analysisData_monthly.ipynb

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   "cell_type": "markdown",
   "id": "0037c146-943a-43df-b5d6-d1d0b5a8189a",
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    "# Global mean Sea Surface Temperatures\n",
    "\n",
    "**sst** - SST monthly mean (time: 492,lat: 720,lon: 1440)\n",
    "\n",
    "**sst_Wmean** - SST weighted global mean (time)\n",
    "\n",
    "**sst_Clim** - monthly climatology (month: 12lat: 720lon: 1440)\n",
    "\n",
    "**sst_anom** - anomaly from monthly Climatology (time: 492, lat: 720,lon: 1440)\n",
    "\n",
    "**sst_anom_Wmean** - SST anomlay weighted global mean (time: 492)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1df62f37-e43c-4f83-9107-5cebfdbacca9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "from matplotlib.dates import DateFormatter\n",
    "import platform\n",
    "import os\n",
    "\n",
    "from dask.distributed import Client\n",
    "from dask import delayed\n",
    "import dask\n",
    "\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (10, 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e010352-6479-443b-8466-06aac184f261",
   "metadata": {},
   "source": [
    "#### Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "179e0375-59be-4408-b790-1696f1116112",
   "metadata": {},
   "outputs": [],
   "source": [
    "year1=1982\n",
    "year2=2023"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "95fc918c-c177-4c1c-bee5-efd9e7fe07fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#To compute de climatoloy\n",
    "yearC1='1982'\n",
    "yearC2='1992'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f20d6e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "HOME=os.environ['HOME']\n",
    "USER=os.environ['USER']   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87781c5c-5ee1-4068-9962-e9cef21a2291",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c48e104c-74f0-42da-b07f-59e2c92d6adb",
   "metadata": {},
   "outputs": [],
   "source": [
    "if os.uname().nodename.lower().find('eemmmbp') != -1:\n",
    "    base_file = HOME + '/Dropbox/Oceanografia/Data/Satelite/noaa.oisst.v2.highres/NC/sst.day.mean'\n",
    "    dataDir   = './data'\n",
    "elif os.uname().nodename.lower().find('rossby') != -1:\n",
    "    base_file = '/data/shareddata/Satelite/noaa.oisst.v2.highres/NC/sst.day.mean'\n",
    "    dataDir   = HOME + '/Analisis/SSTGlobalAnalysis/data'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ad28ed15-b5bb-42d2-9c3c-a0138e09a579",
   "metadata": {},
   "outputs": [],
   "source": [
    "files = [f'{base_file}.{year}.nc' for year in range(year1, year2+1)]\n",
    "DS = xr.open_mfdataset(files, chunks={'time': 100})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4e343455-0ac8-4b0b-a3e1-75580848d3b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#titulo_short = 'GO'\n",
    "#titulo = 'Global Ocean'\n",
    "#sst = DS.sst.sel(lat=slice( -88, 88))\n",
    "\n",
    "#titulo_short = 'NH'\n",
    "#titulo = 'Northern hemisphere'\n",
    "#sst = sst.sst.sel(lat=slice(0,88))\n",
    "\n",
    "#titulo_short = 'SH'\n",
    "#titulo = 'Southern hemisphere'\n",
    "#sst = sst.sst.sel(lat=slice( -88, 0))\n",
    "\n",
    "titulo_short = 'NAtl'\n",
    "titulo = 'NorthAtlantic'\n",
    "sst = DS.sst.sel(lat=slice(0, 80))\n",
    "\n",
    "basins = xr.open_dataset('./data/basins.nc')\n",
    "basin_surf = basins.basin[0]\n",
    "\n",
    "basin_surf_interp = basin_surf.interp_like(sst, method='nearest')\n",
    "sst = sst.where((basin_surf_interp==1) | (basin_surf_interp==4) ,drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d94f1d6-ab3c-4fff-8423-85670d7474b1",
   "metadata": {},
   "source": [
    "### Resample data to 1 month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c5cf12a1-1f35-452c-a172-3edc2e1feb48",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (time: 15340, lat: 264, lon: 528)&gt; Size: 9GB\n",
       "dask.array&lt;where, shape=(15340, 264, 528), dtype=float32, chunksize=(100, 264, 528), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 123kB 1982-01-01 1982-01-02 ... 2023-12-31\n",
