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    "# Chapter 4: Rising Seas\n",
    "\n",
    "### Generation of plots based on [the relevant Climate Indicators' report](https://climate.copernicus.eu/climate-indicators/sea-level)."
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    "The ocean water in our planet covers over 70% of its surface, making it an ocean world. Not only that, but a large part of the global population resides near the coast, as does a lot of infrastructure and economic assets. Thus, although changes in sea level are a slow process, they can have a substantial impact in our future. \n",
    "\n",
    "In this tutorial we will:\n",
    "1. Search, download, and view data freely available in [Climate Data Store](https://cds.climate.copernicus.eu/cdsapp#!/home) and [Copernicus Marine Service](https://marine.copernicus.eu/access-data).\n",
    "2. Use dask (within `xarray`) for chunking data due to memory limitations.\n",
    "3. Calculate global timeseries and analyse trends.\n",
    "4. Create timeseries plots as well as gridded plots."
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    "<div class=\"alert alert-block alert-info\">    \n",
    "<b>NOTE</b>: \n",
    "Before interacting with the following notebook, please ensure you've reviewed the <a href=\"https://ecmwfcode4earth.github.io/sketchbook-earth/how_to_run_notebooks.html\">How to Execute the Notebooks</a> section.\n",
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    "<style>\n",
    "td, th {\n",
    "   border: 1px solid white;\n",
    "   border-collapse: collapse;\n",
    "}\n",
    "</style>\n",
    "<table align=\"left\">\n",
    "  <tr>\n",
    "    <th>Run the tutorial via free cloud platforms: </th>\n",
    "    <th><a href=\"https://mybinder.org/v2/gh/ECMWFCode4Earth/sketchbook-earth/main?labpath=tutorials/04_sea_level/04_sea_level.ipynb\">\n",
    "        <img src = \"https://mybinder.org/badge.svg\" alt = \"Binder\"></th>\n",
    "    <th><a href=\"https://kaggle.com/kernels/welcome?src=https://github.com/ECMWFCode4Earth/sketchbook-earth/blob/main/tutorials/04_sea_level/04_sea_level.ipynb\">\n",
    "        <img src = \"https://kaggle.com/static/images/open-in-kaggle.svg\" alt = \"Kaggle\"></th>\n",
    "    <th><a href=\"https://colab.research.google.com/github/ECMWFCode4Earth/sketchbook-earth/blob/main/tutorials/04_sea_level/04_sea_level.ipynb\">\n",
    "        <img src = \"https://colab.research.google.com/assets/colab-badge.svg\" alt = \"Colab\"></th>\n",
    "  </tr>\n",
    "</table>"
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   "source": [
    "------------------"
   ]
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   "source": [
    "### Section 1. Install & import the necessary packages.\n",
    "\n",
    "The first step for being able to analyse and plot the data is to download and import the necessary libraries for this tutorial.. We categorized the libraries based on that they are used for: general libraries, libraries for data analysis, and plotting libraries."
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   "source": [
    "# General libraries\n",
    "import urllib.request # retrieve data from ftp server\n",
    "import calendar # date calculations\n",
    "import zipfile # for unzipping data\n",
    "import os # operating system interfaces library\n",
    "import cdsapi # CDS API\n",
    "from scipy.stats import linregress # linear regression for simple trend calculation\n",
    "\n",
    "# Libraries for working with arrays\n",
    "import numpy as np # for n-d arrays\n",
    "import pandas as pd # for 2-d arrays\n",
    "import xarray as xr # for n-d arrays (including metadata for all the dimensions)\n",
    "\n",
    "# Libraries for plotting and visualising data\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "from matplotlib.colors import ListedColormap\n",
    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n",
    "import seaborn as sns\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.mpl.geoaxes"
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   "source": [
    "The below is for having a consistent plotting across all tutorials. It **will NOT work in Google Colab** or other cloud services, unless you include the file `copernicus.mplstyle` (available in the Github repository) in the cloud and in the same directory as this notebook, and use the correct path, e.g.\n",
    "`plt.style.use('copernicus.mplstyle')`."
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('../copernicus.mplstyle') # use the predefined matplotlib style for consistent plotting across all tutorials"
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   "source": [
    "### Section 2. Download data."
   ]
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   "source": [
    "Let's create a folder were all the data will be stored."
