1bdab4257d2551b9ef91cd48571f77b7c4d2bc45bf5e3c05ac97b3a4d7282"},
+    {file = "xyzservices-2024.9.0-py3-none-any.whl", hash = "sha256:776ae82b78d6e5ca63dd6a94abb054df8130887a4a308473b54a6bd364de8644"},
+    {file = "xyzservices-2024.9.0.tar.gz", hash = "sha256:68fb8353c9dbba4f1ff6c0f2e5e4e596bb9e1db7f94f4f7dfbcb26e25aa66fde"},
 ]
 
 [[package]]
@@ -5858,18 +6015,22 @@ jupyter = ["ipytree (>=0.2.2)", "ipywidgets (>=8.0.0)", "notebook"]
 
 [[package]]
 name = "zipp"
-version = "3.20.0"
+version = "3.20.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.20.0-py3-none-any.whl", hash = "sha256:58da6168be89f0be59beb194da1250516fdaa062ccebd30127ac65d30045e10d"},
-    {file = "zipp-3.20.0.tar.gz", hash = "sha256:0145e43d89664cfe1a2e533adc75adafed82fe2da404b4bbb6b026c0157bdb31"},
+    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
+    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
 ]
 
 [package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
 
 [[package]]
 name = "zstandard"
@@ -5989,4 +6150,4 @@ viz = ["geoviews", "holoviews", "hvplot", "ipykernel", "itkwidgets", "matplotlib
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9, <4"
-content-hash = "38d4082978f66a07caeea2a453769bdf945b44756efeacce68699148488fe17d"
+content-hash = "884332151bece43f36a7f354b12fcf1413c934c071d73dd6e85b935f9a7fcb45"
diff --git a/pyposeidon/dem.py b/pyposeidon/dem.py
index 1273e8b9..95ee9344 100644
--- a/pyposeidon/dem.py
+++ b/pyposeidon/dem.py
@@ -88,7 +88,6 @@ def __init__(self, dem_source: str, **kwargs):
                 self.adjust(coastline, **kwargs)
 
     def adjust(self, coastline, **kwargs):
-
         tiles = kwargs.get("tiles", False)
 
         if tiles:
diff --git a/pyposeidon/dem_tools.py b/pyposeidon/dem_tools.py
index 138164aa..404375d8 100644
--- a/pyposeidon/dem_tools.py
+++ b/pyposeidon/dem_tools.py
@@ -67,9 +67,9 @@ def get_tiles(data, **kwargs):
     return perms
 
 
-def fix_dem(dem, coastline, dbuffer=0.0, **kwargs):
+def fix_dem(dem, coastline, buffer=0.0, **kwargs):
 
-    perms = get_tiles(dem, **kwargs)
+    perms = get_tiles(dem)
 
     i = 0
     check = True
@@ -78,7 +78,6 @@ def fix_dem(dem, coastline, dbuffer=0.0, **kwargs):
         os.makedirs("./fixtmp/")
 