       "  * lat      (lat) float32 1kB 0.125 0.375 0.625 0.875 ... 65.38 65.62 65.88\n",
       "  * lon      (lon) float32 2kB 0.625 0.875 1.125 1.375 ... 358.9 359.1 359.4\n",
       "    Z        float32 4B 0.0\n",
       "Attributes:\n",
       "    long_name:     Daily Sea Surface Temperature\n",
       "    units:         degC\n",
       "    valid_range:   [-3. 45.]\n",
       "    precision:     2.0\n",
       "    dataset:       NOAA High-resolution Blended Analysis\n",
       "    var_desc:      Sea Surface Temperature\n",
       "    level_desc:    Surface\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Individual Observations\n",
       "    actual_range:  [-1.8  34.48]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 15340</li><li><span class='xr-has-index'>lat</span>: 264</li><li><span class='xr-has-index'>lon</span>: 528</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c48a1cd7-5149-4877-9e06-ac796024b5d9' class='xr-array-in' type='checkbox' checked><label for='section-c48a1cd7-5149-4877-9e06-ac796024b5d9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(100, 264, 528), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
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       "                        <th> Bytes </th>\n",
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       "                        <td> 53.17 MiB </td>\n",
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       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-a06f4f41-f0e0-4407-bafa-117b4cc43f02' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a06f4f41-f0e0-4407-bafa-117b4cc43f02' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1982-01-01 ... 2023-12-31</div><input id='attrs-319410bc-52c7-4d23-b8a3-019a650bb5cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-319410bc-52c7-4d23-b8a3-019a650bb5cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57862f42-d8ba-41c8-b409-7769189c5da4' class='xr-var-data-in' type='checkbox'><label for='data-57862f42-d8ba-41c8-b409-7769189c5da4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[66474. 66838.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1982-01-01T00:00:00.000000000&#x27;, &#x27;1982-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-01-03T00:00:00.000000000&#x27;, ..., &#x27;2023-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2023-12-30T00:00:00.000000000&#x27;, &#x27;2023-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 65.62 65.88</div><input id='attrs-925c8e73-ba90-421c-9d07-e71645e5d575' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-925c8e73-ba90-421c-9d07-e71645e5d575' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39f44163-46f7-4dc6-a065-a30ebf7bfdba' class='xr-var-data-in' type='checkbox'><label for='data-39f44163-46f7-4dc6-a065-a30ebf7bfdba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[-89.875  89.875]</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 0.125,  0.375,  0.625, ..., 65.375, 65.625, 65.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.625 0.875 1.125 ... 359.1 359.4</div><input id='attrs-bd70965b-c728-452b-a4a5-cddf66634b49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd70965b-c728-452b-a4a5-cddf66634b49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-273e412d-c379-4b0d-b644-973e1b802737' class='xr-var-data-in' type='checkbox'><label for='data-273e412d-c379-4b0d-b644-973e1b802737' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>actual_range :</span></dt><dd>[1.25000e-01 3.59875e+02]</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0.625,   0.875,   1.125, ..., 358.875, 359.125, 359.375],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-d5c8a646-ed9a-41d2-901a-1e755807d101' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5c8a646-ed9a-41d2-901a-1e755807d101' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b1fd598-6915-4f0c-a5c5-e2733f4efc89' class='xr-var-data-in' type='checkbox'><label for='data-1b1fd598-6915-4f0c-a5c5-e2733f4efc89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e7fc8655-83b5-40cc-bb03-efcf2397125b' class='xr-section-summary-in' type='checkbox'  ><label for='section-e7fc8655-83b5-40cc-bb03-efcf2397125b' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-24fcdf00-d857-441e-a093-983c69c31541' class='xr-index-data-in' type='checkbox'/><label for='index-24fcdf00-d857-441e-a093-983c69c31541' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1982-01-01&#x27;, &#x27;1982-01-02&#x27;, &#x27;1982-01-03&#x27;, &#x27;1982-01-04&#x27;,\n",