   ]
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   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "dir_loc = 'data/' # assign folder for storing the downloaded data\n",
    "os.makedirs(f'{dir_loc}', exist_ok=True) # create the folder if not available"
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    "Enter CDS API key\n",
    "\n",
    "\n",
    "We will request data from the Climate Data Store (CDS) programmatically with the help of the CDS API. Let us make use of the option to manually set the CDS API credentials. First, you have to define two variables: `URL` and `KEY` which build together your CDS API key. The string of characters that make up your KEY include your personal User ID and CDS API key. To obtain these, first register or login to the CDS (http://cds.climate.copernicus.eu), then visit https://cds.climate.copernicus.eu/api-how-to and copy the string of characters listed after \"key:\". Replace the `#########` below with that string."
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   "cell_type": "code",
   "execution_count": 5,
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   "source": [
    "# CDS key\n",
    "cds_url = 'https://cds.climate.copernicus.eu/api/v2'\n",
    "cds_key = '########' # please add your key here the format should be as {uid}:{api-key}"
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   "source": [
    "Get sea level data from [the satellite products that are available at CDS](https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-sea-level-global?tab=form).\n",
    "As you can notice is the page, there is the option to download daily or monthly data. Here we use monthly data for reducing the time and storage requirements. Even with monthly data, it still needs a couple of minutes to get the data from the server, and the zipped file's size is 1Gb."
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  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.makedirs(f'{dir_loc}/monthly/', exist_ok=True) # create the folder for downloading the monthly data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "c = cdsapi.Client(url=cds_url, key=cds_key)\n",
    "\n",
    "c.retrieve(\n",
    "    'satellite-sea-level-global',\n",
    "    {\n",
    "        'version': 'vDT2021',\n",
    "        'format': 'zip',\n",
    "        'variable': 'monthly_mean',\n",
    "        'year': list(range(1993, 2023)),\n",
    "        'month': [('0'+str(i))[-2:] for i in list(range(1, 13))], # the months should be given as 2digit (e.g., '01', '12')\n",
    "    },\n",
    "    f'{dir_loc}/monthly/sea_level.zip')"
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  {
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   "metadata": {},
   "source": [
    "The data are downloaded in zip format. Let's unzip them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "with zipfile.ZipFile(f'{dir_loc}/monthly/sea_level.zip','r') as zip_ref:\n",
    "    zip_ref.extractall(f'{dir_loc}/monthly/') # unzip file\n",
    "\n",
    "os.remove(f'{dir_loc}/monthly/sea_level.zip') # delete original zip file"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read all the unzipped files (each file is for one year-month). This takes a little time ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:           (time: 355, nv: 2, latitude: 720, longitude: 1440)\n",
       "Coordinates:\n",
       "  * time              (time) datetime64[ns] 1993-01-15 1993-02-15 ... 2022-07-15\n",
       "  * latitude          (latitude) float32 -89.88 -89.62 -89.38 ... 89.62 89.88\n",
       "  * longitude         (longitude) float32 0.125 0.375 0.625 ... 359.6 359.9\n",
       "  * nv                (nv) int32 0 1\n",
       "Data variables:\n",
       "    crs               (time) int32 -2147483647 -2147483647 ... -2147483647\n",
       "    climatology_bnds  (time, nv) datetime64[ns] dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
       "    lat_bnds          (time, latitude, nv) float32 dask.array&lt;chunksize=(1, 720, 2), meta=np.ndarray&gt;\n",
       "    lon_bnds          (time, longitude, nv) float32 dask.array&lt;chunksize=(1, 1440, 2), meta=np.ndarray&gt;\n",
       "    sla               (time, latitude, longitude) float64 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    eke               (time, latitude, longitude) float64 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "Attributes: (12/43)\n",
       "    Conventions:                     CF-1.6\n",
       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
       "    cdm_data_type:                   Grid\n",
       "    comment:                         Monthly Mean of Sea Level Anomalies refe...\n",
       "    contact:                         http://climate.copernicus.eu/c3s-user-se...\n",
       "    creator_email:                   http://climate.copernicus.eu/c3s-user-se...\n",
       "    ...                              ...\n",
       "    summary:                         Delayed Time Level-4 monthly means of Se...\n",
       "    time_coverage_duration:          P1M\n",
       "    time_coverage_end:               1993-01-31T00:00:00Z\n",
       "    time_coverage_resolution:        P1M\n",
       "    time_coverage_start:             1993-01-01T00:00:00Z\n",