     for (i1, i2), (j1, j2) in tqdm(perms, total=len(perms)):
-
         lon1 = dem.longitude.data[i1:i2][0]
         lon2 = dem.longitude.data[i1:i2][-1]
         lat1 = dem.latitude.data[j1:j2][0]
diff --git a/pyposeidon/misc/telemac2d.cas b/pyposeidon/misc/telemac2d.cas
new file mode 100755
index 00000000..b4e04bc1
--- /dev/null
+++ b/pyposeidon/misc/telemac2d.cas
@@ -0,0 +1,185 @@
+/-------------------------------------------------------------------/
+/   TELEMAC-2D  -  MED MESH 5KM  - TIDES USING TPXO , WINDS AND     /
+/                          GRAVITY FORCE                            /
+/-------------------------------------------------------------------/
+/
+/----------------------------------------------
+/  COMPUTER INFORMATIONS
+/----------------------------------------------
+/
+GEOMETRY FILE             = '{{geo_file}}'
+BOUNDARY CONDITIONS FILE  = '{{cli_file}}'
+RESULTS FILE =  '{{out_2D_file}}'
+BINARY ATMOSPHERIC DATA FILE =
+'{{inp_wind_file}}'
+{% if monitor %}TIME SERIES FILE 1             = '{{out_1D_file}}'
+TIME SERIES COORDINATES FILE 1 = '{{station_coords}}'{% endif %}
+/CHECKING THE MESH = YES
+/PARALLEL PROCESSORS = {{ ncsize }}
+{% if fortran %}FORTRAN FILE = 'user_fortran'
+{% endif %}
+/
+/----------------------------------------------
+/  GENERAL INFORMATIONS - OUTPUTS
+/----------------------------------------------
+/
+TITLE = '{{title}}'
+VARIABLES FOR GRAPHIC PRINTOUTS         = U,V,S / L,H,P
+GRAPHIC PRINTOUT PERIOD                 = {{tstep_graph}}
+LISTING PRINTOUT PERIOD                 = {{tstep_list}}
+TIME STEP                               = {{tstep}}
+DURATION                                = {{duration}}
+ORIGINAL DATE OF TIME                   = {{datestart}}
+ORIGINAL HOUR OF TIME                   = {{timestart}}
+MASS-BALANCE = {{ 'YES' if mass_balance else 'NO' }}
+/Determines whether a check of the mass-balance over the domain is made or not
+/
+/----------------------------------------------
+/  INITIAL CONDITIONS
+/----------------------------------------------
+/
+{% if computation_continued %}PREVIOUS COMPUTATION FILE = {{ previous_computation_file }}
+PREVIOUS COMPUTATION FILE FORMAT = 'SERAFIND'
+{% else %}
+INITIAL CONDITIONS  = '{{initial_conditions}}'     /ZERO ELEVATION,
+/                                                /CONSTANT ELEVATION,
+/                                                /INITIAL ELEVATION,
+/                                                /ZERO DEPTH,
+/                                                /CONSTANT DEPTH (together with INITIAL DEPTH),
+/                                                /SPECIAL,
+/                                                /TPXO SATELLITE ALTIMETRY{% endif %}
+/
+/---------------------------------------------------------------------
+/  CREATE RESTART CONDITIONS
+/---------------------------------------------------------------------
+{% if hotstart %}RESTART FILE = {{ restart_file }}
+/RECORD NUMBER IN RESTART FILE = {{ restart_tstep }}
+RESTART FILE FORMAT = 'SERAFIND' {% endif %}
+/
+/---------------------------------------------------------------------
+/  SPATIAL CONDITIONS - COORDINATE SYSTEM
+/---------------------------------------------------------------------
+SPHERICAL COORDINATES = {{ 'YES' if spherical_coords else 'NO' }}
+SPATIAL PROJECTION TYPE             = {{spatial_proj}}          /1=CARTESIAN, NOT GEOREFERENCED
+                                                 /2=MERCATOR
+                                                 /3=LATITUDE LONGITUDE
+/ 'Option 2 or 3 mandatory for spherical coordinates / Option 3: latitude and longitude in degrees!'
+RESULT FILE IN LONGITUDE-LATITUDE = {{ 'YES' if result_ll else 'NO' }}
+LATITUDE OF ORIGIN POINT            = {{lon_orig}}
+LONGITUDE OF ORIGIN POINT           = {{lat_orig}}
+GEOGRAPHIC SYSTEM                  = {{geo_sys}} /0="DEFINED BY USER"
+/                                                /1="WGS84 LONGITUDE/LATITUDE IN REAL DEGREES"
+/                                                /2="WGS84 NORTHERN UTM"
+/                                                /3="WGS84 SOUTHERN UTM"
+/                                                /4="LAMBERT"
+/                                                /5="MERCATOR FOR TELEMAC"
+ZONE NUMBER IN GEOGRAPHIC SYSTEM   = {{zone_no}}
+/
+/----------------------------------------------
+/  PHYSICAL PARAMETERS
+/----------------------------------------------
+/
+LAW OF BOTTOM FRICTION              = {{friction_law}}
+FRICTION COEFFICIENT                = {{friction_coef}}
+DENSITY EFFECTS = {{ 'YES' if density_effects else 'NO' }}
+CORIOLIS = {{ 'YES' if coriolis else 'NO' }}
+/ALWAYS DEFAULT WHEN TAKING SPHERICAL COORDINATES
+WATER DENSITY                       = {{water_density}}
+TURBULENCE MODEL                = {{turb_model}} /'1="CONSTANT VISCOSITY"';
+/                                                /'2="ELDER"';
+/                                                /'3="K-EPSILON MODEL"';
+/                                                /'4="SMAGORINSKI"';
+/                                                /'5="MIXING LENGTH"';
+/                                                /'6="SPALART-ALLMARAS"'
+VELOCITY DIFFUSIVITY                = {{velocity_diffusivity}}   / Sets the value of the coefficient of global (dynamic+turbulent) viscosity,
+/ this value may have a significant effect both on the shapes and sizes of recirculation zones
+BOTTOM SMOOTHINGS                   = {{no_smoothings}}          /Number of smoothings on bottom topography.
+/ Each smoothing is mass conservative. To be used when interpolation of bathymetry on the mesh gives very rough results
+/
+/----------------------------------------------
+/  WIND
+/----------------------------------------------
+/
+{% if wind %}WIND = YES     /Determines whether the wind effects are to be taken into account or not
+AIR PRESSURE = {{ 'YES' if pressure else 'NO' }}
+OPTION FOR WIND                  = {{wind_type}} /'1="constant in time and space"'; 
+/                                                /'2="variable in time given by formated file"'; 
+/                                                /'3="variable in time and space given by formated file"'
+/COEFFICIENT OF WIND INFLUENCE       = {{wind_coef}}      /Sets the value of the wind driving coefficient
+THRESHOLD DEPTH FOR WIND            = {{depth_threshold_wind}} {% endif %}
+/
+/----------------------------------------------
+/  TSUNAMI 
+/----------------------------------------------
+{% if tsunami %}OPTION FOR TSUNAMI GENERATION = YES
+PHYSICAL CHARACTERISTICS OF THE TSUNAMI = 
+{{tsunami_fault}} {% endif %}
+/
+/---------------------------------------------------------------------
+/  NUMERICAL PARAMETERS
+/---------------------------------------------------------------------
+/
+ADVECTION OF U AND V            = {{ 'YES' if adv_u_v else 'NO' }}
+DIFFUSION OF VELOCITY           = {{ 'YES' if diff_velocity else 'NO' }}
+PRECONDITIONING                 = {{preconditioning}}
+MATRIX STORAGE                  = {{matrix_storage}}
+/
+INFORMATION ABOUT SOLVER        = {{ 'YES' if info_solver else 'NO' }}
+SOLVER                          = {{solver}}
+SOLVER OPTION                   = {{solver_option}}
+/
+TYPE OF ADVECTION               = {{type_advection}} /Advection schemes for every variable
+SUPG OPTION                     = {{supg_option}} /Upwindinding schemes for every variable
+PROPAGATION                     = {{ 'YES' if propagation else 'NO' }} /Determines whether the propagation step is taken into account
+SOLVER ACCURACY                 = {{solver_accuracy}} /Required accuracy for solving the propagation step
+MATRIX-VECTOR PRODUCT           = {{matrix_vector_product}}
+MASS-LUMPING ON H               = {{mass_lumping}} /more stable, artificially smoothed
+DISCRETIZATIONS IN SPACE        = {{discretizations_space}} /(1)U,V (2)H (3)T (4)K,EPSILON
+FREE SURFACE GRADIENT COMPATIBILITY = {{surface_gradient_compatibility}}
+INITIAL GUESS FOR U             = {{initial_guess_u}}
+INITIAL GUESS FOR H             = {{initial_guess_h}}
+/
+IMPLICITATION FOR DEPTH        = {{implicitation_depth}}
+IMPLICITATION FOR VELOCITY     = {{implicitation_velocity}}
+/
+/---------------------------------------------------------------------
+/ TIDES 
+/---------------------------------------------------------------------
+/
+TIDE GENERATING FORCE                       = {{ 'YES' if tide_generating_force else 'NO' }}
+{% if tide %}
+OPTION FOR TIDAL BOUNDARY CONDITIONS = {{ tidal_boundary_conditions|repeat_value(N_bc) }}
+OPTION FOR LIQUID BOUNDARIES = {{ liquid_boundaries|repeat_value(N_bc) }}
+TIDAL DATA BASE = {{ tidal_database|repeat_value(N_bc) }}
+BINARY DATABASE 1 FOR TIDE                  = '{{db1_tide}}'
+BINARY DATABASE 2 FOR TIDE                  = '{{db2_tide}}'
+MINOR CONSTITUENTS INFERENCE                = {{ 'YES' if minor_constituents_inference else 'NO' }}
+{% endif %}
+/
+/---------------------------------------------------------------------
+/ TIDAL FLATS 
+/---------------------------------------------------------------------
+/
+TIDAL FLATS                                = {{ 'YES' if tidal_flats else 'NO' }}
+OPTION FOR THE TREATMENT OF TIDAL FLATS    = {{tidal_flats_option}}
+TREATMENT OF NEGATIVE DEPTHS               = {{negative_depths_treatment}}
+OPTION FOR THE DIFFUSION OF VELOCITIES     = {{diffusion_velocities_option}}
+CONTINUITY CORRECTION                      = {{ 'YES' if continuity_correction else 'NO' }}
+{% if friction_law_boundaries > 0 %}
+LAW OF FRICTION ON LATERAL BOUNDARIES      = {{friction_law_boundaries}}
+ROUGHNESS COEFFICIENT OF BOUNDARIES        = {{friction_coef_boundaries}}{% endif %}
+/
+/----------------------------------------------
+/ TRACERS
+/----------------------------------------------
+{% if tracer %}
+TYPE OF ADVECTION               = 14;5;14
+/
+NUMBER OF TRACERS         =     {{no_tracers}}
+/NAMES OF TRACERS                = 'TRACER 1'; 'TRACER 2'
+/
+INITIAL VALUES OF TRACERS       = 0.; 0.
+PRESCRIBED TRACERS VALUES       = 0.0;0.0 ; 0.0;0.0
+/
+DIFFUSION OF TRACERS            = True
+COEFFICIENT FOR DIFFUSION OF TRACERS = 1.;1.{% endif %}
\ No newline at end of file
diff --git a/pyposeidon/misc/telemac2d.json b/pyposeidon/misc/telemac2d.json
new file mode 100644
index 00000000..9168b5d0
--- /dev/null
+++ b/pyposeidon/misc/telemac2d.json
@@ -0,0 +1,88 @@
+{"params":
+    {
+    "geo_file": "geo.slf",
+    "cli_file": "geo.cli",
+    "out_2D_file": "results_2D.slf",
+    "out_1D_file": "results_1D.slf",
+    "station_coords": "station.in",
+    "monitor": false,
+    "inp_wind_file": "input_wind.slf",
+    "hotstart": true,
+    "restart_file": "restart_2D.slf",
+    "restart_tstep": -1,
+    "fortran": false,
+    "title": "TELEMAC 2D Model",
+    "ncsize": 1,
+    "tstep_graph": 12,
+    "tstep_list": 6,
+    "tstep": 300,
+    "duration": "None",
+    "datestart": "None",
+    "timestart": "None",
+    "mass_balance": true,
+    "no_tracers": 1,
+    "computation_continued": false,
+    "previous_computation_file": "placeholder.slf",
+    "initial_conditions": "ZERO ELEVATION",
+    "spherical_coords": true,
+    "spatial_proj": 3,
+    "result_ll": true,
+    "lon_orig": 0,
+    "lat_orig": 0,
+    "geo_sys": 5,
+    "zone_no": 33,
+    "friction_law": 2,
+    "friction_coef": 40,
+    "friction_law_boundaries": 0,
+    "friction_coef_boundaries": 40,
+    "density_effects": false,
+    "coriolis": true,
+    "water_density": 1025,
+    "turb_model": 1,
+    "velocity_diffusivity": 1.0,
+    "no_smoothings": 0,
+    "wind": true,
+    "pressure": true,
+    "wind_type": 3,
+    "wind_coef": 3.4E-6,
+    "depth_threshold_wind": 1,
+    "tsunami": false,
+    "tsunami_fault": "100.;210000.;75000.;13.6;13.;36.;13.;0.;0.;3.",
+    "adv_u_v": true,
+    "diff_velocity": true,
+    "preconditioning": 2,
+    "matrix_storage": 3,
+    "info_solver": true,
+    "solver": 7,
+    "solver_option": 3,
+    "type_advection": "13;13",
+    "supg_option": "0;0",
+    "propagation": true,
+    "solver_accuracy": "1.E-5",
+    "matrix_vector_product": 1,
+    "mass_lumping": 1,
+    "discretizations_space": "11;11",
+    "surface_gradient_compatibility": 0.5,
+    "initial_guess_u": 2,
+    "initial_guess_h": 2,
+    "implicitation_depth": 0.55,
+    "implicitation_velocity": 0.55,
+    "tide_generating_force": false,
+    "tidal_boundary_conditions": 1,
+    "liquid_boundaries": 2,
+    "tidal_database": 2,
+    "db1_tide": "TPXO/h_LOCAL",
+    "db2_tide": "TPXO/uv_LOCAL",
+    "minor_constituents_inference": true,
+    "tidal_flats": true,
+    "tidal_flats_option": 1,
+    "negative_depths_treatment": 2,
+    "diffusion_velocities_option": 1,
+    "continuity_correction": true,
+    "tracer": false,
+    "source_x": -266565,
+    "source_y": 232753,
+    "source_flow": 1,
+    "tracer_values": 1000000
+    }
+}
\ No newline at end of file
diff --git a/pyposeidon/misc/telemac3d.cas b/pyposeidon/misc/telemac3d.cas
new file mode 100755
index 00000000..980fd33b
--- /dev/null
+++ b/pyposeidon/misc/telemac3d.cas
@@ -0,0 +1,161 @@
+/-------------------------------------------------------------------/
+/   TELEMAC-3D  -  VALIDATION TEST CASE NUMBER 17 -  02/2000        /
+/                        M2 TIDE COMPONENT                          /
+/-------------------------------------------------------------------/
+/
+/----------------------------------------------
+/  COMPUTER INFORMATIONS
+/----------------------------------------------
+/
+GEOMETRY FILE             = '{{geo_file}}'
+BOUNDARY CONDITIONS FILE  = '{{cli_file}}'
+BINARY ATMOSPHERIC DATA FILE =
+'{{inp_wind_file}}'
+3D RESULT FILE =  '{{out_3D_file}}'
+2D RESULT FILE =  '{{out_2D_file}}'
+{% if monitor %}2D TIME SERIES FILE             = '{{out_1D_file_2D}}'
+3D TIME SERIES FILE             = '{{out_1D_file_3D}}'
+TIME SERIES COORDINATES FILE = '{{station_coords}}'{% endif %}
+/CHECKING THE MESH = YES
+/PARALLEL PROCESSORS = {{ ncsize }}
+{% if fortran %}FORTRAN FILE = 'user_fortran'
+{% endif %}
+/
+/----------------------------------------------
+/  GENERAL INFORMATIONS - OUTPUTS
+/----------------------------------------------
+/
+TITLE = '{{ title }}'
+VARIABLES FOR 3D GRAPHIC PRINTOUTS : 'Z,U,V,W'
+VARIABLES FOR 2D GRAPHIC PRINTOUTS : 'U,V,S'
+GRAPHIC PRINTOUT PERIOD                 = {{tstep_graph}}
+LISTING PRINTOUT PERIOD                 = {{tstep_list}}
+TIME STEP                               = {{tstep}}
+DURATION                                = {{duration}}
+ORIGINAL DATE OF TIME                   = {{datestart}}
+ORIGINAL HOUR OF TIME                   = {{timestart}}
+/NUMBER OF SUB ITERATIONS FOR NON LINEARITIES = 20
+/
+/----------------------------------------------------------------------/
+/                       INITIAL CONDITIONS
+/----------------------------------------------------------------------/
+
+{% if computation_continued %}PREVIOUS COMPUTATION FILE = {{ previous_computation_file }}
+PREVIOUS COMPUTATION FILE FORMAT = 'SERAFIND'
+{% else %}
+INITIAL CONDITIONS  = '{{initial_conditions}}'     /ZERO ELEVATION,
+/                                                /CONSTANT ELEVATION, 
+/                                                /INITIAL ELEVATION, 
+/                                                /ZERO DEPTH, 
+/                                                /CONSTANT DEPTH (together with INITIAL DEPTH), 
+/                                                /SPECIAL,  
+/                                                /TPXO SATELLITE ALTIMETRY{% endif %}
+/
+
+/---------------------------------------------------------------------
+/  CREATE RESTART CONDITIONS
+/---------------------------------------------------------------------
+{% if hotstart %}
+RESTART FILE = {{ restart_file }}
+/RECORD NUMBER IN RESTART FILE = {{ restart_tstep }}
+RESTART FILE FORMAT = 'SERAFIND' {% endif %}
+/----------------------------------------------
+/  PHYSICAL PARAMETERS
+/----------------------------------------------
+/
+LAW OF BOTTOM FRICTION                 = {{ friction_law }}
+FRICTION COEFFICIENT FOR THE BOTTOM    = {{ friction_coef }}
+TIDE GENERATING FORCE                  = {{ tide_generating_force }}
+MESH TRANSFORMATION                    = {{ mesh_transformation }} /sigma transformation default=1
+NUMBER OF HORIZONTAL LEVELS            = {{ horizontal_levels }}
+CORIOLIS                               = {{ coriolis }}
+WIND                                   = YES
+/
+/---------------------------------------------------------------------
+/  SPATIAL CONDITIONS - COORDINATE SYSTEM
+/---------------------------------------------------------------------
+SPHERICAL COORDINATES               = YES
+SPATIAL PROJECTION TYPE             = 3
+/ '1="CARTESIAN, NOT GEOREFERENCED"'; '2="MERCATOR"'; '3="LATITUDE LONGITUDE"'
+/ 'Option 2 or 3 mandatory for spherical coordinates / Option 3: latitude and longitude in degrees!'
+GEOGRAPHIC SYSTEM                   = 5          /0="DEFINED BY USER"
+/                                                /1="WGS84 LONGITUDE/LATITUDE IN REAL DEGREES"
+/                                                /2="WGS84 NORTHERN UTM"
+/                                                /3="WGS84 SOUTHERN UTM"
+/                                                /4="LAMBERT"
+/                                                /5="MERCATOR FOR TELEMAC"
+/
+RESULT FILE IN LONGITUDE-LATITUDE   = YES
+/------------------------------------------------------
+/  NUMERICAL PARAMETERS
+/----------------------------------------------
+{% if tidal_flats %}
+TIDAL FLATS                                 : YES / tidal flat correction
+OPTION FOR THE TREATMENT OF TIDAL FLATS     : 1  / equations solved everywhere with correction on tidal flats
+TREATMENT ON TIDAL FLATS FOR TRACERS        : 1
+TREATMENT OF NEGATIVE DEPTHS                : 2
+MASS-LUMPING FOR DEPTH                      : 1 
+{% endif %}
+/
+/----------------------------------------------------------------------/
+/                            ADVECTION                                 /
+/----------------------------------------------------------------------/
+/
+/ PSI scheme
+{% if tidal_flats %}
+SCHEME FOR ADVECTION OF VELOCITIES= 13
+SCHEME FOR ADVECTION OF K-EPSILON = 13
+SCHEME FOR ADVECTION OF TRACERS   = 13
+{% else %}
+SCHEME FOR ADVECTION OF VELOCITIES= 5
+SCHEME FOR ADVECTION OF K-EPSILON = 5
+SCHEME FOR ADVECTION OF TRACERS   = 5
+{% endif %}
+/- without tidal flats, use the predictor-corrector without tidal flats treatment to gain some time
+/ Predictor-corrector without tidal flats treatment
+/SCHEME OPTION FOR ADVECTION OF VELOCITIES = 2
+/SCHEME OPTION FOR ADVECTION OF K-EPSILON = 2
+/SCHEME OPTION FOR ADVECTION OF TRACERS = 2
+MAXIMUM NUMBER OF ITERATIONS FOR ADVECTION SCHEMES = 200
+/NUMBER OF CORRECTIONS OF DISTRIBUTIVE SCHEMES = 2
+/
+/----------------------------------------------------------------------/
+/                           DIFFUSION                                  /
+/----------------------------------------------------------------------/
+/
+SCHEME FOR DIFFUSION OF VELOCITIES              = 1  /default implicit (0 value cancels diffusion)
+/SCHEME FOR DIFFUSION OF TRACERS                 = 1
+SCHEME FOR DIFFUSION OF K-EPSILON               = 1
+IMPLICITATION FOR DIFFUSION                     = 1 /default
+/MAXIMUM NUMBER OF ITERATIONS FOR DIFFUSION OF VELOCITIES = 200
+/DIFFUSION STEP		
+/---------------------------------------------------------------------/
+/                         PROPAGATION                                 /
+/---------------------------------------------------------------------/
+/
+FREE SURFACE GRADIENT COMPATIBILITY             = {{ surface_gradient_compatibility }}     /only used with wave equation
+IMPLICITATION FOR DEPTH                         = {{ implicitation_depth }}    /default 
+IMPLICITATION FOR VELOCITIES                    = {{ implicitation_velocity }} /default (value < 0.5 makes unstable)
+INITIAL GUESS FOR DEPTH                         = {{ initial_guess_h }}        /default (choice 0,1 or 2) speeds up computation
+/MAXIMUM NUMBER OF ITERATIONS FOR PROPAGATION    = 500
+DYNAMIC PRESSURE IN WAVE EQUATION = YES
+/----------------------------------------------------------------------/
+/                           LINEAR SOLVERS                             /
+/----------------------------------------------------------------------/
+SOLVER FOR PROPAGATION                          = {{ solver }} /keuze uit 1-8
+SOLVER FOR PPE                                  = {{ solver_ppe }}
+OPTION OF SOLVER FOR PROPAGATION                = {{ solver_option }}
+/SOLVER FOR DIFFUSION OF TRACERS                 =1;1  /mudei de 3 para 7 
+SOLVER FOR DIFFUSION OF VELOCITIES              = {{ solver }} /default choice from 1-8
+SOLVER FOR DIFFUSION OF K-EPSILON	            = 1
+OPTION OF SOLVER FOR DIFFUSION OF VELOCITIES    = 10
+OPTION OF SOLVER FOR DIFFUSION OF TRACERS       = 10
+/----------------------------------------------------------------------/
+/                           ACCURACY                                   /
+/----------------------------------------------------------------------/
+/ACCURACY FOR PROPAGATION              = 1.E-3   /default E-6
+/ACCURACY FOR PPE                      = 1.E-3   /default E-6
+/ACCURACY FOR DIFFUSION OF VELOCITIES  = 1.E-3   /default E-6
+/ACCURACY FOR DIFFUSION OF K-EPSILON   = 1.E-8  
+/ACCURACY FOR DIFFUSION OF TRACERS     = 1.E-8  
+/ACCURACY FOR DIFFUSION OF SEDIMENT    = 1.E-8
\ No newline at end of file
diff --git a/pyposeidon/misc/telemac3d.json b/pyposeidon/misc/telemac3d.json
new file mode 100644
index 00000000..3b51e0c7
--- /dev/null
+++ b/pyposeidon/misc/telemac3d.json
@@ -0,0 +1,92 @@
+{"params":
+    {
+    "geo_file": "geo.slf",
+    "cli_file": "geo.cli",
+    "out_3D_file": "results_3D.slf",
+    "out_2D_file": "results_2D.slf",
+    "out_1D_file_2D": "results_1D_2D.slf",
+    "out_1D_file_3D": "results_1D_3D.slf",
+    "station_coords": "station.in",
+    "monitor": false,
+    "inp_wind_file": "input_wind.slf",
+    "hotstart": true,
+    "restart_file": "restart_2D.slf",
+    "restart_tstep": -1,
+    "fortran": false,
+    "title": "TELEMAC 2D Model",
+    "ncsize": 1,
+    "tstep_graph": 12,
+    "tstep_list": 6,
+    "tstep": 300,
+    "duration": "None",
+    "datestart": "None",
+    "timestart": "None",
+    "mass_balance": true,
+    "no_tracers": 1,
+    "computation_continued": false,
+    "previous_computation_file": "placeholder.slf",
+    "initial_conditions": "ZERO ELEVATION",
+    "spherical_coords": true,
+    "spatial_proj": 3,
+    "result_ll": true,
+    "lon_orig": 0,
+    "lat_orig": 0,
+    "geo_sys": 5,
+    "zone_no": 33,
+    "friction_law": 5,
+    "friction_coef": 0.03,
+    "friction_law_boundaries": 0,
+    "friction_coef_boundaries": 40,
+    "tide_generating_force": false,
+    "mesh_transformation":1,
+    "horizontal_levels": 5,
+    "coriolis": true,
+    "water_density": 1025,
+    "turb_model": 1,
+    "velocity_diffusivity": 1.0,
+    "no_smoothings": 0,
+    "wind": true,
+    "pressure": true,
+    "wind_type": 3,
+    "wind_coef": 3.4E-6,
+    "depth_threshold_wind": 1,
+    "tsunami": false,
+    "tsunami_fault": "100.;210000.;75000.;13.6;13.;36.;13.;0.;0.;3.",
+    "adv_u_v": true,
+    "diff_velocity": true,
+    "preconditioning": 2,
+    "matrix_storage": 3,
+    "info_solver": true,
+    "solver": 7,
+    "solver_ppe": 6,
+    "solver_option": 4,
+    "type_advection": "13;13",
+    "supg_option": "0;0",
+    "propagation": true,
+    "solver_accuracy": "1.E-5",
+    "matrix_vector_product": 1,
+    "mass_lumping": 1,
+    "discretizations_space": "11;11",
+    "surface_gradient_compatibility": 0.05,
+    "implicitation_depth": 0.95,
+    "implicitation_velocity": 0.95,
+    "initial_guess_u": 2,
+    "initial_guess_h": 2,
+    "tidal_boundary_conditions": 1,
+    "liquid_boundaries": 2,
+    "tidal_database": 2,
+    "db1_tide": "TPXO/h_LOCAL",
+    "db2_tide": "TPXO/uv_LOCAL",
+    "minor_constituents_inference": true,
+    "tidal_flats": false,
+    "tidal_flats_option": 1,
+    "negative_depths_treatment": 2,
+    "diffusion_velocities_option": 1,
+    "continuity_correction": true,
+    "tracer": false,
+    "source_x": -266565,
+    "source_y": 232753,
+    "source_flow": 1,
+    "tracer_values": 1000000
+    }
+}
\ No newline at end of file
diff --git a/pyposeidon/misc/tomawac.cas b/pyposeidon/misc/tomawac.cas
new file mode 100755
index 00000000..e3745965
--- /dev/null
+++ b/pyposeidon/misc/tomawac.cas
@@ -0,0 +1,87 @@
+/                TOMAWAC INPUT FILE DEFINITIONS
+/********************************************************************
+GEOMETRY FILE : '{{geo_file}}'
+BOUNDARY CONDITIONS FILE : '{{cli_file}}'
+BINARY WINDS FILE : '{{inp_wind_file}}'
+WINDS FILE FORMAT : {{wind_file_format}}
+{% if hotstart %}GLOBAL RESULT FILE = {{ restart_file }}
+{% endif %}
+{% if fortran %}FORTRAN FILE = 'user_fortran'
+{% endif %}
+/------------------------------------------------------------------/
+2D RESULTS FILE : '{{out_2D_file}}'
+2D RESULTS FILE FORMAT : 'SERAFIN'
+{% if monitor %}TIME SERIES FILE             = '{{out_1D_file}}'
+TIME SERIES COORDINATES FILE = '{{station_coords}}'{% endif %}
+/------------------------------------------------------------------/
+/			COMPUTATION_ENVIRONMENT
+/------------------------------------------------------------------/
+TITLE : '{{title}}'
+PERIOD FOR LISTING PRINTOUTS : {{tstep_list}}
+PERIOD FOR GRAPHIC PRINTOUTS : {{tstep_graph}}
+VARIABLES FOR 2D GRAPHIC PRINTOUTS : HM0;DMOY;TMOY;TPD;SPD;TPR8
+
+/------------------------------------------------------------------/
+/			GENERAL_PARAMETERS
+/------------------------------------------------------------------/
+NAMES OF VARIABLES : 'PATM            UI              ';
+'TAIR            DEGREES         ';
+'WINDX           M/S             ';
+'WINDY           M/S             '
+NUMBER OF TIME STEP : {{nb_tsteps}}
+TIME STEP : {{tstep}}
+DATE OF COMPUTATION BEGINNING : {{datestart}}
+
+/***** DISCRETISATION *****
+NUMBER OF DIRECTIONS  : {{num_directions}}
+MINIMAL FREQUENCY     : {{min_frequency}}
+FREQUENTIAL RATIO     : {{freq_ratio}}
+NUMBER OF FREQUENCIES : {{num_frequencies}}
+
+CONSIDERATION OF A STATIONARY CURRENT : {{stationary_current}}
+CONSIDERATION OF A WIND : {{consider_wind}}
+STATIONARY WIND : {{stationary_wind}}
+CONSIDERATION OF TIDE : {{consider_tide}}
+MINIMUM WATER DEPTH : {{min_water_depth}}
+SPHERICAL COORDINATES : {{spherical_coordinates}}
+INFINITE DEPTH : {{infinite_depth}}
+/
+/------------------------------------------------------------------/
+/			SOURCES/SINKS CONDITIONS
+/------------------------------------------------------------------/
+BAJ MODELING : {{baj_modeling}}
+CONSIDERATION OF SOURCE TERMS : {{consider_source_terms}}
+WIND GENERATION : {{wind_generation}}
+WIND GENERATION COEFFICIENT : {{wind_gen_coef}}
+AIR DENSITY : {{air_density}}
+WATER DENSITY : {{water_density}}
+WIND DRAG COEFFICIENT : {{wind_drag_coef}}
+VON KARMAN CONSTANT : {{von_karman_const}}
+SHIFT GROWING CURVE DUE TO WIND : {{shift_growing_curve}}
+LINEAR WAVE GROWTH : {{linear_wave_growth}}
+WHITE CAPPING DISSIPATION : {{whitecap_diss}}
+WHITE CAPPING DISSIPATION COEFFICIENT : {{whitecap_diss_coef}}
+WHITE CAPPING WEIGHTING COEFFICIENT : {{whitecap_diss_wgt}}
+BOTTOM FRICTION DISSIPATION : {{bottom_friction_diss}}
+BOTTOM FRICTION COEFFICIENT : {{bottom_friction_coef}}
+STANDARD CONFIGURATION PARAMETER : {{standard_config_param}}
+NUMBER OF ITERATIONS FOR THE SOURCE TERMS : {{source_terms_iterations}}
+DISSIPATION BY STRONG CURRENT : {{dissipation_strong_current}}
+DEPTH-INDUCED BREAKING DISSIPATION : {{depth_induced_breaking_diss}}
+NUMBER OF BREAKING TIME STEPS : {{breaking_time_steps}}
+MAXIMUM VALUE OF THE RATIO HM0 ON D : {{max_ratio_hm0_d}}
+WAVE GROWTH LIMITER : {{wave_growth_limiter}}
+TRIAD INTERACTIONS : {{triad_interactions}}
+NON-LINEAR TRANSFERS BETWEEN FREQUENCIES : {{nonlinear_transfers_freq}}
+/VEGETATION TAKEN INTO ACCOUNT : {{vegetation_account}}
+/------------------------------------------------------------------/
+/			BOUNDARY_CONDITIONS
+/------------------------------------------------------------------/
+/
+/------------------------------------------------------------------/
+/			INITIAL_CONDITIONS
+/------------------------------------------------------------------/
+/
+{% if computation_continued %}
+PREVIOUS COMPUTATION FILE = {{ previous_computation_file }}
+{% endif %}
\ No newline at end of file
diff --git a/pyposeidon/misc/tomawac.json b/pyposeidon/misc/tomawac.json
new file mode 100644
index 00000000..052feb7a
--- /dev/null
+++ b/pyposeidon/misc/tomawac.json
@@ -0,0 +1,58 @@
+{"params":
+  {
+    "geo_file": "geo.slf",
+    "cli_file": "geo.cli",
+    "inp_wind_file": "input_wind.slf",
+    "wind_file_format": 3,
+    "out_2D_file": "results_2D.slf",
+    "out_1D_file": "results_1D.slf",
+    "station_coords": "station.in",
+    "computation_continued": false,
+    "previous_computation_file": "placeholder.slf",
+    "fortran": false,
+    "hotstart": true,
+    "restart_file": "restart_2D.slf",
+    "title": "TOMAWAC Model Simulation",
+    "tstep_list": 3600,
+    "tstep_graph": 3600,
+    "nb_tsteps": 100,
+    "tstep": 60,
+    "datestart": "YYYY/MM/DD",
+    "num_directions": 24,
+    "min_frequency": 0.03,
+    "freq_ratio": 1.1,
+    "num_frequencies": 31,
+    "stationary_current": "NO",
+    "consider_wind": "YES",
+    "stationary_wind": "NO",
+    "consider_tide": "NO",
+    "min_water_depth": 0.1,
+    "spherical_coordinates": "YES",
+    "infinite_depth": "NO",
+    "baj_modeling": 0,
+    "consider_source_terms": "YES",
+    "wind_generation": 1,
+    "wind_gen_coef": 1.2,
+    "air_density": 1.225,
+    "water_density": 1026.0,
+    "wind_drag_coef": 0.0012875,
+    "von_karman_const": 0.41,
+    "shift_growing_curve": 0.011,
+    "linear_wave_growth": 1,
+    "whitecap_diss": 1,
+    "whitecap_diss_coef": 0.04,
+    "whitecap_diss_wgt": 1.0,
+    "bottom_friction_diss": 1,
+    "bottom_friction_coef": 0.038,
+    "standard_config_param": 0.25,
+    "source_terms_iterations": 1,
+    "dissipation_strong_current": 0,
+    "depth_induced_breaking_diss": 1,
+    "breaking_time_steps": 1,