       "               &#x27;1982-01-05&#x27;, &#x27;1982-01-06&#x27;, &#x27;1982-01-07&#x27;, &#x27;1982-01-08&#x27;,\n",
       "               &#x27;1982-01-09&#x27;, &#x27;1982-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2023-12-22&#x27;, &#x27;2023-12-23&#x27;, &#x27;2023-12-24&#x27;, &#x27;2023-12-25&#x27;,\n",
       "               &#x27;2023-12-26&#x27;, &#x27;2023-12-27&#x27;, &#x27;2023-12-28&#x27;, &#x27;2023-12-29&#x27;,\n",
       "               &#x27;2023-12-30&#x27;, &#x27;2023-12-31&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=15340, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c6143356-bd50-4d23-bd72-6e2976846b0a' class='xr-index-data-in' type='checkbox'/><label for='index-c6143356-bd50-4d23-bd72-6e2976846b0a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.125,  0.375,  0.625,  0.875,  1.125,  1.375,  1.625,  1.875,  2.125,\n",
       "        2.375,\n",
       "       ...\n",
       "       63.625, 63.875, 64.125, 64.375, 64.625, 64.875, 65.125, 65.375, 65.625,\n",
       "       65.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=264))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e14f5276-a488-45f3-8007-eb40bfa0fd8f' class='xr-index-data-in' type='checkbox'/><label for='index-e14f5276-a488-45f3-8007-eb40bfa0fd8f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.625,   0.875,   1.125,   1.375,   1.625,   1.875,   2.125,   2.375,\n",
       "         2.625,   2.875,\n",
       "       ...\n",
       "       357.125, 357.375, 357.625, 357.875, 358.125, 358.375, 358.625, 358.875,\n",
       "       359.125, 359.375],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=528))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b87dfc2-2a22-4c2e-b194-cef7c23e9495' class='xr-section-summary-in' type='checkbox'  ><label for='section-3b87dfc2-2a22-4c2e-b194-cef7c23e9495' class='xr-section-summary' >Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Daily Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>valid_range :</span></dt><dd>[-3. 45.]</dd><dt><span>precision :</span></dt><dd>2.0</dd><dt><span>dataset :</span></dt><dd>NOAA High-resolution Blended Analysis</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>parent_stat :</span></dt><dd>Individual Observations</dd><dt><span>actual_range :</span></dt><dd>[-1.8  34.48]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'sst' (time: 15340, lat: 264, lon: 528)> Size: 9GB\n",
       "dask.array<where, shape=(15340, 264, 528), dtype=float32, chunksize=(100, 264, 528), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 123kB 1982-01-01 1982-01-02 ... 2023-12-31\n",
       "  * lat      (lat) float32 1kB 0.125 0.375 0.625 0.875 ... 65.38 65.62 65.88\n",
       "  * lon      (lon) float32 2kB 0.625 0.875 1.125 1.375 ... 358.9 359.1 359.4\n",
       "    Z        float32 4B 0.0\n",
       "Attributes:\n",
       "    long_name:     Daily Sea Surface Temperature\n",
       "    units:         degC\n",
       "    valid_range:   [-3. 45.]\n",
       "    precision:     2.0\n",
       "    dataset:       NOAA High-resolution Blended Analysis\n",
       "    var_desc:      Sea Surface Temperature\n",
       "    level_desc:    Surface\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Individual Observations\n",
       "    actual_range:  [-1.8  34.48]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "aa9e7b42-b84b-4346-abfc-882e10eff475",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Monthly mean\n",
    "sst = sst.resample(time='ME').mean(dim='time',skipna=True).load()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11c5526e-56d0-43a4-be11-034704a691d5",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Global mean\n",