       "    title:                           DT merged two-satellite Global Ocean L4 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1f24fa08-cf3e-42b3-9dd0-9f7ac16cfc4c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1f24fa08-cf3e-42b3-9dd0-9f7ac16cfc4c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 355</li><li><span class='xr-has-index'>nv</span>: 2</li><li><span class='xr-has-index'>latitude</span>: 720</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d11346d3-df76-47f7-9f26-2fc7b90c5c7e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d11346d3-df76-47f7-9f26-2fc7b90c5c7e' 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'>1993-01-15 ... 2022-07-15</div><input id='attrs-53604983-5fba-437e-92c9-f2edd67266c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53604983-5fba-437e-92c9-f2edd67266c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cbad9da-cfe3-4a36-b243-12ff2ed193b0' class='xr-var-data-in' type='checkbox'><label for='data-6cbad9da-cfe3-4a36-b243-12ff2ed193b0' 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>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>climatology_bnds</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1993-01-15T00:00:00.000000000&#x27;, &#x27;1993-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-03-15T00:00:00.000000000&#x27;, ..., &#x27;2022-05-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-15T00:00:00.000000000&#x27;, &#x27;2022-07-15T00:00:00.000000000&#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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-ef509f9d-6289-4c78-8801-eac366f049e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef509f9d-6289-4c78-8801-eac366f049e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e00913e7-184a-4947-a71f-f9d4f85c3026' class='xr-var-data-in' type='checkbox'><label for='data-e00913e7-184a-4947-a71f-f9d4f85c3026' 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>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><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>valid_max :</span></dt><dd>89.875</dd><dt><span>valid_min :</span></dt><dd>-89.875</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-1be5d9b9-c8e2-4765-a162-bcaa76453a74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1be5d9b9-c8e2-4765-a162-bcaa76453a74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b420390-367a-4792-a116-e3ae229b2095' class='xr-var-data-in' type='checkbox'><label for='data-6b420390-367a-4792-a116-e3ae229b2095' 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>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><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>valid_max :</span></dt><dd>359.875</dd><dt><span>valid_min :</span></dt><dd>0.125</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
       "       3.59875e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-61b67ef3-0674-48d8-84c0-55eefe6abe16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61b67ef3-0674-48d8-84c0-55eefe6abe16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3d52e6f-1eee-4258-a5e2-e197b10fe2da' class='xr-var-data-in' type='checkbox'><label for='data-f3d52e6f-1eee-4258-a5e2-e197b10fe2da' 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>comment :</span></dt><dd>Vertex.</dd><dt><span>long_name :</span></dt><dd>Number of cell vertices</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([0, 1], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53207566-8d8c-46cf-8878-4b016f22ecfc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-53207566-8d8c-46cf-8878-4b016f22ecfc' class='xr-section-summary' >Data variables: <span>(6)</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>crs</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-2147483647 ... -2147483647</div><input id='attrs-0da7526b-cde9-4bbc-ab72-b9f50d27801b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0da7526b-cde9-4bbc-ab72-b9f50d27801b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eed01da2-82a1-41e8-906a-04a93f02a78c' class='xr-var-data-in' type='checkbox'><label for='data-eed01da2-82a1-41e8-906a-04a93f02a78c' 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>comment :</span></dt><dd>This is a container variable that describes the grid_mapping used by the data in this file. This variable does not contain any data; only information about the geographic coordinate system.</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>inverse_flattening :</span></dt><dd>298.257</dd><dt><span>semi_major_axis :</span></dt><dd>6378136.3</dd></dl></div><div class='xr-var-data'><pre>array([-2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "...\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647,\n",
       "       -2147483647, -2147483647, -2147483647, -2147483647, -2147483647],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>climatology_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-64bc5545-3d6b-4c5d-b261-c1262fd43109' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-64bc5545-3d6b-4c5d-b261-c1262fd43109' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2d1103a-49a0-4c99-8116-4432265be407' class='xr-var-data-in' type='checkbox'><label for='data-c2d1103a-49a0-4c99-8116-4432265be407' 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'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.55 kiB </td>\n",