+    "max_ratio_hm0_d": 1.0,
+    "wave_growth_limiter": 1,
+    "triad_interactions": 0,
+    "nonlinear_transfers_freq": 1,
+    "vegetation_account": "NO"
+  }
+}
diff --git a/pyposeidon/telemac.py b/pyposeidon/telemac.py
new file mode 100644
index 00000000..a97739f8
--- /dev/null
+++ b/pyposeidon/telemac.py
@@ -0,0 +1,1544 @@
+"""
+TELEMAC model of pyposeidon. It controls the creation, execution & output  of a complete simulation based on SCHISM.
+
+"""
+
+# Copyright 2018 European Union
+# This file is part of pyposeidon.
+# Licensed under the EUPL, Version 1.2 or – as soon they will be approved by the European Commission - subsequent versions of the EUPL (the "Licence").
+# Unless required by applicable law or agreed to in writing, software distributed under the Licence is distributed on an "AS IS" basis, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the Licence for the specific language governing permissions and limitations under the Licence.
+
+import os
+import datetime
+import numpy as np
+import sys
+import json
+import pandas as pd
+import glob
+import xarray as xr
+import geopandas as gp
+import shapely
+import jinja2
+from searvey import ioc
+import shutil
+import typing as T
+from scipy.spatial import Delaunay
+import dask.array as da
+
+# local modules
+import pyposeidon
+import pyposeidon.mesh as pmesh
+import pyposeidon.meteo as pmeteo
+import pyposeidon.dem as pdem
+from pyposeidon.paths import DATA_PATH
+from pyposeidon.utils.get_value import get_value
+from pyposeidon.utils.converter import myconverter
+from pyposeidon.utils.cpoint import find_nearest_nodes
+from pyposeidon.utils.cpoint import get_weights
+from pyposeidon.utils.cpoint import interp
+from pyposeidon.utils import data
+from pyposeidon.utils.norm import normalize_column_names
+from pyposeidon.utils.norm import normalize_varnames
+from pyposeidon.utils.obs import serialize_stations
+from pyposeidon.utils.post import export_xarray
+from pyposeidon.utils.post import remove
+from pyposeidon.utils.cast import copy_files
+
+# telemac (needs telemac stack on conda)
+from telapy.api.t2d import Telemac2d
+from telapy.api.t3d import Telemac3d
+from telapy.api.art import Artemis
+from telapy.api.wac import Tomawac
+from execution.telemac_cas import TelemacCas
+from data_manip.formats.selafin import Selafin
+from data_manip.extraction.telemac_file import TelemacFile
+from utils.progressbar import ProgressBar
+from pretel.manip_telfile import spherical2longlat
+from pretel.manip_telfile import longlat2spherical
+from pretel.extract_contour import extract_boundaries
+from pretel.extract_contour import sort_contours
+from pretel.extract_contour import signed_area
+from collections import defaultdict
+from xarray_selafin.xarray_backend import SelafinAccessor
+from mpi4py import MPI
+
+import numpy as np
+
+import logging
+
+from . import tools
+
+# Types
+ResultTypes = T.Literal["1D", "2D", "3D"]
+
+logger = logging.getLogger(__name__)
+
+
+TELEMAC_NAME = "telemac"
+
+
+def divisors(n):
+    result = set()
+    for i in range(1, int(n**0.5) + 1):
+        if n % i == 0:
+            result.add(i)
+            result.add(n // i)
+    return sorted(result)
+
+
+def calculate_time_step_hourly_multiple(resolution, min_water_depth=0.1, courant_number=50):
+    """
+    Calculate the maximum allowable time step for a shallow water equation model
+    based on the CFL condition, rounded to the closest divisor of an hour.
+
+    :param resolution: Spatial resolution (Δx) in meters
+    :param min_water_depth: Minimum water depth (h_min) in meters. Default is 1 meter.
+    :param courant_number: Courant number (C), typically less than 1 for explicit schemes. Can be higher for implicit schemes.
+    :return: Maximum allowable time step (Δt) in seconds, rounded to the closest divisor of an hour.
+    """
+    resolution *= 111.389  # degrees to meters conversion factor
+    raw_time_step = courant_number * resolution / (9.81 * min_water_depth) ** 0.5
+    # Get all divisors of an hour (3600 seconds)
+    hour_divisors = divisors(3600)
+    # Find the closest divisor of an hour to the raw time step
+    closest_divisor = min(hour_divisors, key=lambda x: abs(x - raw_time_step))
+    return closest_divisor
+
+
+# Helper functions
+def df_to_gpd(df, x: str = "longitude", y: str = "latitude"):
+    gpdf = gp.GeoDataFrame(
+        df,
+        geometry=gp.points_from_xy(
+            df[x],
+            df[y],
+        ),
+        crs="EPSG:4326",
+    )
+    return gpdf
+
+
+def xy_to_ll(x, y):
+    gpdf = gp.GeoDataFrame(geometry=gp.points_from_xy(x, y), crs="EPSG:3857").to_crs("EPSG:4326")
+    return gpdf.geometry.x, gpdf.geometry.y
+
+
+def is_ccw(tris, meshx, meshy):
+    x1, x2, x3 = meshx[tris].T
+    y1, y2, y3 = meshy[tris].T
+    return (y3 - y1) * (x2 - x1) > (y2 - y1) * (x3 - x1)
+
+
+def flip(tris):
+    return np.column_stack((tris[:, 2], tris[:, 1], tris[:, 0]))
+
+
+def is_overlapping(tris, meshx):
+    PIR = 180
+    x1, x2, x3 = meshx[tris].T
+    return np.logical_or(abs(x2 - x1) > PIR, abs(x3 - x1) > PIR, abs(x3 - x3) > PIR)
+
+
+def get_det_mask(tris, meshx, meshy):
+    t12 = meshx[tris[:, 1]] - meshx[tris[:, 0]]
+    t13 = meshx[tris[:, 2]] - meshx[tris[:, 0]]
+    t22 = meshy[tris[:, 1]] - meshy[tris[:, 0]]
+    t23 = meshy[tris[:, 2]] - meshy[tris[:, 0]]
+    return t12 * t23 - t22 * t13 > 0
+
+
+def contains_pole(x, y):
+    return np.any(y == 90, axis=0)
+
+
+def flip_triangles(x, y, ikle2, corrections):
+    # Assuming slf.meshx, slf.meshy, and slf.ikle2 are NumPy arrays
+    ikle2 = np.array(ikle2)
+    # Ensure all triangles are CCW
+    ccw_mask = is_ccw(ikle2, x, y)
+    ikle2[~ccw_mask] = flip(ikle2[~ccw_mask])
+
+    # triangles accross the dateline
+    m_ = is_overlapping(ikle2, x)
+    ikle2[m_] = flip(ikle2[m_])
+
+    # manual additional corrections
+    if corrections is not None:
+        for rev in corrections["reverse"]:
+            ikle2[rev : rev + 1] = flip(ikle2[rev : rev + 1])
+
+    # Check for negative determinant
+    detmask = ~get_det_mask(ikle2, x, y)
+    logger.debug(f"reversed {detmask.sum()} triangles")
+    logger.debug("[TEMPORARY FIX]: REMOVE THE POLE TRIANGLES")
+    return ikle2
+
+
+def remove_pole_triangles(x, y, ikle2, corrections):
+    # Assuming slf.meshx, slf.meshy, and slf.ikle2 are NumPy arrays
+    ikle2 = np.array(ikle2)
+    pole_mask = contains_pole(x[ikle2].T, y[ikle2].T)
+    # manual additional corrections
+    if corrections is not None:
+        for rem in corrections["remove"]:
+            pole_mask[rem] = True
+
+    logger.debug(f"pole triangles: {np.where(pole_mask)[0]}")
+    logger.debug("[TEMPORARY FIX]: REMOVE THE POLE TRIANGLES")
+    return ikle2[~pole_mask, :]
+
+
+def write_netcdf(ds, outpath):
+    fileOut = os.path.splitext(outpath)[0] + ".nc"
+    ds.to_netcdf(fileOut)
+
+
+def extract_t_elev_2D(
+    ds: xr.Dataset,
+    x: float,
+    y: float,
+    var: str = "elev",
+    xstr: str = "longitude",
+    ystr: str = "latitude",
+    max_dist: float = 1000,
+):
+    lons, lats = ds[xstr].values, ds[ystr].values
+    mesh = pd.DataFrame(np.vstack([x, y]).T, columns=["lon", "lat"])
+    points = pd.DataFrame(np.vstack([lons, lats]).T, columns=["lon", "lat"])
+    df = find_nearest_nodes(mesh, points, 1)
+    df = df[df.distance < max_dist]
+    indx = df["mesh_index"]
+    ds_ = ds.isel(node=indx.values[0])
+    out_ = ds_[var].values
+    t_ = [pd.Timestamp(ti) for ti in ds_.time.values]
+    return pd.Series(out_, index=t_), float(ds_[xstr]), float(ds_[ystr])
+
+
+# Function to subset ERA data based on the mesh extent
+def subset_era_from_mesh(
+    era: xr.Dataset,
+    mesh: xr.Dataset,
+    input360: bool,
+    gtype: str,
+) -> xr.Dataset:
+    """
+    Selects a subset of ERA data that overlaps with the provided mesh's geographical extent.
+
+    :param era: The ERA dataset from which to select a subset.
+    :param mesh: The mesh dataset defining the geographical extent for the subset selection.
+    :param input360: A flag indicating whether the longitude should be adjusted to a 0-360 range.
+    :return: A subset of the ERA dataset that falls within the mesh's geographical extent.
+    """
+    xmin, xmax, ymin, ymax = mesh.x.min(), mesh.x.max(), mesh.y.min(), mesh.y.max()
+    if input360:
+        xmin, xmax = np.mod(xmin + 360, 360), np.mod(xmax + 360, 360)
+        if xmax <= xmin:
+            xmin, xmax = 0, 360
+    if gtype == "grid":
+        era_chunk = era.sel(longitude=slice(xmin, xmax), latitude=slice(ymax, ymin))
+    else:  # for 01280 grid
+        mask_lon = (era.longitude >= xmin) & (era.longitude <= xmax)
+        mask_lat = (era.latitude >= ymin) & (era.latitude <= ymax)
+        mask = mask_lon & mask_lat
+        indices = np.where(mask)[0]
+        era_chunk = era.isel(values=indices)
+    return era_chunk
+
+
+# Function to write meteorological data onto a mesh
+def write_meteo_on_mesh(
+    era_ds: xr.Dataset,
+    mesh: xr.Dataset,
+    file_out: str,
+    n_time_chunk: int,
+    n_node_chunk: int,
+    input360: bool = True,
+    gtype: str = "grid",
+    ttype: str = "time",
+) -> None:
+    """
+    Writes meteorological data from an ERA dataset onto a mesh and saves the result as a zarr file.
+
+    :param era_ds: The ERA dataset with the meteorological data.
+    :param mesh: The mesh dataset representing the spatial domain.
+    :param file_out: The path to the output zarr file.
+    :param n_time_chunk: The size of the time chunks for processing.
+    :param n_node_chunk: The size of the node chunks for processing.
+    :param input360: A flag indicating whether the longitude should be adjusted to a 0-360 range.
+    """
+    # Create the temporary dummy zarr file
+    if os.path.exists(file_out):
+        shutil.rmtree(file_out)
+    x, y, tri = mesh.x.values, mesh.y.values, mesh.attrs["ikle2"] - 1
+    nnodes = len(x)
+    ntimes = len(era_ds.time)
+    zero = da.zeros((ntimes, nnodes), chunks=(n_time_chunk, n_node_chunk))
+
+    # Define coordinates and data variables for the output dataset
+    coords = {
+        "time": era_ds.time,
+        "node": np.arange(nnodes),
+        "lon": ("node", x),
+        "lat": ("node", y),
+        "triface_nodes": (("face_nodes", "three"), tri),
+    }
+    data_vars = {}
+    for varin in era_ds.data_vars:
+        data_vars[varin] = (("time", "node"), zero)
+    xr.Dataset(data_vars=data_vars, coords=coords).to_zarr(file_out, compute=False)
+
+    # in the case of "tstps"
+    if ttype == "step":
+        t0 = pd.Timestamp(era_ds.time.values)
+        seconds = era_ds.step.values / 1e9
+        era_ds.time = pd.to_datetime(t0 + pd.Timedelta(seconds=seconds))
+
+    # Iterate over nodes in chunks and write data to zarr file
+    for ins in range(0, nnodes, n_node_chunk):
+        end_node = min(ins + n_node_chunk, nnodes)
+        node_chunk = np.arange(ins, end_node)
+        mesh_chunk = mesh.isel(node=slice(ins, end_node))
+        era_chunk = subset_era_from_mesh(era_ds, mesh_chunk, input360=input360, gtype=gtype)
+
+        # drop needless coords
+        main_coords = [c for c in era_chunk.coords]
+        main_dims = [d for d in era_chunk.dims]
+
+        # Get weights for interpolation
+        if gtype == "grid":
+            nx1d = len(era_chunk.longitude)
+            ny1d = len(era_chunk.latitude)
+            xx = np.tile(era_chunk.longitude, ny1d).reshape(ny1d, nx1d).T.ravel()
+            yy = np.tile(era_chunk.latitude, nx1d)
+        else:  # for O1280 grids
+            main_dims.extend(["longitude", "latitude"])
+            xx = era_chunk.longitude.compute()
+            yy = era_chunk.latitude.compute()
+
+        drop_coords = set(main_coords) - set(main_dims)
+        era_chunk = era_chunk.drop_vars(drop_coords)
+
+        if input360:
+            xx[xx > 180] -= 360
+        in_xy = np.vstack((xx, yy)).T
+        out_xy = np.vstack((mesh_chunk.x, mesh_chunk.y)).T
+
+        logger.debug("computing weigths for interpolation..")
+        vert, wgts, u_x, g_x = get_weights(in_xy, out_xy)
+
+        # Interpolate and write data for each variable and time chunk
+        for var_name in era_chunk.data_vars:
+            for it_chunk in range(0, ntimes, n_time_chunk):
+                t_end = min(it_chunk + n_time_chunk, ntimes)
+                time_chunk = era_chunk.time[it_chunk:t_end]
+                data_chunk = da.zeros((len(time_chunk), len(node_chunk)), chunks=(n_time_chunk, n_node_chunk))
+                for it, t_ in enumerate(time_chunk):
+                    tmp = np.ravel(np.transpose(era_chunk.isel(time=it_chunk + it)[var_name].values))
+                    data_chunk[it, :] = interp(tmp, vert, wgts, u_x, g_x)
+                coords = {"time": time_chunk, "node": node_chunk}
+                ds = xr.Dataset({var_name: (("time", "node"), data_chunk)}, coords=coords)
+                region = {"time": slice(it_chunk, t_end), "node": slice(ins, end_node)}
+                ds.to_zarr(file_out, mode="a", region=region)
+
+
+def write_meteo_selafin(outpath, input_atm_zarr):
+    xatm = xr.open_dataset(input_atm_zarr, engine="zarr")
+    t0 = pd.Timestamp(xatm.time.values[0])
+    # Define a mapping from the original variable names to the new ones
+    var_map = {
+        "u10": ("WINDX", "M/S"),
+        "v10": ("WINDY", "M/S"),
+        "msl": ("PATM", "PASCAL"),
+        "tmp": ("TAIR", "DEGREES C"),
+    }
+    var_attrs = {}
+    for var in xatm.data_vars:
+        if var in var_map:
+            # Attributes for the variable
+            var_attrs[var] = (var_map[var][0], var_map[var][1])
+    # Add global attributes after concatenation
+    xatm.attrs["date_start"] = [t0.year, t0.month, t0.day, t0.hour, t0.minute, t0.second]
+    xatm.attrs["ikle2"] = xatm.triface_nodes.values + 1
+    xatm.attrs["variables"] = {var: attrs for var, attrs in var_attrs.items()}
+    xatm = xatm.rename({"lon": "x", "lat": "y"})
+    xatm = xatm.drop_vars(["triface_nodes"])
+    xatm.selafin.write(outpath)
+    remove(input_atm_zarr)
+
+
+def get_boundary_settings(boundary_type, glo_node, bnd_node, module):
+    if module in ["telemac2d", "telemac3d", "tomawac"]:
+        settings = {
+            "lihbor": 5 if boundary_type == "open" else 2,
+            "liubor": 6 if boundary_type == "open" else 2,
+            "livbor": 6 if boundary_type == "open" else 2,
+            "hbor": 0.0,
+            "ubor": 0.0,
+            "vbor": 0.0,
+            "aubor": 0.0,
+            "litbor": 5 if boundary_type == "open" else 2,
+            "tbor": 0.0,
+            "atbor": 0.0,
+            "btbor": 0.0,
+            "nbor": glo_node + 1,
+            "k": bnd_node + 1,
+        }
+    return settings
+
+
+def format_value(value, width, precision=3, is_float=False):
+    if is_float:
+        return f"{value:{5}.{precision}f}"
+    else:
+        return f"{value:{2}}"
+
+
+def get_first_point(ds, bnd_points):
+    """
+    Determine the southwest points among points given trough their indexes
+
+    @param ds (xr.Dataset) dataset files
+    @param bnd_points (numpy array of shape (number of points)) contains indexes
+    of points
+    @return first_bnd_pt_index (integer) index of the southwest point
+    """
+
+    x_plus_y = ds.node_x[bnd_points] + ds.node_y[bnd_points]
+
+    southwest_bnd_pts_index = bnd_points[
+        np.where(x_plus_y == x_plus_y.min())[0]
+    ]
+
+    if southwest_bnd_pts_index.shape[0] == 1:
+        first_bnd_pt_index = southwest_bnd_pts_index[0]
+    else:
+        first_bnd_pt_index = southwest_bnd_pts_index[
+            np.where(
+                ds.node_x[southwest_bnd_pts_index]
+                == ds.node_x[southwest_bnd_pts_index].min()
+            )[0][0]
+        ]
+
+    return first_bnd_pt_index
+
+
+def extract_contour(ds: xr.Dataset):
+    """
+    Generic function for extraction of contour from a mesh
+    @param ds (xr.Dataset) dataset files
+    @returns (list) List of polygons
+    """
+    vertices = np.vstack((ds.node_x, ds.node_y)).T
+
+    # Extract boundary edges and nodes
+    boundary_edges = extract_boundaries(ds.face_nodes.values)
+    boundary_nodes = set(np.unique(np.hstack(boundary_edges)))
+
+    # Create a list of the neighbours of each node for quick search
+    node_neighbours = defaultdict(set)
+    for edge in boundary_edges:
+        node_neighbours[edge[0]].add(edge[1])
+        node_neighbours[edge[1]].add(edge[0])
+
+    # Group boundary nodes coordinates into contours
+    contours = []
+    contours_idx = []
+    while len(boundary_nodes) > 0:
+        next_vertex = get_first_point(ds, np.array(list(boundary_nodes)))
+        boundary_nodes.remove(next_vertex)
+        contour_idx = [next_vertex]
+        contour = [vertices[next_vertex].tolist()]
+        while True:
+            neighbours = node_neighbours[next_vertex].intersection(
+                boundary_nodes
+            )
+            if len(neighbours) == 0:
+                break
+            next_vertex = neighbours.pop()
+            boundary_nodes.remove(next_vertex)
+            contour.append(vertices[next_vertex].tolist())
+            contour_idx.append(next_vertex)
+
+        # Ensure the contour is closed and append it to the list of contours
+        contour.append(contour[0])
+        contour_idx.append(contour_idx[0])
+        contours.append(contour)
+        contours_idx.append(contour_idx)
+
+    # Build the list of domains while ensuring proper contours orientation
+    sorted_contours = sort_contours(contours)
+    domains = []
+    domains_idx = []
+    for outer, inners in sorted_contours.items():
+        contour = contours[outer]
+        contour_idx = contours_idx[outer]
+        area = signed_area(contour)
+        if area < 0:
+            contour = contour[::-1]
+            contour_idx = contour_idx[::-1]
+        domains.append(contour)
+        domains_idx.append(contour_idx)
+        if len(inners) > 0:
+            for i in inners:
+                contour = contours[i]
+                contour_idx = contours_idx[i]
+                area = signed_area(contour)
+                if area > 0:
+                    contour = contour[::-1]
+                    contour_idx = contour_idx[::-1]
+                domains.append(contour)
+                domains_idx.append(contour_idx)
+        
+
+    return domains, domains_idx
+
+def export_cli(ds: xr.Dataset, tel_path: str, outCli: str, tel_module: str = "telemac2d"):
+    """
+    (This function is a modification of the existing extract_contour() function
+    in scripts/python3/pretel/extract_contour.py of the TELEMAC scripts)
+
+    Generic function for extraction of contour from a mesh (with our without
+    boundary file)
+
+    @param ds (xr.Dataset) xarray Dataset of the mesh file (used to extract the boundary types)
+    @param geo (str) path to the Telemac geo file
+    @param outCli (str) Path to the output contour file
+
+    @returns (list) List of polygons
+    """
+    # normalise
+    ds = ds.rename(
+        {
+            "SCHISM_hgrid_node_x": "node_x",
+            "SCHISM_hgrid_node_y": "node_y",
+            "SCHISM_hgrid_face_nodes": "face_nodes",
+        }
+    )
+    #
+    node_to_type = dict(zip(ds.bnodes.values, ds.type.values))
+    domains_bnd = []
+    lines = []
+    bnd_node = 0
+    contours, contours_idx = extract_contour(ds)
+    for bnd in contours_idx:
+        poly_bnd = []
+        coord_bnd = []
+        for i, glo_node in enumerate(bnd[:-1]):  # not taking the last node (not repeating)
+            x, y = ds.node_x[glo_node], ds.node_y[glo_node]
+            coord_bnd.append((x, y))
+            # Determine boundary type for the current node
+            boundary_type = node_to_type.get(glo_node, "Unknown")
+            if boundary_type == "open":
+                # Get previous and next node indices in a circular manner
+                prev_node = bnd[i - 1] if i > 0 else bnd[-2]  # -2 to skip the repeated last node
+                next_node = bnd[i + 1] if i < len(bnd) - 2 else bnd[0]  # Wrapping around to the first node
+                # Get boundary types for previous and next nodes
+                prev_boundary_type = node_to_type.get(prev_node, "Unknown")
+                next_boundary_type = node_to_type.get(next_node, "Unknown")
+                # If both adjacent nodes are not 'open', then bnd is closed
+                if prev_boundary_type != "open" and next_boundary_type != "open":
+                    boundary_type = "Unknown"
+            boundary_settings = get_boundary_settings(boundary_type, glo_node, bnd_node, tel_module)
+
+            keys_order = [
+                "lihbor",
+                "liubor",
+                "livbor",
+                "hbor",
+                "ubor",
+                "vbor",
+                "aubor",
+                "litbor",
+                "tbor",
+                "atbor",
+                "btbor",
+                "nbor",
+                "k",
+            ]
+            line = " ".join(str(boundary_settings[key]) for key in keys_order)
+            lines.append(line)
+            bnd_node += 1
+        poly_bnd.append((coord_bnd, bnd))
+    domains_bnd.append(poly_bnd)
+
+    # Writing to file
+    with open(outCli, "w") as f:
+        for line in lines:
+            formatted_line = " ".join(
+                format_value(value, 3, is_float=isinstance(value, float)) for value in line.split()
+            )
+            f.write(f"{formatted_line}\n")
+
+    return domains_bnd
+
+
+def write_cas(outpath, tel_module, params):
+    # Load the Jinja2 template
+    env = jinja2.Environment(loader=jinja2.FileSystemLoader(os.path.join(DATA_PATH)))
+
+    # Define the custom filter for tidal bounds
+    def repeat_value(value, count):
+        return ";".join([str(value)] * count)
+
+    env.filters["repeat_value"] = repeat_value
+    template = env.get_template(tel_module + ".cas")
+    ouput = template.render(params)
+    with open(os.path.join(outpath, tel_module + ".cas"), "w") as f:
+        f.write(ouput)
+
+
+class Telemac:
+    def __init__(self, **kwargs):
+        """
+        Create a TELEMAC model:
+        by default : TELEMAC2D is used.
+
+        Args:
+            rfolder str: the TELEMAC module to use. Can be one of the following: telemac3d, telemac2d, artemis, tomawac
+
+
+        """
+        tel_module = kwargs.get("module", "telemac2d")
+        if tel_module not in ["telemac3d", "telemac2d", "artemis", "tomawac"]:
+            raise ValueError("module must be one of the following: telemac3d, telemac2d, artemis, tomawac")
+
+        rfolder = kwargs.get("rfolder", None)
+        if rfolder:
+            self.read_folder(**kwargs)
+
+        self.geometry = kwargs.get("geometry", None)
+
+        if self.geometry:
+            if isinstance(self.geometry, dict):
+                self.lon_min = self.geometry["lon_min"]
+                self.lon_max = self.geometry["lon_max"]
+                self.lat_min = self.geometry["lat_min"]
+                self.lat_max = self.geometry["lat_max"]
+            elif self.geometry == "global":
+                logger.warning("geometry is 'global'")
+            elif isinstance(self.geometry, str):
+                try:
+                    geo = gp.GeoDataFrame.from_file(self.geometry)
+                except:
+                    logger.error("geometry argument not a valid geopandas file")
+                    sys.exit(1)
+
+                (
+                    self.lon_min,
+                    self.lat_min,
+                    self.lon_max,
+                    self.lat_max,
+                ) = geo.total_bounds
+            else:
+                logger.warning("no geometry given")
+
+        # coastlines
+        coastlines = kwargs.get("coastlines", None)
+
+        if coastlines is not None:
+            try:
+                coast = gp.GeoDataFrame.from_file(coastlines)
+            except:
+                coast = gp.GeoDataFrame(coastlines)
+
+            self.coastlines = coast
+
+        if not hasattr(self, "start_date"):
+            start_date = kwargs.get("start_date", None)
+            self.start_date = pd.to_datetime(start_date)
+
+        if not hasattr(self, "end_date"):
+            if "time_frame" in kwargs:
+                time_frame = kwargs.get("time_frame", None)
+                self.end_date = self.start_date + pd.to_timedelta(time_frame)
+            elif "end_date" in kwargs:
+                end_date = kwargs.get("end_date", None)
+                self.end_date = pd.to_datetime(end_date)
+                self.time_frame = self.end_date - self.start_date
+
+        # if it is the first computation, set origin time (important for restart)
+        if not hasattr(self, "rdate"):
+            self.rdate = get_value(self, kwargs, "rdate", self.start_date)
+
+        if not hasattr(self, "end_date"):
+            # ---------------------------------------------------------------------
+            logger.warning("model not set properly, No end_date\n")
+            # ---------------------------------------------------------------------
+
+        # dt is in parameters
+        params = kwargs.get("parameters", None)
+        if params is not None:
+            self.tstep = params.get("dt", None)
+        else:
+            self.tstep = None
+
+        self.module = tel_module
+        self.tide = kwargs.get("tide", False)
+        tpxo_ = kwargs.get("tpxo_source", None)
+        if tpxo_ is not None:
+            self.tide = True
+
+        self.atm = kwargs.get("atm", True)
+        self.monitor = kwargs.get("monitor", False)
+
+        self.solver_name = TELEMAC_NAME
+        # restart
+        restart = get_value(self, kwargs, "hotstart", None)
+        if restart:
+            self.restart = pd.to_datetime(restart)
+        else:
+            self.restart = None
+
+        # specific to meteo grib files
+        self.gtype = get_value(self, kwargs, "meteo_gtype", "grid")
+        self.ttype = get_value(self, kwargs, "meteo_ttype", "time")
+        self.ncsize = get_value(self, kwargs, "ncsize", 1)
+        # convert -180/180 to 0-360
+        self.input360 = get_value(self, kwargs, "meteo_input360", False)
+        self.meteo = get_value(self, kwargs, "meteo_source", None)
+
+        # custom user fortran
+        self.fortran = get_value(self, kwargs, "fortran", None)
+
+        for attr, value in kwargs.items():
+            if not hasattr(self, attr):
+                setattr(self, attr, value)
+
+        setattr(self, "misc", {})
+
+    # ============================================================================================
+    # CONFIG
+    # ============================================================================================
+    def config(self, config_file=None, output=False, **kwargs):
+        dic = get_value(self, kwargs, "parameters", None)
+        #        param_file = get_value(self,kwargs,'config_file',None)
+        path = get_value(self, kwargs, "rpath", "./telemac/")
+
+        if config_file:
+            # ---------------------------------------------------------------------
+            logger.info("reading parameter file {}\n".format(config_file))
+            # ---------------------------------------------------------------------
+        else:
+            # ---------------------------------------------------------------------
+            logger.info("using default " + self.module + " json config file ...\n")
+            # ---------------------------------------------------------------------
+
+            config_file = os.path.join(DATA_PATH, self.module + ".json")
+
+        # Load the parameters from the JSON file
+        with open(config_file, "r") as json_file:
+            config = json.load(json_file)
+            params = config["params"]
+
+        res_min = get_value(self, kwargs, "resolution_min", 0.5)
+        # update key values
+        if self.start_date is not None:
+            if "telemac" in self.module:
+                params["datestart"] = self.start_date.strftime("%Y;%m;%d")
+                params["timestart"] = self.start_date.strftime("%H;%M;%S")
+            elif "tomawac" in self.module:
+                params["datestart"] = self.start_date.strftime("%Y%m%d%H%M")
+            else:
+                logger.info(f"self.start_date not set for {self.module} yet\n")
+
+            if hasattr(self, "time_frame"):
+                duration = pd.to_timedelta(self.time_frame).total_seconds()
+            else:
+                self.time_frame = self.end_date - self.start_date
+                duration = self.time_frame.total_seconds()
+
+            params["duration"] = duration
+
+            # export grid data every hour
+            if self.tstep:
+                tstep = self.tstep
+            else:
+                tstep = calculate_time_step_hourly_multiple(res_min)
+            params["tstep"] = tstep
+            params["nb_tsteps"] = int(duration / tstep)
+            params["tstep_graph"] = int(3600 / tstep)
+            params["tstep_list"] = int(3600 / tstep)
+            params["ncsize"] = self.ncsize
+
+        # tide
+        if self.tide:
+            params["tide"] = True
+            params["initial_conditions"] = "TPXO SATELLITE ALTIMETRY"
+
+        # hotstart
+        if self.restart is not None:
+            hotout = int((self.restart - self.rdate).total_seconds() / (params["tstep"] * params["tstep_graph"]))
+            params["hotstart"] = True
+            params["restart_tstep"] = hotout
+
+        if self.monitor:
+            params["monitor"] = True
+
+        # custom fortran file
+        if self.fortran:
+            params["fortran"] = True
+            if os.path.isfile(self.fortran):
+                file = os.path.split(self.fortran)[1]
+                os.makedirs(os.path.join(path, "user_fortran"), exist_ok=True)
+                shutil.copy(self.fortran, os.path.join(path, "user_fortran", file))
+            elif os.path.isdir(self.fortran):
+                files_to_copy = [os.path.basename(x) for x in glob.glob(f"{self.fortran}/*.f*")]
+                files_to_copy += [os.path.basename(x) for x in glob.glob(f"{self.fortran}/*.F*")]
+                dest_name = os.path.join(path, "user_fortran")
+                copy_files(dest_name, self.fortran, files_to_copy)
