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m2lines · Apr 15, 2024 · f8b1eef · f8b1eef
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diff --git a/fossil/DA_methods.py b/fossil/DA_methods.py
@@ -2,6 +2,7 @@
 Adapted form PyDA project: https://github.com/Shady-Ahmed/PyDA
 Reference: https://www.mdpi.com/2311-5521/5/4/225
 """
+
 import numpy as np
 from numba import jit
 

diff --git a/notebooks/DA_demo_L96.ipynb b/notebooks/DA_demo_L96.ipynb
@@ -2,15 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "a013986b",
+   "id": "0",
    "metadata": {},
    "source": [
     "# Data Assimilation demo in the Lorenz 96 (L96) two time-scale model\n"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "c33e3435",
+   "id": "1",
    "metadata": {},
    "source": [
     "## What is DA? Why do we do it?\n",
@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "208a8f14",
+   "id": "2",
    "metadata": {},
    "source": [
     "## Design of the data assimilation experiments in L96\n",
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "66584b6f",
+   "id": "3",
    "metadata": {},
    "source": [
     "### 1. Define our \"GCM\" and DA parameters to use throughout notebook"
@@ -63,7 +63,7 @@
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-   "id": "9f81b262-6d04-44d8-9a61-ada0ea0c9acb",
+   "id": "4",
    "metadata": {
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@@ -83,7 +83,7 @@
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-   "id": "ebf223e6-ed8a-425a-b808-55b0cc59c69c",
+   "id": "5",
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@@ -121,7 +121,7 @@
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@@ -159,7 +159,7 @@
   },
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@@ -174,7 +174,7 @@
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-   "id": "e393d1bd-5838-402d-a381-a617c987d1f8",
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@@ -186,7 +186,7 @@
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+   "id": "9",
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@@ -197,7 +197,7 @@
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-   "id": "18d8e02a-2dec-4724-9175-f5809414533e",
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@@ -216,7 +216,7 @@
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@@ -227,7 +227,7 @@
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-   "id": "ae0f3b33-7cf7-47ae-9460-f735f8d46627",
+   "id": "12",
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@@ -238,7 +238,7 @@
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@@ -249,7 +249,7 @@
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-   "id": "fceac2dd-543e-4688-99ce-a7eb2bcc4e41",
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@@ -273,7 +273,7 @@
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@@ -284,7 +284,7 @@
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-   "id": "66ac4faf-ff3f-4152-bfb9-fcdb1f2c2234",
+   "id": "16",
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@@ -295,7 +295,7 @@
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-   "id": "61df79fe-b945-43be-b08a-b63b93bca400",
+   "id": "17",
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@@ -306,7 +306,7 @@
   {
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-   "id": "1e66be99-a6d1-4134-92a4-e1a2ab8a6916",
+   "id": "18",
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@@ -350,7 +350,7 @@
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-   "id": "8a17c582-090e-48bf-b26a-adbd66fdbefb",
+   "id": "19",
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@@ -361,7 +361,7 @@
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-   "id": "dd8b5cc7",
+   "id": "20",
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@@ -375,7 +375,7 @@
   },
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-   "id": "d3f14f72",
+   "id": "21",
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@@ -388,7 +388,7 @@
   {
    "cell_type": "code",
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-   "id": "e01dbe50-741b-4ce5-88ac-4f583e19d11c",
+   "id": "22",
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@@ -411,7 +411,7 @@
   },
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-   "id": "89ee8b4d-0539-4621-8d45-30769452a155",
+   "id": "23",
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@@ -422,7 +422,7 @@
   {
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-   "id": "abc69e52",
+   "id": "24",
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@@ -435,7 +435,7 @@
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-   "id": "34000d8e-bb3c-4ca7-b760-e186ec7c2f80",
+   "id": "25",
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@@ -454,7 +454,7 @@
   },
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+   "id": "26",
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@@ -467,7 +467,7 @@
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-   "id": "c053ebb0-0e36-41cc-bca5-141ddd15a165",
+   "id": "27",
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@@ -484,7 +484,7 @@
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-   "id": "577e9b3d",
+   "id": "28",
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@@ -503,7 +503,7 @@
   },
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-   "id": "760a249a",
+   "id": "29",
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@@ -524,7 +524,7 @@
   {
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-   "id": "b7c5c9f4-0ae8-4d07-a458-6d2b1ec4af33",
+   "id": "30",
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@@ -543,7 +543,7 @@
   {
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-   "id": "8d49ce4c-2a11-4207-9bd1-05b16607b2fd",
+   "id": "31",
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@@ -558,7 +558,7 @@
   {
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-   "id": "236c576b-be9f-4353-9172-455853f08d2e",
+   "id": "32",
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@@ -583,7 +583,7 @@
   {
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-   "id": "50e95487-435f-4bd4-bfab-6e0cb6893b30",
+   "id": "33",
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@@ -599,7 +599,7 @@
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-   "id": "46ef8b1f",
+   "id": "34",
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@@ -699,7 +699,7 @@
   },
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-   "id": "5d243a69",
+   "id": "35",
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@@ -710,7 +710,7 @@
   {
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-   "id": "f3c37a85-433c-4d2e-a49c-1daf4f6a9ca8",
+   "id": "36",
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@@ -723,7 +723,7 @@
   {
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    "execution_count": null,
-   "id": "3f6f05d0",
+   "id": "37",
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@@ -879,7 +879,7 @@
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-   "id": "63475b82-5e45-4a2c-93f5-f0e089320c7b",
+   "id": "38",
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@@ -890,7 +890,7 @@
   {
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-   "id": "65993585",
+   "id": "39",
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    "outputs": [],
    "source": [

diff --git a/notebooks/DA_methods.py b/notebooks/DA_methods.py
@@ -2,6 +2,7 @@
 Partly adapted form PyDA project: https://github.com/Shady-Ahmed/PyDA
 Reference: https://www.mdpi.com/2311-5521/5/4/225
 """
+
 import numpy as np
 from numba import njit