       "                        <td> 16 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (355, 2) </td>\n",
       "                        <td> (1, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 355 chunks in 711 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(time, latitude, nv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 720, 2), meta=np.ndarray&gt;</div><input id='attrs-f1b09549-22e8-4f26-9971-bbfa98c769ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1b09549-22e8-4f26-9971-bbfa98c769ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2318940-0364-4c33-af04-ea60de5e297e' class='xr-var-data-in' type='checkbox'><label for='data-b2318940-0364-4c33-af04-ea60de5e297e' 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>comment :</span></dt><dd>latitude values at the north and south bounds of each pixel.</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.95 MiB </td>\n",
       "                        <td> 5.62 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (355, 720, 2) </td>\n",
       "                        <td> (1, 720, 2) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 355 chunks in 1066 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(time, longitude, nv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1440, 2), meta=np.ndarray&gt;</div><input id='attrs-9e137bbd-fe9d-4471-9476-69cf95a85526' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e137bbd-fe9d-4471-9476-69cf95a85526' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b316b816-2c37-4ce3-9671-894ec82b18be' class='xr-var-data-in' type='checkbox'><label for='data-b316b816-2c37-4ce3-9671-894ec82b18be' 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>comment :</span></dt><dd>longitude values at the west and east bounds of each pixel.</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 3.90 MiB </td>\n",
       "                        <td> 11.25 kiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sla</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-fefd7f1b-b252-4378-9dab-b9c9f80abad3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fefd7f1b-b252-4378-9dab-b9c9f80abad3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f51c5c0-37ed-4c16-b3b2-0354c14e3266' class='xr-var-data-in' type='checkbox'><label for='data-1f51c5c0-37ed-4c16-b3b2-0354c14e3266' 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>cell_methods :</span></dt><dd>time: mean within years</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Averaged Sea Level Anomalies 1993/01</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_sea_level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.74 GiB </td>\n",
       "                        <td> 7.91 MiB </td>\n",
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       "                        <td> (1, 720, 1440) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 355 chunks in 711 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eke</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-29eb94e0-49b3-4fc4-9e84-23941af6c6dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29eb94e0-49b3-4fc4-9e84-23941af6c6dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ad732c0-9858-41dd-83b3-6ce0cd3f457d' class='xr-var-data-in' type='checkbox'><label for='data-2ad732c0-9858-41dd-83b3-6ce0cd3f457d' 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>cell_methods :</span></dt><dd>time: mean within years</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Averaged Eddy Kinetic Energy 1993/01</dd><dt><span>standard_name :</span></dt><dd>specific_kinetic_energy_of_sea_water</dd><dt><span>units :</span></dt><dd>cm2/s2</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.74 GiB </td>\n",
       "                        <td> 7.91 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (355, 720, 1440) </td>\n",
       "                        <td> (1, 720, 1440) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 355 chunks in 711 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-81cdd05a-1e4e-494a-9dfa-27b600eac7e4' class='xr-section-summary-in' type='checkbox'  ><label for='section-81cdd05a-1e4e-494a-9dfa-27b600eac7e4' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b46b0f09-7efa-42de-bc1a-174127912bcc' class='xr-index-data-in' type='checkbox'/><label for='index-b46b0f09-7efa-42de-bc1a-174127912bcc' 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;1993-01-15&#x27;, &#x27;1993-02-15&#x27;, &#x27;1993-03-15&#x27;, &#x27;1993-04-15&#x27;,\n",
       "               &#x27;1993-05-15&#x27;, &#x27;1993-06-15&#x27;, &#x27;1993-07-15&#x27;, &#x27;1993-08-15&#x27;,\n",
       "               &#x27;1993-09-15&#x27;, &#x27;1993-10-15&#x27;,\n",
       "               ...\n",
       "               &#x27;2021-10-15&#x27;, &#x27;2021-11-15&#x27;, &#x27;2021-12-15&#x27;, &#x27;2022-01-15&#x27;,\n",
       "               &#x27;2022-02-15&#x27;, &#x27;2022-03-15&#x27;, &#x27;2022-04-15&#x27;, &#x27;2022-05-15&#x27;,\n",