+            else:
+                raise ValueError(f"Couldn't find valid FORTRAN files in {self.fortran}")
+            logger.info(f"Copied FORTRAN files to {path}")
+
+        # update
+        if dic:
+            for key in dic.keys():
+                params[key] = dic[key]
+        if "params" in kwargs.keys():
+            for key in kwargs["params"].keys():
+                params[key] = kwargs["params"][key]
+
+        self.params = params
+
+        if output:
+            # save params
+            # ---------------------------------------------------------------------
+            logger.info("output " + self.module + " CAS file ...\n")
+            # ---------------------------------------------------------------------
+            write_cas(path, self.module, params)
+
+    # ============================================================================================
+    # METEO
+    # ============================================================================================
+    def force(self, **kwargs):
+        meteo_source = get_value(self, kwargs, "meteo_source", None)
+
+        kwargs.update({"meteo_source": meteo_source})
+
+        flag = get_value(self, kwargs, "update", ["all"])
+
+        z = {**self.__dict__, **kwargs}  # merge self and possible kwargs
+
+        # check if files exist
+        if flag:
+            if ("meteo" in flag) | ("all" in flag):
+                self.meteo = pmeteo.Meteo(**z)
+            else:
+                logger.info("skipping meteo ..\n")
+        else:
+            self.meteo = pmeteo.Meteo(**z)
+
+    def to_force(self, geo, outpath):
+        # # WRITE METEO FILE
+        logger.info("saving meteo file.. ")
+        # define file names
+        atm_zarr = os.path.join(outpath, "atm.zarr")
+        geo_mesh = xr.open_dataset(geo, engine="selafin")
+        meteoFile = os.path.join(outpath, "input_wind.slf")
+        # temp zarr file
+        write_meteo_on_mesh(
+            self.meteo.Dataset,
+            geo_mesh,
+            atm_zarr,
+            50,
+            len(geo_mesh.x),
+            gtype=self.gtype,
+            ttype=self.ttype,
+            input360=self.input360,
+        )
+        # zarr to selafin
+        write_meteo_selafin(meteoFile, atm_zarr)
+
+    # ============================================================================================
+    # TPXO
+    # ============================================================================================
+    def tpxo(self, tpxo_suffix="tpxo9_atlas_30_v4", **kwargs):
+        tpxo_source = get_value(self, kwargs, "tpxo_source", None)
+        path = get_value(self, kwargs, "rpath", "./telemac")
+
+        lat_min = np.round(self.lat_min - 1 if self.lat_min > -89 else self.lat_min, 2)
+        lat_max = np.round(self.lat_max + 1 if self.lat_max < 89 else self.lat_max, 2)
+        lon_min = np.round(self.lon_min - 1, 2)
+        lon_max = np.round(self.lon_max + 1, 2)
+
+        if lon_min < 0 and lon_max < 0:
+            lon_min += 360
+            lon_max += 360
+
+        if tpxo_source is None:
+            # ---------------------------------------------------------------------
+            logger.error("model not set properly: define tpxo_source\n")
+            raise ValueError("model not set properly: define tpxo_source")
+            # ---------------------------------------------------------------------
+        os.makedirs(os.path.join(path, "TPXO"), exist_ok=True)
+
+        logger.info("extracting tides..\n")
+        #
+        lines = []
+        lines.append(f"{path}/TPXO/input_sources !")
+        lines.append(f"{path}/TPXO/Model_Local        ! Local area Model name")
+        lines.append(f"{lat_min} {lat_max}     ! Lat limits (degrees N)")
+        lines.append(f"{lon_min} {lon_max}     ! Lon limits (degrees E, range -180 +360)")
+        with open(f"{path}/TPXO/setup.local", "w") as file:
+            file.write("\n".join(lines))
+
+        # input sources
+        lines = []
+        lines.append(f"{tpxo_source}/h_*_{tpxo_suffix}")
+        lines.append(f"{tpxo_source}/u_*_{tpxo_suffix}")
+        lines.append(f"{tpxo_source}/grid_{tpxo_suffix}")
+        with open(f"{path}/TPXO/input_sources", "w") as file:
+            file.write("\n".join(lines))
+
+        # output files
+        lines = []
+        lines.append(f"{path}/TPXO/h_LOCAL")
+        lines.append(f"{path}/TPXO/uv_LOCAL")
+        lines.append(f"{path}/TPXO/grid_LOCAL")
+        with open(f"{path}/TPXO/Model_Local", "w") as file:
+            file.write("\n".join(lines))
+
+        os.system(f"cp {DATA_PATH}/extract_local_model {path}/TPXO/extract_local_model")
+        os.system(f"{path}/TPXO/extract_local_model<{path}/TPXO/setup.local")
+
+    # ============================================================================================
+    # DEM
+    # ============================================================================================
+    def bath(self, **kwargs):
+        #       z = self.__dict__.copy()
+
+        if self.mesh.Dataset is not None:
+            kwargs["grid_x"] = self.mesh.Dataset.SCHISM_hgrid_node_x.values
+            kwargs["grid_y"] = self.mesh.Dataset.SCHISM_hgrid_node_y.values
+
+        dpath = get_value(self, kwargs, "dem_source", None)
+
+        kwargs.update({"dem_source": dpath})
+
+        flag = get_value(self, kwargs, "update", ["all"])
+        # check if files exist
+        if flag:
+            if ("dem" in flag) | ("all" in flag):
+                kwargs.update(
+                    {
+                        "lon_min": self.lon_min,
+                        "lat_min": self.lat_min,
+                        "lon_max": self.lon_max,
+                        "lat_max": self.lat_max,
+                    }
+                )
+                self.dem.Dataset = pdem.dem_on_mesh(self.dem.Dataset, **kwargs)
+
+                if kwargs.get("adjust_dem", True):
+                    coastline = kwargs.get("coastlines", None)
+                    if coastline is None:
+                        logger.warning("coastlines not present, aborting adjusting dem\n")
+                    elif "adjusted" in self.dem.Dataset.data_vars.keys():
+                        logger.info("Dem already adjusted\n")
+                    elif "fval" in self.dem.Dataset.data_vars.keys():
+                        logger.info("Dem already adjusted\n")
+                    else:
+                        self.dem.adjust(coastline, **kwargs)
+                try:
+                    self.get_depth_from_dem()
+                except AttributeError as e:
+                    logger.info("Keeping bathymetry in hgrid.gr3 due to {}\n".format(e))
+            else:
+                logger.info("dem from mesh file\n")
+
+    def get_depth_from_dem(self):
+        try:
+            logger.info("Dem already adjusted\n")
+            bat = -self.dem.Dataset.fval.values.astype(float)  # minus for hydro run
+            if np.isinf(bat).sum() != 0:
+                raise Exception("Bathymetry contains Infs")
+            if np.isnan(bat).sum() != 0:
+                raise Exception("Bathymetry contains NaNs")
+
+        except:
+            bat = -self.dem.Dataset.ival.values.astype(float)  # minus for hydro run
+
+        self.mesh.Dataset.depth.loc[: bat.size] = bat
+        logger.info("updating bathymetry ..\n")
+
+    @staticmethod
+    def mesh_to_slf(
+        x, y, z, tri, outpath, tag="telemac2d", chezy=None, manning=0.027, friction_type="chezy", **kwargs
+    ):
+        #
+        ds = xr.Dataset(
+            {
+                "B": (("time", "node"), z[np.newaxis, :]),
+                # Add other variables as needed
+            },
+            coords={
+                "x": ("node", x),
+                "y": ("node", y),
+                "time": [pd.Timestamp.now()],
+            },
+        )
+        ds.attrs["ikle2"] = tri + 1
+        # bottom friction only in the case of TELEMAC2D
+        if tag == "telemac2d":
+            if chezy:
+                c = np.ones(len(z)) * chezy
+            else:
+                if friction_type == "chezy":
+                    c = (abs(z) ** (1 / 6)) / manning
+                else:
+                    print("only Chezy implemented so far! ")
+                    sys.exit()
+            ds["W"] = xr.Variable(dims=["node"], data=c)
+            logger.info("Manning file created..\n")
+        ds.selafin.write(outpath)
+
+    def to_slf(self, outpath, global_=True, flip_=True, friction_type="chezy", **kwargs):
+        corrections = get_value(self, kwargs, "mesh_corrections", {"reverse": [], "remove": []})
+
+        X = self.mesh.Dataset.SCHISM_hgrid_node_x.data
+        Y = self.mesh.Dataset.SCHISM_hgrid_node_y.data
+        # depth
+        Z = -self.mesh.Dataset.depth.data
+        nan_mask = np.isnan(Z)
+        inf_mask = np.isinf(Z)
+        if np.any(nan_mask) or np.any(inf_mask):
+            Z[nan_mask] = 0
+            Z[inf_mask] = 0
+            logger.info("Z contains . Cleaning needed.")
+        # connectivity
+        IKLE2 = self.mesh.Dataset.SCHISM_hgrid_face_nodes.data
+        remove(outpath)
+
+        if global_:
+            # suppress the pole triangles (for now)
+            IKLE2 = remove_pole_triangles(X, Y, IKLE2, corrections)
+        if flip_:
+            # adjust triangles orientation on the dateline
+            IKLE2 = flip_triangles(X, Y, IKLE2, corrections)
+
+        if IKLE2.shape != self.mesh.Dataset.SCHISM_hgrid_face_nodes.data.shape:
+            reassign_ikle = True
+        else:
+            if not np.array_equal(IKLE2, self.mesh.Dataset.SCHISM_hgrid_face_nodes.data):
+                reassign_ikle = True
+            else:
+                reassign_ikle = False
+
+        if reassign_ikle:
+            self.mesh.Dataset["SCHISM_hgrid_face_nodes"] = xr.Variable(
+                ("nSCHISM_hgrid_face", "nMaxSCHISM_hgrid_face_nodes"),
+                IKLE2,
+            )
+
+        # write mesh
+        chezy = get_value(self, kwargs, "chezy", None)
+        manning = get_value(self, kwargs, "manning", 0.027)
+        self.mesh_to_slf(X, Y, Z, IKLE2, outpath, self.module, chezy, manning, friction_type)
+
+    # ============================================================================================
+    # EXECUTION
+    # ============================================================================================
+    def create(self, **kwargs):
+        if not kwargs:
+            kwargs = self.__dict__.copy()
+
+        # Set background dem as scale for mesh generation
+        dpath = get_value(self, kwargs, "dem_source", None)
+        if dpath:
+            self.dem = pdem.Dem(**kwargs)
+            # kwargs.update({"dem_source": self.dem.Dataset})
+        else:
+            logger.info("no dem available\n")
+
+        # Mesh
+        self.mesh = pmesh.set(type="tri2d", **kwargs)
+
+        # set lat/lon from file
+        if self.mesh.Dataset is not None:
+            kwargs.update({"lon_min": self.mesh.Dataset.SCHISM_hgrid_node_x.values.min()})
+            kwargs.update({"lon_max": self.mesh.Dataset.SCHISM_hgrid_node_x.values.max()})
+            kwargs.update({"lat_min": self.mesh.Dataset.SCHISM_hgrid_node_y.values.min()})
+            kwargs.update({"lat_max": self.mesh.Dataset.SCHISM_hgrid_node_y.values.max()})
+
+            self.lon_min = self.mesh.Dataset.SCHISM_hgrid_node_x.values.min()
+            self.lon_max = self.mesh.Dataset.SCHISM_hgrid_node_x.values.max()
+            self.lat_min = self.mesh.Dataset.SCHISM_hgrid_node_y.values.min()
+            self.lat_max = self.mesh.Dataset.SCHISM_hgrid_node_y.values.max()
+
+        # get bathymetry
+        if len(self.mesh.Dataset.depth) == len(self.mesh.Dataset.SCHISM_hgrid_node_y):
+            if np.all(self.mesh.Dataset.depth == 0):
+                logger.info("bathy is set to 0, interpolating dem on mesh")
+                self.bath(**kwargs)
+            logger.info("found bathy in mesh file\n")
+        elif self.mesh.Dataset is not None:
+            self.bath(**kwargs)
+        else:
+            raise ValueError("No bathymetry found")
+
+        # get meteo
+        if self.atm:
+            self.force(**kwargs)
+
+        # get tide
+        if self.tide:
+            self.tpxo(**kwargs)
+
+        self.config(**kwargs)
+
+    def output(self, **kwargs):
+        path = get_value(self, kwargs, "rpath", "./telemac/")
+        global_ = get_value(self, kwargs, "global", True)
+        chezy = self.params.get("chezy", None)
+        flip_ = get_value(self, kwargs, "flip", True)
+
+        if not os.path.exists(path):
+            os.makedirs(path)
+
+        # Mesh related files
+        if self.mesh.Dataset is not None:
+            try:
+                self.get_depth_from_dem()
+            except AttributeError as e:
+                logger.info("Keeping bathymetry from hgrid.gr3 ..\n")
+
+            logger.info("saving geometry file.. ")
+            geo = os.path.join(path, "geo.slf")
+            cli = os.path.join(path, "geo.cli")
+            self.to_slf(geo, global_=global_, flip_=flip_, chezy=chezy)
+            self.mesh.to_file(filename=os.path.join(path, "hgrid.gr3"))
+            write_netcdf(self.mesh.Dataset, geo)
+
+            # WRITE METEO FILE
+            logger.info("saving meteo file.. ")
+            meteoFile = os.path.join(path, "input_wind.slf")
+            atm_zarr = os.path.join(path, "atm.zarr")
+            geo_mesh = xr.open_dataset(geo, engine="selafin")
+            if isinstance(self.meteo, list):
+                self.meteo = pmeteo.Meteo(self.meteo_source)
+            else:
+                pass
+
+            if self.meteo:
+                write_meteo_on_mesh(
+                    self.meteo.Dataset,
+                    geo_mesh,
+                    atm_zarr,
+                    50,
+                    len(geo_mesh.x),
+                    gtype=self.gtype,
+                    ttype=self.ttype,
+                    input360=self.input360,
+                )
+                write_meteo_selafin(meteoFile, atm_zarr)
+
+            # WRITE BOUNDARY FILE
+            logger.info("saving boundary file.. ")
+            domain = export_cli(self.mesh.Dataset, geo, cli, tel_module=self.module)
+            self.params["N_bc"] = len(domain[0])
+
+            # WRITE CAS FILE
+            logger.info("saving CAS file.. ")
+            write_cas(path, self.module, self.params)
+
+        # ---------------------------------------------------------------------
+        logger.info("output done\n")
+        # ---------------------------------------------------------------------
+
+    def run(self, api=True, **kwargs):
+        calc_dir = get_value(self, kwargs, "rpath", "./telemac/")
+        cpu = get_value(self, kwargs, "cpu", os.cpu_count())
+        cwd = os.getcwd()
+
+        # ---------------------------------------------------------------------
+        logger.info("executing model\n")
+        # ---------------------------------------------------------------------
+        comm = MPI.COMM_WORLD
+
+        cas_file = self.module + ".cas"
+        os.chdir(calc_dir)
+        if not tools.is_mpirun_installed():
+            logger.warning("mpirun is not installed, ending.. \n")
+            return
+
+        if self.fortran:
+            user_fortran = "user_fortran"
+        else:
+            user_fortran = None
+
+        if api:
+            if self.module == "telemac2d":
+                # Creation of the instance Telemac2d
+                study = Telemac2d(cas_file, user_fortran=user_fortran, comm=comm, stdout=0, recompile=True)
+            elif self.module == "telemac3d":
+                study = Telemac3d(cas_file, user_fortran=user_fortran, comm=comm, stdout=0, recompile=True)
+            elif self.module == "tomawac":
+                study = Tomawac(cas_file, user_fortran=user_fortran, comm=comm, stdout=0, recompile=True)
+            else:
+                raise ValueError("this module", self.module, "is not implemented yet!")
+
+            # Testing construction of variable list
+            _ = study.variables
+
+            study.set_case()
+            if self.module == "tomawac":
+                study.set("MODEL.RESULTFILE", "results_2D.slf")
+            # Initalization
+            study.init_state_default()
+            ntimesteps = study.get("MODEL.NTIMESTEPS")
+            pbar = ProgressBar(ntimesteps)
+            for it in range(ntimesteps):
+                study.run_one_time_step()
+                pbar.update(it)
+
+            # Ending the run
+            study.finalize()
+            pbar.finish()
+        else:
+            logger.info("no api mode, running telemac manually.. \n")
+            os.system(f"{self.module}.py {cas_file} --ncsize {cpu} -s")
+        #
+        os.chdir(cwd)
+
+    def save(self, **kwargs):
+        path = get_value(self, kwargs, "rpath", "./telemac/")
+
+        lista = [key for key, value in self.__dict__.items() if key not in ["meteo", "dem", "mesh"]]
+        dic = {k: self.__dict__.get(k, None) for k in lista}
+
+        mesh = self.__dict__.get("mesh", None)
+        if isinstance(mesh, str):
+            dic.update({"mesh": mesh})
+        else:
+            dic.update({"mesh": mesh.__class__.__name__})
+
+        dem = self.__dict__.get("dem", None)
+        if isinstance(dem, str):
+            dic.update({"dem": dem})
+        elif isinstance(dem, pdem.Dem):
+            dic.update({"dem_attrs": dem.Dataset.elevation.attrs})
+
+        meteo = self.__dict__.get("meteo", None)
+        if isinstance(meteo, str):
+            dic.update({"meteo": meteo})
+        elif isinstance(meteo, pmeteo.Meteo):
+            try:
+                dic.update({"meteo": [meteo.Dataset.attrs]})
+            except:
+                dic.update({"meteo": [x.attrs for x in meteo.Dataset]})
+
+        coastlines = self.__dict__.get("coastlines", None)
+        if coastlines is not None:
+            # Save the path to the serialized coastlines - #130
+            coastlines_database = os.path.join(path, "coastlines.json")
+            coastlines.to_file(coastlines_database)
+            dic.update({"coastlines": coastlines_database})
+        else:
+            dic.update({"coastlines": None})
+
+        dic["version"] = pyposeidon.__version__
+
+        for attr, value in dic.items():
+            if isinstance(value, datetime.datetime):
+                dic[attr] = value.isoformat()
+            if isinstance(value, pd.Timedelta):
+                dic[attr] = value.isoformat()
+            if isinstance(value, pd.DataFrame):
+                dic[attr] = value.to_dict()
+            if isinstance(value, gp.GeoDataFrame):
+                dic[attr] = value.to_json()
+
+        filename = os.path.join(path, f"{self.module}_model.json")
+        json.dump(dic, open(filename, "w"), indent=4, default=myconverter)
+
+    def execute(self, **kwargs):
+        self.create(**kwargs)
+        self.output(**kwargs)
+        if self.monitor:
+            self.set_obs()
+        self.save(**kwargs)
+        self.run(**kwargs)
+
+    def read_folder(self, rfolder, **kwargs):
+        self.rpath = rfolder
+        geo = glob.glob(os.path.join(rfolder, "geo.slf"))
+        cli = glob.glob(os.path.join(rfolder, "/geo.cli"))
+        mfiles = glob.glob(os.path.join(rfolder, "/input_wind.slf"))
+
+        mykeys = ["start_year", "start_month", "start_day"]
+        sdate = [self.params["opt"][x] for x in mykeys]  # extract date info from param.nml
+        sd = "-".join(str(item) for item in sdate)  # join in str
+        sd = pd.to_datetime(sd)  # convert to datestamp
+
+        sh = [self.params["opt"][x] for x in ["start_hour", "utc_start"]]  # get time attrs
+        sd = sd + pd.to_timedelta("{}H".format(sh[0] + sh[1]))  # complete start_date
+
+        ed = sd + pd.to_timedelta("{}D".format(self.params["core"]["rnday"]))  # compute end date based on rnday
+
+        self.start_date = sd  # set attrs
+        self.end_date = ed
+
+        load_mesh = get_value(self, kwargs, "load_mesh", False)
+
+        if load_mesh:
+            try:
+                self.mesh = pmesh.set(type="tri2d", mesh_file=hfile)
+            except:
+                logger.warning("loading mesh failed")
+                pass
+        else:
+            logger.warning("no mesh loaded")
+
+        load_meteo = get_value(self, kwargs, "load_meteo", False)
+
+        # meteo
+        if load_meteo is True:
+            try:
+                pm = []
+                for key, val in mfiles.items():
+                    msource = xr.open_mfdataset(val)
+                    pm.append(msource)
+                if len(pm) == 1:
+                    pm = pm[0]
+                self.meteo = pmeteo.Meteo(meteo_source=pm)
+
+            except:
+                pm = []
+                for key, val in mfiles.items():
+                    ma = []
+
+                    for ifile in mfiles:
+                        g = xr.open_dataset(ifile)
+                        ts = "-".join(g.time.attrs["base_date"].astype(str)[:3])
+                        time_r = pd.to_datetime(ts)
+                        try:
+                            times = time_r + pd.to_timedelta(g.time.values, unit="D").round("H")
+                            g = g.assign_coords({"time": times})
+                            ma.append(g)
+                        except:
+                            logger.warning("loading meteo failed")
+                            break
+                    if ma:
+                        msource = xr.merge(ma)
+                        pm.append(msource)
+
+                if len(pm) == 1:
+                    pm = pm[0]
+
+                self.meteo = pmeteo.Meteo(meteo_source=pm)
+
+        else:
+            logger.warning("no meteo loaded")
+
+    def hotstart(self, t=None, **kwargs):
+        filename2d = get_value(self, kwargs, "filename2d", "out_2D.zarr")
+        ppath = get_value(self, kwargs, "ppath", self.rpath)
+        out2d = os.path.join(ppath, "outputs", filename2d)
+        ds = xr.open_dataset(out2d)
+        t_ = ds.time.values
+        it = np.where(t_ == t)[0]
+        xdat = ds.isel(time=it)
+        hfile = f"hotstart_{t.strftime('%Y%m%d.%H')}.nc"
+        logger.info("saving hotstart file\n")
+        xdat.to_netcdf(os.path.join(ppath, f"outputs/{hfile}"))
+
+    @staticmethod
+    def set_attrs(ds):
+        lat_coord_standard_name = "latitude"
+        lon_coord_standard_name = "longitude"
+        x_units = "degrees_east"
+        y_units = "degrees_north"
+
+        # set Attrs
+        ds.longitude.attrs = {
+            "long_name": "node x-coordinate",
+            "standard_name": lon_coord_standard_name,
+            "units": x_units,
+            "mesh": "TELEMAC_Selafin",
+        }
+
+        ds.latitude.attrs = {
+            "long_name": "node y-coordinate",
+            "standard_name": lat_coord_standard_name,
+            "units": y_units,
+            "mesh": "TELEMAC_Selafin",
+        }
+
+        if "depth" in ds.variables:
+            ds.depth.attrs = {
+                "long_name": "Bathymetry",
+                "units": "meters",
+                "positive": "down",
+                "mesh": "TELEMAC_Selafin",
+                "location": "node",
+            }
+
+        ds.time.attrs = {
+            "long_name": "Time",
+            "base_date": pd.Timestamp(*ds.attrs["date_start"]).strftime("%Y-%m-%d %H:%M:%S"),
+            "standard_name": "time",
+        }
+
+        # Dataset Attrs
+        ds.attrs = {
+            "Conventions": "CF-1.0, UGRID-1.0",
+            "title": "TELEMAC Model output",
+            "source": "TELEMAC model output version vV8P4",
+            "references": "https://gitlab.pam-retd.fr/otm/telemac-mascaret",
+            "history": "created by pyposeidon",
+            "comment": "TELEMAC Model output",
+            "type": "TELEMAC Model output",
+        }
+        return ds
+
+    @staticmethod
+    def slf_to_xarray(file: str, res_type: ResultTypes = "2D"):
+        """
+        Open a Selafin file and convert it to an xarray dataset.
+
+        Args:
+            file (str): Path to the Selafin file.
+            type (str, optional): Type of the Selafin file. Defaults to "2D".
+
+        Returns:
+            xr.Dataset: The xarray dataset.
+        """
+        assert res_type in ("1D", "2D", "3D")
+        ds = xr.open_dataset(file, engine="selafin")
+        dic = {}
+        varsn = normalize_varnames(ds.variables)
+        for var, varn in zip(ds.variables, varsn):
+            dic.update({var: varn})
+        ds = ds.rename(dic)
+        ds["triface_nodes"] = xr.Variable(("triface", "three"), np.array(ds.attrs["ikle2"]) - 1)
+        if res_type == "1D":
+            # bug in TELEMAC coord: CONVERT BACK FROM MERCATOR (NOT FIXED YET)
+            x2, y2 = spherical2longlat(ds.longitude.values, ds.latitude.values, 0, 0)
+            ds["lon"] = xr.Variable(("node"), x2)
+            ds["lat"] = xr.Variable(("node"), y2)
+        return ds
+
+    def results(self, **kwargs):
+        path = get_value(self, kwargs, "rpath", "./telemac/")
+        filename = get_value(self, kwargs, "filename", "stations.zarr")
+        filename2d = get_value(self, kwargs, "filename2d", "out_2D.zarr")
+        remove_zarr = get_value(self, kwargs, "remove_zarr", True)
+        chunk = get_value(self, kwargs, "chunk", None)
+
+        logger.info("get combined 2D netcdf files \n")
+        # check for new IO output
+        res = os.path.join(path, "results_2D.slf")
+        xc = self.slf_to_xarray(res)
+        xc = self.set_attrs(xc)
+
+        os.makedirs(os.path.join(path, "outputs"), exist_ok=True)
+        out2d = os.path.join(path, "outputs", filename2d)
+        remove(out2d)
+        export_xarray(xc, out2d, chunk=chunk, remove_dir=remove_zarr)
+
+        if self.monitor:
+            logger.info("export observations file\n")
+
+            res_1D = os.path.join(path, "results_1D.slf")
+            xc = self.slf_to_xarray(res_1D, res_type="1D")
+            xc = self.set_attrs(xc)
+
+            out_obs = os.path.join(path, "outputs", filename)
+            remove(out_obs)
+            export_xarray(xc, out_obs, chunk=chunk, remove_dir=remove_zarr)
+        logger.info("done with output results files 1D/2D\n")
+
+    def set_obs(self, **kwargs):
+        path = get_value(self, kwargs, "rpath", "./telemac/")
+        tg_database = get_value(self, kwargs, "obs", None)
+        max_dist = get_value(self, kwargs, "max_dist", np.inf)
+        id_str = get_value(self, kwargs, "id_str", "ioc_code")
+        offset = get_value(self, kwargs, "offset", 0)
+
+        if tg_database:
+            logger.info("get stations from {}\n".format(tg_database))
+            tg = pd.read_csv(tg_database, index_col=0).reset_index(drop=True)
+        else:
+            logger.info("get stations using searvey\n")
+            geometry = get_value(self, kwargs, "geometry", None)
+            if geometry == "global":
+                tg = ioc.get_ioc_stations()
+            else:
+                geo_box = shapely.geometry.box(self.lon_min, self.lat_min, self.lon_max, self.lat_max)
+                tg = ioc.get_ioc_stations(region=geo_box)
+            tg = tg.reset_index(drop=True)
+            ### save in compatible to searvey format
+            tg["country"] = tg.country.values.astype("str")  # fix an issue with searvey see #43 therein
+            logger.info("save station DataFrame \n")
+            tg_database = os.path.join(path, "stations.json")
+            tg.to_file(tg_database)
+        ##### normalize to be used inside pyposeidon
+        tgn = normalize_column_names(tg.copy())
+
+        ##### make sure lat/lon are floats
+        tgn = tgn.astype({"latitude": float, "longitude": float, "location": str})
+        ## FOR TIDE GAUGE MONITORING
+
+        logger.info("set in-situ measurements locations \n")
+
+        if self.mesh == "tri2d":
+            self.mesh = pmesh.set(type="tri2d", mesh_file=self.mesh_file)
+
+        if not self.mesh.Dataset:
+            logger.warning("no mesh available skipping \n")
+            return
+
+        mesh = pd.DataFrame(
+            np.array([self.mesh.Dataset.SCHISM_hgrid_node_x.values, self.mesh.Dataset.SCHISM_hgrid_node_y.values]).T,
+            columns=["lon", "lat"],
+        )
+        points = pd.DataFrame(np.array([tgn.longitude.values, tgn.latitude.values]).T, columns=["lon", "lat"])
+        df = find_nearest_nodes(mesh, points, 1)
+        df = df[df.distance < max_dist]
+
+        if len(df) == 0:
+            logger.warning("no observations available\n")
+
+        df["z"] = 0
+        df.index += 1
+        df["ind"] = df.index
+        df["unique_id"] = tgn[id_str].values
+        if id_str != "unique_id":
+            df[id_str] = tgn[id_str].values
+        df["depth"] = self.mesh.Dataset.depth[df.mesh_index.values]
+
+        # convert to MERCATOR coordinates
+        # dirty fix (this needs to be fixed in TELEMAC directly)
+        x, y = longlat2spherical(df["lon"], df["lat"], 0, 0)
+        df["x"] = x
+        df["y"] = y
+
+        logger.info("write out stations.csv file \n")
+        df.to_csv(os.path.join(path, "stations.csv"), index=False)
+
+        logger.info("write out stations.in file \n")
+        # output to file
+        serialize_stations(
+            df,
+            os.path.join(path, "station.in"),
+            format="telemac",
+            duration=self.params["duration"],
+            timestep=self.params["tstep"],
+            offset=offset,
+        )
+        self.stations = os.path.join(path, "stations.csv")
+
+    def get_output_data(self, **kwargs):
+        dic = self.__dict__
+
+        dic.update(kwargs)
+
+        self.data = data.get_output(**dic)
+
+    def get_station_obs_data(self, **kwargs):
+        self.station_obs_data = pd.read_csv(self.stations)
+
+    def open_thalassa(self, **kwargs):
+        # open a Thalassa instance to visualize the output
+        return
diff --git a/pyposeidon/tools.py b/pyposeidon/tools.py
index 095ed610..7801ab1b 100644
--- a/pyposeidon/tools.py
+++ b/pyposeidon/tools.py
@@ -191,6 +191,10 @@ def get_solver(solver_name: str):
         from .d3d import d3d
 