    "(weigthed and unweigthed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "22d9dedd-dbf1-4a6d-9b0b-0b0a86bce239",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate global mean weigthtened\n",
    "# For a rectangular grid the cosine of the latitude is proportional to the grid cell area.\n",
    "weights = np.cos(np.deg2rad(sst.lat))\n",
    "weights = weights/weights.max()\n",
    "weights.name = \"weights\"\n",
    "sst_weighted = sst.weighted(weights)\n",
    "sst_wmean = sst_weighted.mean((\"lon\", \"lat\"),skipna=True).load()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45e6a57e-e5e4-49a3-8605-90baeb6d2bd8",
   "metadata": {},
   "source": [
    "## Seasonal cycle\n",
    "Create seasonal climatology from 1982 to 1992 and the asociated anomaly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "87d2927d-d7c1-4686-8886-a5d2d999ee54",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Create monthly climatology\n",
    "sst_clim = sst.sel(time=slice(yearC1,yearC2)).groupby('time.month').mean(dim='time').load();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "211294d4-6a6d-4848-aaef-ba4dc7fa0705",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Create anomaly\n",
    "sst_anom = sst.groupby('time.month') - sst_clim\n",
    "sst_anom.load();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b0b4008-f994-427e-982b-411c68a9cf4b",
   "metadata": {},
   "source": [
    "## Global mean anomaly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1363f1e9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Calculate global mean weigthtened\n",
    "# For a rectangular grid the cosine of the latitude is proportional to the grid cell area.\n",
    "weights = np.cos(np.deg2rad(sst.lat))\n",
    "weights = weights/weights.max()\n",
    "weights.name = \"weights\"\n",
    "sst_anom_weighted = sst_anom.weighted(weights)\n",
    "sst_anom_wmean = sst_anom_weighted.mean((\"lon\", \"lat\"),skipna=True).load()\n",
    "sst_anom_wmean_rolling = sst_anom_wmean.rolling(time=12,center=True).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e236e566-e477-436a-9587-e336224ebe92",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Mean Sea Surface Temperature in the NorthAtlantic')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1 , figsize=(10,4))\n",
    "ax.plot(sst_wmean.time,sst_wmean)\n",
    "ax.grid()\n",
    "ax.legend()\n",
    "ax.set_title('Mean Sea Surface Temperature in the '+ titulo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "13aec260-bce2-4d4d-a388-c2610c7437ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Mean Sea Surface Temperature anomaly in the NorthAtlantic\\nAnomaly computed from 1982-1992')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1 , figsize=(10,4))\n",
    "ax.plot(sst_anom_wmean.time,sst_anom_wmean,'b')\n",
    "ax.plot(sst_anom_wmean_rolling.time,sst_anom_wmean_rolling,'r')\n",
    "\n",
    "ax.plot(sst_anom_wmean.time.isel(sst_anom_wmean.argmax(...)),\n",
    "        sst_anom_wmean.isel(sst_anom_wmean.argmax(...)),'ro')\n",
    "ax.plot(sst_anom_wmean.time.isel(sst_anom_wmean.argmin(...)),\n",
    "        sst_anom_wmean.isel(sst_anom_wmean.argmin(...)),'bo')\n",
    "\n",
    "ax.grid()\n",
    "ax.legend()\n",
    "ax.set_title('Mean Sea Surface Temperature anomaly in the '+ titulo + '\\nAnomaly computed from 1982-1992')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3d75dabb-3c60-49b4-9bba-3aba23d137f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1 , figsize=(5,5))\n",
    "ax.contourf(sst_clim.mean(dim='lon').month,\n",
    "                 sst_clim.mean(dim='lon').lat,\n",
    "                 sst_clim.mean(dim='lon').transpose(),levels=12, vmin=-2, vmax=30)\n",
    "ax.set_ylim(-78,78)\n",
    "ax.grid()\n",
    "ax.set_title('Seasonal Climatoloy (' + yearC1 + '-' + yearC2 + ')')\n",
    "ax.set_ylabel('Latitude') \n",