         solver = d3d
+    elif solver_name == "telemac":
+        from .telemac import Telemac
+
+        solver = Telemac
     else:
         raise ValueError(f"Unknown solver_name: {solver_name}")
     return solver
diff --git a/pyposeidon/utils/cast.py b/pyposeidon/utils/cast.py
index d5f22523..2b5b2f81 100644
--- a/pyposeidon/utils/cast.py
+++ b/pyposeidon/utils/cast.py
@@ -35,6 +35,8 @@ def set(solver_name: str, **kwargs):
         instance = D3DCast(**kwargs)
     elif solver_name == "schism":
         instance = SchismCast(**kwargs)
+    elif solver_name == "telemac":
+        instance = TelemacCast(**kwargs)
     else:
         raise ValueError(f"Don't know how to handle solver: {solver_name}")
     return instance
@@ -62,6 +64,24 @@ def symlink_files(rpath: str, ppath: str, filenames: list[str]) -> None:
             logger.debug("symlinked src -> dst: %s -> %s", src, dst)
 
 
+def copy_or_symlink(inresfile, outresfile, copy):
+    if copy:
+        logger.info("Copying: %s -> %s", inresfile, outresfile)
+        copy2(inresfile, outresfile)
+    else:
+        logger.info("Symlinking`: %s -> %s", inresfile, outresfile)
+        try:
+            os.symlink(inresfile, outresfile)
+        except OSError as e:
+            if e.errno == errno.EEXIST:
+                logger.warning("Restart link present\n")
+                logger.warning("overwriting\n")
+                os.remove(outresfile)
+                os.symlink(inresfile, outresfile)
+            else:
+                raise e
+
+
 class D3DCast:
     def __init__(self, **kwargs):
         for attr, value in kwargs.items():
@@ -387,21 +407,8 @@ def run(self, **kwargs):
         else:
             logger.info("Hotstart file already existing. Skipping creation.\n")
 
-        if copy:
-            logger.info("Copying: %s -> %s", inresfile, outresfile)
-            copy2(inresfile, outresfile)
-        else:
-            logger.info("Symlinking`: %s -> %s", inresfile, outresfile)
-            try:
-                os.symlink(inresfile, outresfile)
-            except OSError as e:
-                if e.errno == errno.EEXIST:
-                    logger.warning("Restart link present\n")
-                    logger.warning("overwriting\n")
-                    os.remove(outresfile)
-                    os.symlink(inresfile, outresfile)
-                else:
-                    raise e
+        copy_or_symlink(inresfile, outresfile, copy)
+
         # get new meteo
 
         logger.info("process meteo\n")
@@ -474,3 +481,141 @@ def run(self, **kwargs):
         logger.info("done for date : %s", self.sdate.strftime("%Y%m%d.%H"))
 
         os.chdir(pwd)
+
+
+class TelemacCast:
+    model_files = [
+        "TPXO/grid_LOCAL",
+        "TPXO/uv_LOCAL",
+        "TPXO/h_LOCAL",
+        "geo.slf",
+        "geo.cli",
+        "station.in",
+    ]
+
+    def __init__(self, **kwargs):
+        for attr, value in kwargs.items():
+            setattr(self, attr, value)
+
+    def run(self, **kwargs):
+        if isinstance(self.model, str):
+            self.model = pyposeidon.model.read(self.model)
+
+        for attr, value in self.model.__dict__.items():
+            if not hasattr(self, attr):
+                setattr(self, attr, value)
+
+        execute = get_value(self, kwargs, "execute", True)
+
+        copy = get_value(self, kwargs, "copy", False)
+
+        pwd = os.getcwd()
+
+        self.origin = self.model.rpath
+        ppath = self.ppath
+
+        ppath = os.path.realpath(ppath)
+
+        if not os.path.exists(self.origin):
+            sys.stdout.write(f"Initial folder not present {self.origin}\n")
+            sys.exit(1)
+
+        # create the new folder/run path
+        rpath = os.path.realpath(self.cpath)
+        if not os.path.exists(rpath):
+            os.makedirs(rpath)
+
+        model_definition_filename = f"{self.tag}_model.json"
+        copy2(os.path.join(ppath, model_definition_filename), rpath)  # copy the info file
+
+        # load model
+        with open(os.path.join(rpath, model_definition_filename), "rb") as f:
+            data = json.load(f)
+            data = pd.json_normalize(data, max_level=0)
+            info = data.to_dict(orient="records")[0]
+
+        try:
+            args = info.keys() & kwargs.keys()  # modify dic with kwargs
+            for attr in list(args):
+                if isinstance(info[attr], dict):
+                    info[attr].update(kwargs[attr])
+                else:
+                    info[attr] = kwargs[attr]
+                setattr(self, attr, info[attr])
+        except Exception as e:
+            logger.exception("problem with kwargs integration\n")
+            raise e
+
+        # add optional additional kwargs
+        for attr in kwargs.keys():
+            if attr not in info.keys():
+                info[attr] = kwargs[attr]
+
+        info["config_file"] = os.path.join(ppath, self.tag + "_model.json")
+
+        self.time_origin = pd.Timestamp(info["rdate"])
+
+        # update the properties
+        info["params"]["rdate"] = self.sdate
+        info["params"]["start_date"] = self.sdate
+        info["start_date"] = self.sdate
+        info["params"]["time_frame"] = self.end_date - self.sdate
+        info["params"]["end_date"] = self.end_date
+        if info["tag"] == "telemac2d":
+            info["params"]["datestart"] = self.time_origin.strftime("%Y;%m;%d")
+            info["params"]["timestart"] = self.time_origin.strftime("%H;%M;%S")
+        elif info["tag"] == "tomawac":
+            info["params"]["datestart"] = self.time_origin.strftime("%Y%m%d%H%M")
+
+        info["params"]["duration"] = pd.to_timedelta(info["params"]["time_frame"]).total_seconds()
+        info["rpath"] = rpath
+
+        m = pm.set(**info)
+        m.rpath = rpath
+        # copy/link necessary files
+        if copy:
+            logger.debug("Copy model files")
+            copy_files(rpath=rpath, ppath=ppath, filenames=self.model_files)
+        else:
+            logger.debug("Symlink model files")
+            symlink_files(rpath=rpath, ppath=ppath, filenames=self.model_files)
+
+        logger.debug(".. done")
+
+        # create restart file
+        logger.debug("copy restart file")
+        # link restart file - TELEMAC
+        inresfile = os.path.join(ppath, f"restart_2D.slf")
+        outresfile = os.path.join(rpath, "prev_2D.slf")
+        copy_or_symlink(inresfile, outresfile, True)
+        # need True for telemac: symlink does not work
+
+        # get new meteo
+        logger.info("process meteo\n")
+        if "meteo" in self.__dict__:
+            info["meteo_source"] = self.meteo
+        m.force(**info)
+        geo = os.path.join(rpath, "geo.slf")
+        m.to_force(geo, rpath)
+
+        # complete information for initial hotstart conditions
+        info["params"]["computation_continued"] = True
+        info["params"]["initial_guess_u"] = 2
+        info["params"]["initial_guess_h"] = 2
+        info["params"]["previous_computation_file"] = "prev_2D.slf"
+        m.config(output=True, **info)  # save new CAS file
+
+        m.config_file = os.path.join(rpath, info["tag"] + "_model.json")
+
+        if m.monitor:
+            offset = (self.sdate - self.start).total_seconds()
+            m.set_obs(offset=offset)
+        m.save()
+
+        if execute:
+            m.run()
+
+        logger.info("done for date : %s", self.sdate.strftime("%Y%m%d.%H"))
+
+        os.chdir(pwd)
+        return m
diff --git a/pyposeidon/utils/cfl.py b/pyposeidon/utils/cfl.py
index e769844c..7100d2b3 100644
--- a/pyposeidon/utils/cfl.py
+++ b/pyposeidon/utils/cfl.py
@@ -103,9 +103,7 @@ def parse_hgrid(path: os.PathLike[str] | str) -> dict[str, T.Any]:
         no_closed_boundaries = int(fd.readline().split(b"=")[0].strip())
         total_closed_boundary_nodes = int(fd.readline().split(b"=")[0].strip())
         for i in range(no_closed_boundaries):
-            no_nodes_in_boundary, boundary_type = map(
-                int, (fd.readline().split(b"=")[0].strip().split(b" "))
-            )
+            no_nodes_in_boundary, boundary_type = map(int, (fd.readline().split(b"=")[0].strip().split(b" ")))
             boundary_nodes = np.fromiter(
                 fd,
                 count=no_nodes_in_boundary,
diff --git a/pyposeidon/utils/cpoint.py b/pyposeidon/utils/cpoint.py
index 72735393..036d2461 100644
--- a/pyposeidon/utils/cpoint.py
+++ b/pyposeidon/utils/cpoint.py
@@ -6,6 +6,9 @@
 import pandas as pd
 import sklearn.neighbors
 from scipy.spatial.distance import cdist
+from scipy.spatial import cKDTree
+from scipy.spatial import Delaunay
+import numpy as np
 
 
 def closest_node(node, nodes):
@@ -99,6 +102,65 @@ def find_nearest_nodes(
         .assign(distance=(distances.flatten() * earth_radius))
         .reset_index(names=["mesh_index"])
     )
-    return pd.concat(
-        (points.loc[points.index.repeat(k)].reset_index(drop=True), closest_nodes), axis="columns"
-    )
+    return pd.concat((points.loc[points.index.repeat(k)].reset_index(drop=True), closest_nodes), axis="columns")
+
+
+def get_weights(in_xy, out_xy, d=2):
+    """
+    Triangulate an output mesh based on a set of input points and return the
+    corresponding barycentric weights.
+
+    Parameters
+    ----------
+    @param in_xy (np.ndarray): Nx2 array of input point coordinates.
+    @param out_xy (np.ndarray): Nx2 array of output point coordinates.
+    @param d (int): Dimension of the input points, by default 2.
+
+    @returns (4-uple): (vert, wgts, out_idx_out, in_idx_out), with:
+        vert (np.ndarray): Nx3 array of triangle vertices.
+        wgts (np.ndarray): Nx3 array of barycentric weights.
+        out_idx_out (np.ndarray): Boolean array indicating which points
+            are outside the input mesh.
+        in_idx_out (np.ndarray): Index array of the nearest input points
+            for points outside the input mesh.
+
+    """
+    t = Delaunay(in_xy)  # triangulate output mesh
+    s = t.find_simplex(out_xy)
+    vert = np.take(t.simplices, np.maximum(s, 0), axis=0)  # Use max to avoid negative indices
+    t_ = np.take(t.transform, np.maximum(s, 0), axis=0)
+    delta = out_xy - t_[:, d]
+    bary = np.einsum("njk,nk->nj", t_[:, :d, :], delta)
+    wgts = np.hstack((bary, 1 - bary.sum(axis=1, keepdims=True)))
+    # Points outside the out_xy
+    out_idx_out = s < 0
+    if np.any(out_idx_out):
+        # For points outside, find nearest neighbors
+        tree = cKDTree(in_xy)
+        _, in_idx_out = tree.query(out_xy[out_idx_out])
+    else:
+        in_idx_out = None
+    return vert, wgts, out_idx_out, in_idx_out
+
+
+def interp(values, vtx, wts, out_idx_out, in_idx_out):
+    """
+    Interpolate values using barycentric coordinates and weights
+
+    Parameters
+    ----------
+    @param values (np.ndarray): Array of values to be interpolated.
+    @param vtx (np.ndarray): Array of vertex indices.
+    @param wts (np.ndarray): Array of barycentric weights.
+    @param out_idx_out (np.ndarray): Boolean array indicating which points
+        are outside the input mesh.
+    @param in_idx_out (np.ndarray): Index array of the nearest input points
+        for points outside the input mesh.
+
+    @return (np.ndarray): Interpolated values
+
+    """
+    res = np.einsum("nj,nj->n", np.take(values, vtx), wts)
+    if in_idx_out is not None:
+        res[out_idx_out] = values[in_idx_out]
+    return res
diff --git a/pyposeidon/utils/data.py b/pyposeidon/utils/data.py
index 810f262d..3463c0cc 100644
--- a/pyposeidon/utils/data.py
+++ b/pyposeidon/utils/data.py
@@ -15,11 +15,8 @@
 from pyposeidon.mesh import r2d
 import pyposeidon.model as pm
 from pyposeidon.tools import flat_list
-from pyposeidon.utils.get_value import get_value
-import datetime
 import xarray as xr
 import glob
-import sys
 import logging
 import json
 
@@ -33,6 +30,8 @@ def get_output(solver_name: str, **kwargs):
         solver_class = SchismResults
     elif solver_name == "d3d":
         solver_class = D3DResults
+    elif solver_name == "telemac":
+        solver_class = TelemacResults
     else:
         raise ValueError(f"Unknown solver_name: {solver_name}")
     instance = solver_class(**kwargs)
@@ -205,3 +204,129 @@ def __init__(self, **kwargs):
 
             else:
                 self.Dataset = [xr.open_mfdataset(x, combine="by_coords", data_vars="minimal") for x in datai]
+
+
+class TelemacResults:
+    def __init__(self, **kwargs):
+        """
+        this class has been copied on the Schism class above
+        although there are a few subtilities that TELEMAC introduced :
+         1. there are 1D AND 2D results, they need to be addressed separately
+         2. selafin are readable directly in xarray, so we can skip the conversion step
+        """
+        from pyposeidon.telemac import extract_t_elev_2D
+
+        rpath = kwargs.get("rpath", "./telemac/")
+        res_type = kwargs.get("result_type", "2D")
+        convert = kwargs.get("convert_results", True)
+        extract_TS = kwargs.get("extract_TS", False)
+        id_str = kwargs.get("id_str", "ioc_code")
+        max_dist = kwargs.get("max_dist", 1000)
+
+        if res_type not in ["1D", "2D"]:
+            raise ValueError("results_type needs to be '1D' or '2D'!")
+        if res_type == "1D":
+            out_default = "stations.zarr"
+        else:
+            out_default = "out_2D.zarr"
+
+        folders = kwargs.get("folders", None)
+
+        if folders:
+            self.folders = folders
+        else:
+            self.folders = [rpath]
+
+        datai = []
+
+        module = kwargs.get("module", "telemac2d")
+
+        misc = kwargs.get("misc", {})
+
+        for folder in self.folders:
+            logger.info(" Combining output for folder {}\n".format(folder))
+
+            with open(folder + "/" + module + "_model.json", "r") as f:
+                data = json.load(f)
+                data = pd.json_normalize(data, max_level=0)
+                info = data.to_dict(orient="records")[0]
+
+            p = pm.set(**info)
+            p.misc = misc
+
+            # read from output file
+            if convert:
+                xdat = glob.glob(folder + "/outputs/" + out_default)
+                model_xstr, model_ystr = "longitude", "latitude"
+                if module == "telemac2d":
+                    var = "elev"
+                elif module == "telemac3d":
+                    var = "elev"
+                elif module == "tomawac":
+                    var = "hm0"
+                else:
+                    raise ValueError(f"module {module} not supported!")
+
+                if len(xdat) > 0:
+                    datai.append(xdat)  # append to list
+
+                else:  # run merge output
+                    p.results(
+                        filename="stations.zarr",
+                        filename2d="out_2D.zarr",
+                        remove_zarr=False,  # remove zarr files after tarballing
+                    )
+
+                    self.misc = p.misc
+                    xdat = glob.glob(folder + "/outputs/" + out_default)
+                    datai.append(xdat)  # append to list
+            else:  # read from selafin file
+                xdat = glob.glob(folder + f"/results_{res_type}.slf")
+                datai.append(xdat)  # append to list
+                model_xstr, model_ystr = "x", "y"
+                if module == "telemac2d":
+                    var = "S"
+                elif module == "telemac3d":
+                    var = "Z"
+                elif module == "tomawac":
+                    var = "WH"
+                else:
+                    raise ValueError(f"module {module} not supported!")
+
+        if not any(datai):
+            logger.warning("no output files found")
+            self.Dataset = None
+        else:
+            merge = kwargs.get("merge", True)
+
+            if merge:
+                datai = flat_list(datai)
+                self.Dataset = xr.open_mfdataset(datai, data_vars="minimal")
+            else:
+                self.Dataset = [xr.open_mfdataset(x, data_vars="minimal") for x in datai]
+
+        # export parquet time series
+        if extract_TS:
+            if "stations" in p.__dict__:
+               file = p.stations
+            elif "stations.csv" in os.listdir(rpath):
+                file = os.path.join(rpath, "stations.csv")
+            elif "obs" in self.__dict__:
+                p.set_obs()
+                file = p.stations
+            else:
+                raise ValueError("no stations file info found")
+            stations = pd.read_csv(file)
+            logger.info("extracting parquet files from TELEMAC Selafin output \n")
+            for i_s, id_ in enumerate(stations[id_str]):
+                s = stations[stations[id_str] == id_]
+                mod, mlon, mlat = extract_t_elev_2D(
+                    self.Dataset,
+                    s.lon.values[0],
+                    s.lat.values[0],
+                    var,
+                    model_xstr,
+                    model_ystr,
+                    max_dist=max_dist,
+                )
+                mod.to_frame().to_parquet(f"{rpath}{id_}.parquet")
diff --git a/pyposeidon/utils/global_bgmesh.py b/pyposeidon/utils/global_bgmesh.py
index e3bfa14f..678e7e6e 100644
--- a/pyposeidon/utils/global_bgmesh.py
+++ b/pyposeidon/utils/global_bgmesh.py
@@ -135,7 +135,6 @@ def fillv(dem, perms, m, **kwargs):
     gbuffer = kwargs.get("gbuffer", 5)
 
     for (i1, i2), (j1, j2) in tqdm(perms, total=len(perms)):
-
         lon1 = dem.longitude.data[i1:i2][0]
         lon2 = dem.longitude.data[i1:i2][-1]
         lat1 = dem.latitude.data[j1:j2][0]
@@ -155,44 +154,27 @@ def fillv(dem, perms, m, **kwargs):
         bm = m.isel(nSCHISM_hgrid_node=indices_of_nodes_in_bbox)
         ids = np.argwhere(np.isnan(bm.depth.values)).flatten()
 