    "ax.set_xlabel('Month')\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "641c508c-4db0-4b5f-8bc6-7829729559b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "sst.to_netcdf('./data/sstm_'+titulo_short+'.nc',mode='w')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d5df7955-5139-4888-a196-83a3f7b0ce57",
   "metadata": {},
   "outputs": [],
   "source": [
    "sst_anom.to_netcdf(dataDir+'/sstm_anom_'+titulo_short+'.nc',mode='w')\n",
    "sst_wmean.to_netcdf(dataDir+'/sstm_mean_'+titulo_short+'.nc',mode='w')\n",
    "sst_anom_wmean.to_netcdf(dataDir+'/sstm_anom_mean_'+titulo_short+'.nc',mode='w')\n",
    "\n",
    "#sst_clim.to_netcdf('./data/sstm_clim_'+titulo_short+'.nc',mode='w')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d37388e5-72bd-4a06-865a-0bcd47378bd4",
   "metadata": {},
   "source": [
    "## Annex A"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d24c316f-8ba8-49bb-9050-6a2e5dc315da",
   "metadata": {},
   "source": [
    "### Compare weigthtened and unweigthtened global means"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dbbf4389-ecd9-4db2-af35-cf9aa477cad5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Calculate global mean unweigthtened\n",
    "sst_UWmean = sst.mean(dim='lon',skipna=True).mean(dim='lat',skipna=True).load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "807d64c3-1b00-4dad-9c47-e600ff6472f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "sst_Wmean.plot(label=\"weighted\")\n",
    "sst_UWmean.plot(label=\"unweighted\")\n",
    "plt.grid()\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5a7afa7-261c-4114-881c-70ca4d14b2ab",
   "metadata": {},
   "source": [
    "### Canary Islands example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a83d6b1-0776-4b83-b6cd-3422759a81d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "sst_NorteTenerife = sst.sel(lon=360-16.1188,lat=28.5559,method='nearest').load()\n",
    "sst_anom_NorteTenerife = sst_anom.sel(lon=345,lat=29,method='nearest').load()\n",
    "sst_anom_NorteTenerife_rolling = sst_anom.sel(lon=345,lat=29,method='nearest').rolling(time=12,center=True).mean()\n",
    "sst_NorteTenerife_Y = sst_NorteTenerife.resample(time='1Y').mean(dim='time',skipna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e4c0f3c1-e1ea-45d7-9600-769b1aec8542",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots(1, 1 , figsize=(14,10))\n",
    "ax.plot(sst_NorteTenerife.time,sst_NorteTenerife)\n",
    "ax.grid()\n",
    "ax.legend()\n",
    "ax.set_title('Mean Sea Surface Temperature')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e57d1ac2-6a68-4688-a351-5ed6c5e87ee4",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots(1, 1 , figsize=(14,10))\n",
    "ax.plot(sst_NorteTenerife_Y.time,sst_NorteTenerife_Y)\n",
    "ax.grid()\n",
    "ax.legend()\n",
    "ax.set_title('Mean yearly Seaa Surface Temperature')\n",
    "ax.plot(sst_NorteTenerife_Y.time.isel(sst_NorteTenerife_Y.argmax(...)),\n",
    "           sst_NorteTenerife_Y.isel(sst_NorteTenerife_Y.argmax(...)),'ro')\n",
    "ax.plot(sst_NorteTenerife_Y.time.isel(sst_NorteTenerife_Y.argmin(...)),\n",
    "           sst_NorteTenerife_Y.isel(sst_NorteTenerife_Y.argmin(...)),'bo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2870eb7b-808c-4234-a47b-3da92b5e98e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots(1, 1 , figsize=(14,8))\n",
    "ax.plot(sst_anom_NorteTenerife.time,sst_anom_NorteTenerife,'b')\n",
    "ax.plot(sst_anom_NorteTenerife_rolling.time,sst_anom_NorteTenerife_rolling,'r')\n",
    "ax.plot(sst_anom_NorteTenerife.time.isel(sst_anom_NorteTenerife.argmax(...)),\n",
    "           sst_anom_NorteTenerife.isel(sst_anom_NorteTenerife.argmax(...)),'ro')\n",
    "ax.plot(sst_anom_NorteTenerife.time.isel(sst_anom_NorteTenerife.argmin(...)),\n",
    "           sst_anom_NorteTenerife.isel(sst_anom_NorteTenerife.argmin(...)),'bo')\n",
    "ax.legend()\n",
    "ax.grid()\n",
    "ax.set_title('Mean Sea Surface Temperature anomaly');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba388be2-ad9a-405a-a9cf-41983a393833",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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