-        xw, yw = bm.x.data[ids], bm.y.data[ids]
-
-        var = kwargs.get("var", "adjusted")
-        logger.info(f"using '{var}' variable data")
-
-        if var not in dem.data_vars:
-            var = "elevation"
-            logger.info(f"variable {var} not present switching to 'elevation' data")
-
-        function = kwargs.get("function", "nearest")
-        logger.info(f"using {function} resample function")
-
-        # Define points with positive bathymetry
-        x, y = np.meshgrid(de.longitude, de.latitude)
-
-        # fill the nan, if present, with values in order to compute values there if needed.
-        #        de[var].data[np.isnan(de[var].values)] = 9999.0
+        grid_x, grid_y = bm.x.data, bm.y.data
 
-        orig = pyresample.geometry.SwathDefinition(lons=x, lats=y)  # original bathymetry points
-        targ = pyresample.geometry.SwathDefinition(lons=xw, lats=yw)  # wet points
+        bd = resample(de, grid_x, grid_y, var="adjusted", wet=True, flag=0, function="gauss")
 
-        mdem = de[var].values.astype(float)
+        m["depth"].loc[dict(nSCHISM_hgrid_node=indices_of_nodes_in_bbox)] = -bd
 
-        if function == "nearest":
-            bw = pyresample.kd_tree.resample_nearest(orig, mdem, targ, radius_of_influence=100000, fill_value=np.nan)
 
-        elif function == "gauss":
-            bw = pyresample.kd_tree.resample_gauss(
-                orig, mdem, targ, radius_of_influence=500000, neighbours=10, sigmas=250000, fill_value=np.nan
-            )
+def dem_on_mesh(mesh, dem):
 
-        m["depth"].loc[dict(nSCHISM_hgrid_node=indices_of_nodes_in_bbox[ids])] = bw
+    ilats = dem.elevation.chunk("auto").chunks[0]
+    ilons = dem.elevation.chunk("auto").chunks[1]
 
+    if len(ilons) == 1:
+        ilons = (int(ilons[0] / 2), int(ilons[0] / 2))
 
-def dem_on_mesh(mesh, dem, **kwargs):
+    idx = [sum(ilons[:i]) for i in range(len(ilons) + 1)]
+    jdx = [sum(ilats[:i]) for i in range(len(ilats) + 1)]
 
-    logger.info("resample dem on mesh")
+    blon = list(zip(idx[:-1], idx[1:]))
+    blat = list(zip(jdx[:-1], jdx[1:]))
 
-    perms = get_tiles(dem, **kwargs)
+    perms = [(x, y) for x in blon for y in blat]
 
     fillv(dem, perms, mesh, **kwargs)
diff --git a/pyposeidon/utils/norm.py b/pyposeidon/utils/norm.py
index 5267ca0d..71582a6d 100644
--- a/pyposeidon/utils/norm.py
+++ b/pyposeidon/utils/norm.py
@@ -2,8 +2,62 @@
 import pandas as pd
 
 # to be used for name normalization
-LONGITUDE_NAMES = {"longitude", "lon", "x", "Lon", "LONGITUDE", "LON", "X"}
-LATITUDE_NAMES = {"latitude", "lat", "y", "Lat", "LATITUDE", "LAT", "Y"}
+LONGITUDE_NAMES = {"longitude", "lon", "x", "Lon", "LONGITUDE", "LON", "X", "SCHISM_hgrid_node_x"}
+LATITUDE_NAMES = {"latitude", "lat", "y", "Lat", "LATITUDE", "LAT", "Y", "SCHISM_hgrid_node_y"}
+LOCATION_NAMES = {"location", "loc", "LOCATION", "Station_Name", "Station"}
+
+TEL_MAP_LONG = {
+    "VELOCITY U      ": "u-current-velocity",
+    "VELOCITY V      ": "v-current-velocity",
+    "FREE SURFACE    ": "free-surface",
+    "WAVE HEIGHT HM0 ": "significant-wave-height",
+    "MEAN DIRECTION  ": "mean-direction",
+    "MEAN PERIOD TM01": "mean-period-tm01",
+    "MEAN PERIOD TM02": "mean-period-tm02",
+    "MEAN PERIOD TMOY": "mean-period-tmoy",
+    "PEAK PERIOD TPR8": "peak-period-tpr8",
+    "PEAK PERIOD TPD ": "peak-period-tpd",
+    "WIND VELOCITY U ": "10m-u-component-of-wind",
+    "WIND VELOCITY V ": "10m-v-component-of-wind",
+    "SURFACE PRESSURE": "mean-sea-level-pressure",
+    "AIR TEMPERATURE ": "air-temperature",
+}
+TEL_MAP_SHORT = {
+    "VELOCITY U      ": "u",
+    "VELOCITY V      ": "v",
+    "FREE SURFACE    ": "elev",
+    "WAVE HEIGHT HM0 ": "hm0",
+    "MEAN DIRECTION  ": "dir",
+    "MEAN PERIOD TM01": "tm01",
+    "MEAN PERIOD TM02": "tm02",
+    "MEAN PERIOD TMOY": "tmoy",
+    "PEAK PERIOD TPR8": "tp",
+    "PEAK PERIOD TPD ": "tp",
+    "WIND VELOCITY U ": "u10",
+    "WIND VELOCITY V ": "v10",
+    "SURFACE PRESSURE": "msl",
+    "AIR TEMPERATURE ": "tair",
+}
+
+TEL_MAP_SHORT2 = {
+    "x": "longitude",
+    "y": "latitude",
+    "U": "u",
+    "V": "v",
+    "S": "elev",
+    "Z": "elev",
+    "WH": "hm0",
+    "DIRM": "dir",
+    "TM01": "tm01",
+    "TM02": "tm02",
+    "TMOY": "tmoy",
+    "TPR8": "tp",
+    "TPD": "tp",
+    "WINDX": "u10",
+    "WINDY": "v10",
+    "PATM": "msl",
+    "TAIR": "tair",
+}
 
 
 def normalize_coord_names(dataset: xr.Dataset) -> xr.Dataset:
@@ -28,6 +82,12 @@ def normalize_coord_names(dataset: xr.Dataset) -> xr.Dataset:
 def normalize_column_names(dataframe: pd.DataFrame) -> pd.DataFrame:
     """Return a dataframe with columns containing "longitude" and "latitude" """
     cols = dataframe.columns.tolist()
+    # location
+    for location in LOCATION_NAMES:
+        if location in cols:
+            break
+    else:
+        raise ValueError(f"Couldn't normalize location: {cols}")
     # longitude
     for lon_name in LONGITUDE_NAMES:
         if lon_name in cols:
@@ -41,8 +101,20 @@ def normalize_column_names(dataframe: pd.DataFrame) -> pd.DataFrame:
     else:
         raise ValueError(f"Couldn't normalize latitude: {cols}")
 
-    dic = {lon_name: "longitude", lat_name: "latitude"}
+    dic = {lon_name: "longitude", lat_name: "latitude", location: "location"}
     new_cols = [dic.get(n, n) for n in cols]
 
     dataframe.columns = new_cols
     return dataframe
+
+
+def normalize_varnames(varnames, mapping=TEL_MAP_SHORT2, mapping1=TEL_MAP_SHORT):
+    normalized_names = []
+    for v in varnames:
+        if v in mapping:
+            normalized_names.append(mapping[v])
+        elif v in mapping1:
+            normalized_names.append(mapping1[v])
+        else:
+            normalized_names.append(v.strip().lower())
+    return normalized_names
diff --git a/pyposeidon/utils/obs.py b/pyposeidon/utils/obs.py
index b9ef34cc..9e6f3315 100644
--- a/pyposeidon/utils/obs.py
+++ b/pyposeidon/utils/obs.py
@@ -1,4 +1,5 @@
 """ Observational Data retrieval """
+
 from __future__ import annotations
 
 import itertools
@@ -110,6 +111,10 @@ def serialize_stations(
     stations: pd.DataFrame,
     path: os.PathLike[str],
     schism_station_flag: str = "1 0 0 0 0 0 0 0 0",
+    duration: int = None,
+    timestep: int = None,
+    format: str = "schism",
+    offset: int = 0,
 ) -> None:
     """
     Serialize `stations` metadata to the provided `path`.
@@ -143,6 +148,15 @@ def serialize_stations(
         1 0.0000000000 0.0000000000 0 	!	0 1.0000000000 1.0000000000 157249.3812719440 AA a
         2 10.0000000000 5.0000000000 0 	!	1 11.0000000000 4.0000000000 157010.1626406018 BB b
         3 20.0000000000 0.0000000000 0 	!	2 21.0000000000 1.0000000000 157249.3812719441 CC c
+    for the SCHISM format.
+
+    or:
+        1 3  ! number of periods and points. https://gitlab.pam-retd.fr/otm/telemac-mascaret/-/blob/main/documentation/telemac2d/user/latex/chap3.tex#L584
+        0 100 10  ! start time, end time and interval (in seconds)
+        0.0000000000 0.0000000000 1 a  ! 0 1.0000000000 1.0000000000 157249.3812719440 AA a
+        10.0000000000 5.0000000000 2 b ! 1 11.0000000000 4.0000000000 157010.1626406018 BB b
+        20.0000000000 0.0000000000 3 c ! 2 21.0000000000 1.0000000000 157249.3812719441 CC c
+    for the TELEMAC format.
 
     """
     # Sanity check
@@ -152,14 +166,53 @@ def serialize_stations(
         msg = f"stations must have these columns too: {mandatory_cols.difference(df_cols)}"
         raise ValueError(msg)
     #
-    basic_cols = ["mesh_lon", "mesh_lat", "z", "separator", "unique_id", "mesh_index", "lon", "lat", "depth", "distance"]
+    schism_cols = [
+        "mesh_lon",
+        "mesh_lat",
+        "z",
+        "separator",
+        "unique_id",
+        "mesh_index",
+        "lon",
+        "lat",
+        "depth",
+        "distance",
+    ]
+    telemac_cols = [
+        "mesh_lon",
+        "mesh_lat",
+        "ind",
+        "unique_id",
+        "separator",
+        "mesh_index",
+        "lon",
+        "lat",
+        "depth",
+        "distance",
+    ]
     station_in = stations.assign(
         z=0,
         separator="\t!\t",
     )
-    station_in = station_in.set_index(station_in.index +1)
-    station_in = station_in[basic_cols]
-    with open(f"{path}", "w") as fd:
-        fd.write(f"{schism_station_flag.strip()}\t ! https://schism-dev.github.io/schism/master/input-output/optional-inputs.html#stationin-bp-format\n")
-        fd.write(f"{len(station_in)}\t ! number of stations\n")
-        station_in.to_csv(fd, header=None, sep=" ", float_format="%.10f")
+
+    if format == "schism":
+        station_in = station_in.set_index(station_in.index + 1)
+        station_in = station_in[schism_cols]
+        with open(f"{path}", "w") as fd:
+            fd.write(
+                f"{schism_station_flag.strip()}\t ! https://schism-dev.github.io/schism/master/input-output/optional-inputs.html#stationin-bp-format\n"
+            )
+            fd.write(f"{len(station_in)}\t ! number of stations\n")
+            station_in.to_csv(fd, header=None, sep=" ", float_format="%.10f")
+    elif format == "telemac":
+        if (duration is None) or (timestep is None):
+            raise ValueError("duration and timestep must be provided for TELEMAC format.")
+        station_in = station_in[telemac_cols]
+        with open(f"{path}", "w") as fd:
+            fd.write(f"1 {station_in.shape[0]}\n")  # 1st line: number of periods and number of points
+            fd.write(  # 2nd line: period 1: start time, end time and interval (in seconds)
+                f"{0 + offset} {duration + offset} {timestep}\n"
+            )
+            station_in.loc[:, ["lon", "lat", "ind", "unique_id"]].to_csv(
+                fd, header=None, sep=" ", index=False
+            )  # 3rd-10th line: output points; x coordinate, y coordinate, station number, and station name
diff --git a/pyposeidon/utils/post.py b/pyposeidon/utils/post.py
index 9381aa9c..d15e7547 100644
--- a/pyposeidon/utils/post.py
+++ b/pyposeidon/utils/post.py
@@ -6,6 +6,9 @@
 import numpy as np
 from tqdm.auto import tqdm
 import glob
+import numcodecs
+import tarfile
+import shutil
 
 import pyposeidon
 from pyposeidon.tools import to_geodataframe
@@ -51,6 +54,88 @@ def get_encoding(ename):
     }
 
 
+def remove(path):
+    try:
+        if os.path.isfile(path):
+            os.remove(path)  # Remove a file
+        elif os.path.isdir(path):
+            if not os.listdir(path):  # Check if the directory is empty
+                os.rmdir(path)
+            else:
+                shutil.rmtree(path)
+    except OSError as e:
+        print(f"Error: {e.strerror}")
+
+
+def tar_directory(input_directory, output_filename, compress=False):
+    """
+    Tar a Zarr directory.
+
+    Parameters
+    ----------
+    input_directory : str
+        The path to the Zarr directory to archive.
+    output_filename : str
+        The path and filename for the output archive.
+    compress : bool, optional
+        Whether to compress the archive with gzip. Default is True.
+    """
+    mode = "w:gz" if compress else "w"
+    with tarfile.open(output_filename, mode) as tar:
+        tar.add(input_directory, arcname=os.path.basename(input_directory))
+
+
+def export_xarray(ds, filename_out, chunk=None, remove_dir=False):
+    """
+    Export an xarray dataset to netcdf or zarr format.
+
+    Parameters
+    ----------
+    ds : xr.Dataset
+        The xarray dataset to export.
+    filename_out : str
+        The path and filename of the output file.
+    chunk : dict, optional
+        The chunk size to use when saving the dataset to zarr format, by default None.
+        example: chunk = {'nodes': 1000, 'time': 100}
+
+    Returns
+    -------
+    None
+
+    Raises
+    ------
+    ValueError
+        If the filename does not have a .nc or .zarr extension.
+    """
+    if not filename_out.endswith(".nc") and not filename_out.endswith(".zarr"):
+        raise ValueError("Invalid filename extension. Must be .nc or .zarr")
+    if filename_out.endswith(".nc"):
+        encoding = {}
+        default_encoding = {"zlib": True, "complevel": 1}
+        for varname in list(ds.variables):
+            encoding[varname] = default_encoding
+            if chunk:
+                chunksizes = dict(ds[varname].sizes)
+                for key in chunk:
+                    if key in chunksizes:
+                        chunksizes[key] = chunk[key]
+                encoding[varname]["chunksizes"] = list(chunksizes.values())
+        ds.to_netcdf(filename_out, encoding=encoding)
+    elif filename_out.endswith(".zarr"):
+        compressor = numcodecs.Blosc(cname="zstd", clevel=1)
+        if chunk is not None:
+            ds = ds.chunk(chunk)
+        encoding = {}
+        for varname in list(ds.variables):
+            encoding.update({varname: {"compressor": compressor}})
+        ds.to_zarr(filename_out, encoding=encoding, consolidated=True)
+        tar_directory(filename_out, filename_out + ".tar")
+        if remove_dir:
+            remove(filename_out)
+            logger.info(f"Removed directory {filename_out}")
+
+
 def save_leads(stations, st, start_date, dt, leads, rpath="./skill/"):
     ## save results in lead chunks
 
diff --git a/pyposeidon/utils/pplot.py b/pyposeidon/utils/pplot.py
index 8f7af645..de87d4fe 100644
--- a/pyposeidon/utils/pplot.py
+++ b/pyposeidon/utils/pplot.py
@@ -23,6 +23,7 @@
 
 import sys
 import os
+
 # from pyposeidon.tools import to_geodataframe
 
 ffmpeg = sys.exec_prefix + "/bin/ffmpeg"
diff --git a/pyproject.toml b/pyproject.toml
index 97201d15..548b7076 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -47,7 +47,7 @@ joblib = "*"
 llvmlite = "*"
 netCDF4 = "*"
 numcodecs = "*"
-numpy = "*"
+numpy = "<2"
 pandas = "*"
 psutil = "*"
 pyarrow = "*"
@@ -109,6 +109,11 @@ mkdocs = "*"
 mkdocstrings-python = "*"
 pymdown-extensions = "*"
 
+
+[tool.poetry.group.telemac.dependencies]
+mpi4py = "*"
+xarray-selafin = "*"
+
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
@@ -127,6 +132,7 @@ filterwarnings = [
     "ignore:A private pytest class or function was used.:pytest.PytestDeprecationWarning"
 ]
 markers = [
+    "telemac: mark a test as a Telemac based test. Needs --runtelemac to run",
     "schism: mark a test as a Schism based test. Needs --runschism to run",
     "delft: mark a test as a Delft3D based test. Needs --rundelft to run",
     "slow: mark a test as a slow one. Needs --runslow to run",
diff --git a/scripts/generate_envs.sh b/scripts/generate_envs.sh
index a8dc06bd..14a23bfa 100755
--- a/scripts/generate_envs.sh
+++ b/scripts/generate_envs.sh
@@ -9,12 +9,19 @@ set -xeuo pipefail
 ./scripts/merge_environment_yaml.py ./dependencies/python3.11.yml  ./dependencies/binary.yml | sed '/^$/d' > ./environments/binary-p3.11.yml
 ./scripts/merge_environment_yaml.py ./dependencies/python3.12.yml  ./dependencies/binary.yml | sed '/^$/d' > ./environments/binary-p3.12.yml
 
+# Binary + Telemac
+./scripts/merge_environment_yaml.py ./dependencies/python3.9.yml   ./dependencies/binary.yml ./dependencies/telemac.yml > ./environments/binary-telemac-p3.9.yml
+./scripts/merge_environment_yaml.py ./dependencies/python3.10.yml  ./dependencies/binary.yml ./dependencies/telemac.yml > ./environments/binary-telemac-p3.10.yml
+./scripts/merge_environment_yaml.py ./dependencies/python3.11.yml  ./dependencies/binary.yml ./dependencies/telemac.yml > ./environments/binary-telemac-p3.11.yml
+./scripts/merge_environment_yaml.py ./dependencies/python3.12.yml  ./dependencies/binary.yml ./dependencies/telemac.yml > ./environments/binary-telemac-p3.12.yml
+
 # Base
 ./scripts/merge_environment_yaml.py ./dependencies/python3.9.yml  ./dependencies/binary.yml ./dependencies/main.yml | sed '/^$/d' > ./environments/base-p3.9.yml
 ./scripts/merge_environment_yaml.py ./dependencies/python3.10.yml ./dependencies/binary.yml ./dependencies/main.yml | sed '/^$/d' > ./environments/base-p3.10.yml
 ./scripts/merge_environment_yaml.py ./dependencies/python3.11.yml ./dependencies/binary.yml ./dependencies/main.yml | sed '/^$/d' > ./environments/base-p3.11.yml
 ./scripts/merge_environment_yaml.py ./dependencies/python3.12.yml ./dependencies/binary.yml ./dependencies/main.yml | sed '/^$/d' > ./environments/base-p3.12.yml
 
+
 # Viz
 ./scripts/merge_environment_yaml.py ./dependencies/python3.9.yml  ./dependencies/binary.yml ./dependencies/main.yml ./dependencies/viz.yml | sed '/^$/d' > ./environments/viz-p3.9.yml
 ./scripts/merge_environment_yaml.py ./dependencies/python3.10.yml ./dependencies/binary.yml ./dependencies/main.yml ./dependencies/viz.yml | sed '/^$/d' > ./environments/viz-p3.10.yml
diff --git a/scripts/generate_locks.sh b/scripts/generate_locks.sh
index ad766b29..ce81a748 100755
--- a/scripts/generate_locks.sh
+++ b/scripts/generate_locks.sh
@@ -33,6 +33,17 @@ conda-lock render -p osx --filename-template locks/conda-macos-latest-binary-p3.
 conda-lock render -p osx --filename-template locks/conda-macos-latest-binary-p3.11.lock   locks/binary-p3.11.yml
 conda-lock render -p osx --filename-template locks/conda-macos-latest-binary-p3.12.lock   locks/binary-p3.12.yml
 
+# Telemac
+conda-lock lock --mamba --check-input-hash -p linux-64 -f environments/binary-telemac-p3.9.yml 	  --lockfile locks/binary-telemac-p3.9.yml
+conda-lock lock --mamba --check-input-hash -p linux-64 -f environments/binary-telemac-p3.10.yml 	--lockfile locks/binary-telemac-p3.10.yml
+conda-lock lock --mamba --check-input-hash -p linux-64 -f environments/binary-telemac-p3.11.yml 	--lockfile locks/binary-telemac-p3.11.yml
+conda-lock lock --mamba --check-input-hash -p linux-64 -f environments/binary-telemac-p3.12.yml 	--lockfile locks/binary-telemac-p3.12.yml
+conda-lock render -p linux-64 --filename-template locks/conda-ubuntu-latest-binary-telemac-p3.9.lock   locks/binary-telemac-p3.9.yml
+conda-lock render -p linux-64 --filename-template locks/conda-ubuntu-latest-binary-telemac-p3.10.lock  locks/binary-telemac-p3.10.yml
+conda-lock render -p linux-64 --filename-template locks/conda-ubuntu-latest-binary-telemac-p3.11.lock  locks/binary-telemac-p3.11.yml
+conda-lock render -p linux-64 --filename-template locks/conda-ubuntu-latest-binary-telemac-p3.12.lock  locks/binary-telemac-p3.12.yml
+
+
 # Pyposeidon-Base
 # Pyposeidon-Viz
 # Pyposeidon-Full
diff --git a/tests/conftest.py b/tests/conftest.py
index 671ee8c3..d40ab74a 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -30,6 +30,7 @@ def move_tests_to_the_end(items):
 
 
 def pytest_addoption(parser):
+    parser.addoption("--runtelemac", action="store_true", default=False, help="run telemac tests")
     parser.addoption("--runschism", action="store_true", default=False, help="run schism tests")
     parser.addoption("--rundelft", action="store_true", default=False, help="run delft tests")
     parser.addoption("--runslow", action="store_true", default=False, help="run slow tests")
@@ -37,11 +38,13 @@ def pytest_addoption(parser):
 
 
 def pytest_collection_modifyitems(config, items):
+    should_run_telemac = config.getoption("--runtelemac")
     should_run_schism = config.getoption("--runschism")
     should_run_delft = config.getoption("--rundelft")
     should_run_slow = config.getoption("--runslow")
     should_run_viz = config.getoption("--runviz")
 
+    skip_telemac = pytest.mark.skip(reason="need --runtelemac option to run")
     skip_schism = pytest.mark.skip(reason="need --runshism option to run")
     skip_delft = pytest.mark.skip(reason="need --rundelft option to run")
     skip_slow = pytest.mark.skip(reason="need --runslow option to run")
@@ -51,6 +54,8 @@ def pytest_collection_modifyitems(config, items):
     for item in items:
         if any(mark in item.keywords for mark in run_last_marks):
             item.add_marker(RUNLAST_MARK)
+        if "telemac" in item.keywords and not should_run_telemac:
+            item.add_marker(skip_telemac)
         if "schism" in item.keywords and not should_run_schism:
             item.add_marker(skip_schism)
         if "delft" in item.keywords and not should_run_delft:
diff --git a/tests/test_telemac.py b/tests/test_telemac.py
new file mode 100644
index 00000000..63f45053
--- /dev/null
+++ b/tests/test_telemac.py
@@ -0,0 +1,137 @@
+import os
+import numpy as np
+import xarray as xr
+import multiprocessing
+
+# from . import DATA_DIR
+import pathlib
+
+import pyposeidon
+from pyposeidon.utils import data
+import pytest
+
+from . import DATA_DIR
+
+try:
+    import telapy
+except ImportError:
+    pytest.skip(reason="requires telapy", allow_module_level=True)
+
+
+MESH_FILE = (DATA_DIR / "hgrid.gr3").as_posix()
+DEM_FILE = (DATA_DIR / "dem.nc").as_posix()
+
+# define in a dictionary the properties of the model..
+case0 = {
+    "solver_name": "telemac",
+    "mesh_file": MESH_FILE,
+    "start_date": "2017-10-1 0:0:0",
+    "time_frame": "12H",
+    "meteo_source": [(DATA_DIR / "erai.grib").as_posix()],  # meteo file
+    "dem_source": DEM_FILE,
+    "update": ["all"],  # update only meteo, keep dem
+    "parameters": {
+        "chezy": 30,
+        "dt": 50,
+    },
+}
+
+case1 = {
+    "solver_name": "telemac",
+    "mesh_file": MESH_FILE,
+    "start_date": "2017-10-1 0:0:0",
+    "end_date": "2017-10-2 0:0:0",  # optional instead of time_frame
+    "dem_source": DEM_FILE,
+    "meteo_source": [(DATA_DIR / "erai.grib").as_posix()],  # meteo file
+    "update": ["all"],  # update only meteo, keep dem
+    "parameters": {
+        "chezy": 100,
+        "dt": 200,
+    },
+}
+
+
+case2 = {
+    "solver_name": "telemac",
+    "mesh_file": MESH_FILE,
+    "start_date": "2011-1-1 0:0:0",
+    "time_frame": "12H",
+    "meteo_source": [(DATA_DIR / "era5.grib").as_posix()],  # meteo file
+    "dem_source": DEM_FILE,
+    "update": ["all"],  # update only meteo, keep dem
+    "parameters": {
+        "dt": 200,
+    },
+}
+
+
+case3 = {
+    "solver_name": "telemac",
+    "mesh_file": MESH_FILE,
+    "module": "tomawac",
+    "start_date": "2011-1-1 0:0:0",
+    "time_frame": "12H",
+    "meteo_source": [(DATA_DIR / "era5.grib").as_posix()],  # meteo file
+    "dem_source": DEM_FILE,
+    "update": ["all"],  # update only meteo, keep dem
+    "parameters": {
+        "dt": 1800,
+    },
+}
+
+case4 = {  # test does not work with telemac3d: mesh quality is too bad
+    "solver_name": "telemac",
+    "mesh_file": MESH_FILE,
+    "module": "telemac3d",
+    "start_date": "2011-1-1 0:0:0",
+    "time_frame": "12H",
+    "meteo_source": [(DATA_DIR / "era5.grib").as_posix()],  # meteo file
+    "dem_source": DEM_FILE,
+    "update": ["all"],  # update only meteo, keep dem
+    "parameters": {
+        "dt": 50,
+        "horizontal_levels": 5,
+    },
+}
+
+
+@pytest.mark.telemac
+@pytest.mark.parametrize("case", [case0, case1, case2, case3])
+def test_telemac(tmpdir, case):
+    # initialize a model
+    rpath = str(tmpdir) + "/"
+    case.update({"rpath": rpath})  # use tmpdir for running the model
+
+    b = pyposeidon.model.set(**case)
+    b.create()
+    b.mesh.Dataset.type[:] = "closed"
+    b.output()
+    b.set_obs()
+    b.save()
+    b.run()
+    case["result_type"] = "2D"
+    case["convert_results"] = True
+    case["max_dist"] = 5000
+    res = data.get_output(**case)
+    zarr_tar = b.rpath + "/outputs/out_2D.zarr.tar"
+    assert os.path.exists(zarr_tar)
+    a = pyposeidon.model.read(rpath + b.module + "_model.json")  # read model
+    a.create()
+    a.mesh.Dataset.type[:] = "closed"
+    a.output()
+    a.set_obs()
+    a.save()
+    a.run()
+    case["result_type"] = "2D"
+    case["extract_TS"] = True
+    res = data.get_output(**case)
+    res = a.rpath + "/results_2D.slf"
+    ds = xr.open_dataset(res, engine="selafin")
+    if "WH" in ds.variables:
+        max_WH = ds.WH.max().values
+        assert np.isclose(max_WH, 4.13, atol=1e-2)
+    elif "S" in ds.variables:
+        max_S = ds.S.max().values
+        assert max_S < 1
+    else:
+        pass
diff --git a/tests/test_telemac_cast.py b/tests/test_telemac_cast.py
new file mode 100644
index 00000000..55bebdaf
--- /dev/null
+++ b/tests/test_telemac_cast.py
@@ -0,0 +1,202 @@
+from copy import deepcopy
+import datetime
+import filecmp
+import os
+import xarray as xr
+
+import numpy as np
+import pytest
+import pyposeidon
+from pyposeidon.utils import cast, data
+import pandas as pd
+
+from . import DATA_DIR
+
+
+MESH_FILE = (DATA_DIR / "hgrid.gr3").as_posix()
+DEM_FILE = (DATA_DIR / "dem.nc").as_posix()
+METEO_FILES_1 = [(DATA_DIR / name).as_posix() for name in ("uvp_2018100100.grib", "uvp_2018100112.grib")]
+METEO_FILES_2 = [
+    (DATA_DIR / name).as_posix()
+    for name in (
+        "uvp_2018100100.grib",
+        "uvp_2018100112.grib",
+        "uvp_2018100200.grib",
+        "uvp_2018100212.grib",
+    )
+]
+
+
+# define in a dictionary the properties of the model..
+test_case = {
+    "solver_name": "telemac",
+    "mesh_file": MESH_FILE,
+    "tag": "telemac2d",
+    "start_date": "2018-10-1 0:0:0",
+    "time_frame": "12h",
+    "dem_source": DEM_FILE,
+    "meteo_source": METEO_FILES_1,
+    "meteo_merge": "last",  # combine meteo
+    "meteo_combine_by": "nested",
+    "meteo_xr_kwargs": {"concat_dim": "step"},
+    "update": ["all"],  # update only meteo, keep dem
+    "parameters": {
+        "dt": 200,
+    },
+}
+
+# define in a dictionary the properties of the model..
+check = {
+    "solver_name": "telemac",
+    "mesh_file": MESH_FILE,
+    "tag": "telemac2d",
+    "start_date": "2018-10-1 0:0:0",
+    "time_frame": "36h",
+    "dem_source": DEM_FILE,
+    "meteo_source": METEO_FILES_2,
+    "meteo_merge": "last",  # combine meteo
+    "meteo_combine_by": "nested",
+    "meteo_xr_kwargs": {"concat_dim": "step"},
+    "update": ["all"],  # update only meteo, keep dem
+    "parameters": {
+        "dt": 200,
+    },
+}
+
+
+@pytest.mark.telemac
+@pytest.mark.parametrize(
+    "copy",
+    [pytest.param(True, id="copy files"), pytest.param(False, id="symlink files")],
+)
+def test_telemac_cast(tmpdir, copy):
+    base_rpath = os.path.join(tmpdir, "telemac")
+    original_rpath = os.path.join(base_rpath, "20181001.00")
+    next_rpath = os.path.join(base_rpath, "20181001.12")
+
+    # initialize a model
+    original_model_info = deepcopy(test_case)
+    original_model_info.update(
+        {
+            "rpath": original_rpath,
+        },
+    )
+    original_model = pyposeidon.model.set(**original_model_info)
+    original_model.create()  # constructs all required parts e.g. mesh, dem, meteo, etc.
+    original_model.mesh.Dataset.type[:] = "closed"
+    original_model.output()  # save to files
+    original_model.save()  # saves the json model reference file
+    original_model.set_obs()  # setup station points
+    original_model.run()
+
+    casted = cast.set(
+        solver_name="telemac",
+        model=original_model,
+        ppath=original_model.rpath,  # old path
+        cpath=next_rpath,  # new path
+        meteo=METEO_FILES_1,
+        sdate=pd.to_datetime("2018-10-01 12:00:00"),
+        # end_date=end_,  # new end date
+        start=pd.to_datetime("2018-10-01 12:00:00"),  # start
+        copy=copy,
+    )
+    casted.run(execute=False)
+
+    copied_files = []
+    if copy:
+        copied_files.extend(cast.TelemacCast.model_files)
+
+    for filename in copied_files:
+        original_file = os.path.join(original_model.rpath, filename)
+        if os.path.exists(original_file):
+            copied_file = os.path.join(next_rpath, filename)
+            assert os.path.exists(copied_file)
+            assert not os.path.islink(copied_file)
+            assert filecmp.cmp(original_file, copied_file, shallow=False)
+
+    if not copy:
+        for filename in cast.TelemacCast.model_files:
+            original_file = os.path.join(original_model.rpath, filename)
+            if os.path.exists(original_file):
+                symlinked_file = os.path.join(next_rpath, filename)
+                assert os.path.exists(symlinked_file)
+                assert os.path.islink(symlinked_file)
+                if not os.path.islink(original_file):
+                    assert os.path.realpath(symlinked_file) == original_file
+
+
+@pytest.mark.telemac
+def test_telemac_cast_workflow(tmpdir):
+    # initialize a model
+    rpath = str(tmpdir) + "/telemac/"
+    test_case.update({"rpath": rpath + "20181001.00/"})  # use tmpdir for running the model
+
+    b = pyposeidon.model.set(**test_case)
+
+    b.create()
+    b.mesh.Dataset.type[:] = "closed"
+    b.output()
+    b.save()
+    b.set_obs()
+    b.run()
+
+    # creating a time sequence of the runs
+    start_date = pd.to_datetime("2018-10-1 0:0:0")
+    end_date = pd.to_datetime("2018-10-2 0:0:0")
+    date_list = pd.date_range(start_date, end_date, freq="12h")
+
+    # creating a sequence of folder to store the runs. In this case we name them after the date attribute.
+    # NOTE: the first folder is the first run already performed
+    rpaths = [rpath + datetime.datetime.strftime(x, "%Y%m%d.%H") + "/" for x in date_list]
+
+    # creating a sequence of folder from which we read the meteo.
+    meteo = []
+    for date in date_list:
+        end_date = pd.to_datetime(date) + pd.to_timedelta("12h")
+        end_date = end_date.strftime(format="%Y-%m-%d %H:%M:%S")
+        dr = pd.date_range(date, end_date, freq="12h")
+        names = ["uvp_" + datetime.datetime.strftime(x, "%Y%m%d%H") + ".grib" for x in dr]
+        dur = [(DATA_DIR / name).as_posix() for name in names]
+        meteo.append(dur)
+
+    # set cast
+    for l in range(len(rpaths) - 1):
+        h = cast.set(
+            solver_name="telemac",
+            model=b,
+            ppath=rpaths[l],
+            cpath=rpaths[l + 1],
+            meteo=meteo[l + 1],
+            sdate=date_list[l + 1],
+            end_date=date_list[l + 1] + pd.to_timedelta("12h"),
+            start=date_list[l + 1],
+        )
+
+        b2 = h.run(execute=False)
+        b2.run()
+
+    # Run check case - Total duration
+    check.update({"rpath": rpath + "check/"})  # use tmpdir for running the model
+
+    c = pyposeidon.model.set(**check)
+
+    c.create()
+    c.mesh.Dataset.type[:] = "closed"
+    c.output()
+    c.save()
+    c.set_obs()
+    c.run()
+
+    # COMPARE
+    ds = xr.open_mfdataset([p + "/results_2D.slf" for p in rpaths])
+    ds = ds.drop_duplicates("time", keep="first")  # remove duplicate time stamps
+    ds_check = xr.open_dataset(rpath + "/check/results_2D.slf")
+
+    for var in ["S"]:
+        flag = False
+        inode = np.random.randint(len(ds.x))
+        mdif = np.abs(ds[var].isel(node=inode).values - ds_check[var].isel(node=inode).values).max()
+        if mdif < 1.0e-14:
+            flag = True
+
+    assert flag
diff --git a/tests/utils/test_cpoint.py b/tests/utils/test_cpoint.py
index e0942650..c26b969b 100644
--- a/tests/utils/test_cpoint.py
+++ b/tests/utils/test_cpoint.py
@@ -11,19 +11,23 @@
 
 @pytest.fixture(scope="session")
 def mesh_nodes():
-    return pd.DataFrame({
-        "lon": [0, 10, 20],
-        "lat": [0, 5, 0],
-    })
+    return pd.DataFrame(
+        {
+            "lon": [0, 10, 20],
+            "lat": [0, 5, 0],
+        }
+    )
 
 
 @pytest.fixture(scope="session")
 def points():
-    return pd.DataFrame({
-        "lon": [1, 11, 21, 2],
-        "lat": [1, 4, 1, 2],
-        "id": ["a", "b", "c", "d"],
-    })
+    return pd.DataFrame(
+        {
+            "lon": [1, 11, 21, 2],
+            "lat": [1, 4, 1, 2],
+            "id": ["a", "b", "c", "d"],
+        }
+    )
 
 
 @pytest.fixture(scope="session")
@@ -41,7 +45,7 @@ def test_find_nearest_nodes(mesh_nodes, points):
     assert nearest_nodes.distance.max() < 320_000
 
 
-@pytest.mark.parametrize("k", [pytest.param(2, id='2 points'), pytest.param(3, id='3 points')])
+@pytest.mark.parametrize("k", [pytest.param(2, id="2 points"), pytest.param(3, id="3 points")])
 def test_find_nearest_nodes_multiple_points_and_pass_tree_as_argument(mesh_nodes, points, k, ball_tree):
     nearest_nodes = find_nearest_nodes(mesh_nodes, points, k=k, tree=ball_tree)
     assert isinstance(nearest_nodes, pd.DataFrame)
diff --git a/tests/utils/test_obs.py b/tests/utils/test_obs.py
index 47339538..d1b8718b 100644
--- a/tests/utils/test_obs.py
+++ b/tests/utils/test_obs.py
@@ -17,17 +17,19 @@ def test_serialize_stations(tmp_path):
         3 20.0000000000 0.0000000000 0 	!	 c 2 21.0000000000 1.0000000000 1 157249.3812719441
         """
     )
-    stations = pd.DataFrame({
-        'lon': [1., 11., 21.],
-        'lat': [1., 4., 1.],
-        'unique_id': ["a", "b", "c"],
-        'extra_col': ["AA", "BB", "CC"],
-        'mesh_index': [0, 1, 2],
-        'mesh_lon': [0., 10., 20.],
-        'mesh_lat': [0., 5., 0.],
-        'distance': [157249.38127194397, 157010.16264060183, 157249.38127194406],
-        'depth': [3, 5, 1],
-    })
+    stations = pd.DataFrame(
+        {
+            "lon": [1.0, 11.0, 21.0],
+            "lat": [1.0, 4.0, 1.0],
+            "unique_id": ["a", "b", "c"],
+            "extra_col": ["AA", "BB", "CC"],
+            "mesh_index": [0, 1, 2],
+            "mesh_lon": [0.0, 10.0, 20.0],
+            "mesh_lat": [0.0, 5.0, 0.0],
+            "distance": [157249.38127194397, 157010.16264060183, 157249.38127194406],
+            "depth": [3, 5, 1],
+        }
+    )
     path = tmp_path / "station.in"
     serialize_stations(stations, path)
     contents = path.read_text()