       "               &#x27;2022-06-15&#x27;, &#x27;2022-07-15&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=355, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8067bd85-dc62-49a5-bdb1-189f3d2f5b35' class='xr-index-data-in' type='checkbox'/><label for='index-8067bd85-dc62-49a5-bdb1-189f3d2f5b35' 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([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-94f0893e-0c59-4480-a83c-03b2eeef1f18' class='xr-index-data-in' type='checkbox'/><label for='index-94f0893e-0c59-4480-a83c-03b2eeef1f18' 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,\n",
       "         2.125,   2.375,\n",
       "       ...\n",
       "       357.625, 357.875, 358.125, 358.375, 358.625, 358.875, 359.125, 359.375,\n",
       "       359.625, 359.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>nv</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-548bae03-ff40-4af2-8b19-c2597261167a' class='xr-index-data-in' type='checkbox'/><label for='index-548bae03-ff40-4af2-8b19-c2597261167a' 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, 1], dtype=&#x27;int32&#x27;, name=&#x27;nv&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c6270043-e8c6-45f2-8bc4-e95bbf6f243f' class='xr-section-summary-in' type='checkbox'  ><label for='section-c6270043-e8c6-45f2-8bc4-e95bbf6f243f' class='xr-section-summary' >Attributes: <span>(43)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>comment :</span></dt><dd>Monthly Mean of Sea Level Anomalies referenced to the [1993, 2012] period</dd><dt><span>contact :</span></dt><dd>http://climate.copernicus.eu/c3s-user-service-desk</dd><dt><span>creator_email :</span></dt><dd>http://climate.copernicus.eu/c3s-user-service-desk</dd><dt><span>creator_name :</span></dt><dd>Copernicus Climate Change Service (C3S)</dd><dt><span>creator_url :</span></dt><dd>http://climate.copernicus.eu</dd><dt><span>date_created :</span></dt><dd>2022-06-30T18:56:29Z: Creation</dd><dt><span>date_issued :</span></dt><dd>2022-06-30T18:56:29Z: Creation</dd><dt><span>date_modified :</span></dt><dd>2022-06-30T18:56:29Z: Creation</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.875</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.875</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.875</dd><dt><span>geospatial_lon_min :</span></dt><dd>0.125</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>down</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>point</dd><dt><span>geospatial_vertical_units :</span></dt><dd>m</dd><dt><span>history :</span></dt><dd>2022-06-30T18:56:29Z: Creation</dd><dt><span>institution :</span></dt><dd>CNES, CLS</dd><dt><span>keywords :</span></dt><dd>Oceans &gt; Ocean Topography &gt; Sea Surface Height</dd><dt><span>keywords_vocabulary :</span></dt><dd>NetCDF COARDS Climate and Forecast Standard Names</dd><dt><span>license :</span></dt><dd>http://climate.copernicus.eu/c3s-user-service-desk</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>product_version :</span></dt><dd>vDec2021</dd><dt><span>project :</span></dt><dd>Copernicus Climate Change Service (C3S)</dd><dt><span>references :</span></dt><dd>http://climate.copernicus.eu</dd><dt><span>software_version :</span></dt><dd>7.0_DUACS_DT2021_baseline</dd><dt><span>source :</span></dt><dd>Altimetry measurements</dd><dt><span>ssalto_duacs_comment :</span></dt><dd>The reference mission used for the altimeter inter-calibration processing is Topex/Poseidon between 1993-01-01 and 2002-04-23, Jason-1 between 2002-04-24 and 2008-10-18, OSTM/Jason-2 between 2008-10-19 and 2016-06-25, Jason-3 since 2016-06-25.</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table v37</dd><dt><span>summary :</span></dt><dd>Delayed Time Level-4 monthly means of Sea Level Anomalies and derived Eddy Kinetic Energy from two-satellite altimetry observations over the Global Ocean.</dd><dt><span>time_coverage_duration :</span></dt><dd>P1M</dd><dt><span>time_coverage_end :</span></dt><dd>1993-01-31T00:00:00Z</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>time_coverage_start :</span></dt><dd>1993-01-01T00:00:00Z</dd><dt><span>title :</span></dt><dd>DT merged two-satellite Global Ocean L4 Monthly Means of Sea Level Anomalies and Derived Eddy Kinetic Energy</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:           (time: 355, nv: 2, latitude: 720, longitude: 1440)\n",
       "Coordinates:\n",
       "  * time              (time) datetime64[ns] 1993-01-15 1993-02-15 ... 2022-07-15\n",
       "  * latitude          (latitude) float32 -89.88 -89.62 -89.38 ... 89.62 89.88\n",
       "  * longitude         (longitude) float32 0.125 0.375 0.625 ... 359.6 359.9\n",
       "  * nv                (nv) int32 0 1\n",
       "Data variables:\n",
       "    crs               (time) int32 -2147483647 -2147483647 ... -2147483647\n",
       "    climatology_bnds  (time, nv) datetime64[ns] dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
       "    lat_bnds          (time, latitude, nv) float32 dask.array<chunksize=(1, 720, 2), meta=np.ndarray>\n",
       "    lon_bnds          (time, longitude, nv) float32 dask.array<chunksize=(1, 1440, 2), meta=np.ndarray>\n",
       "    sla               (time, latitude, longitude) float64 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    eke               (time, latitude, longitude) float64 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "Attributes: (12/43)\n",
       "    Conventions:                     CF-1.6\n",
       "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
       "    cdm_data_type:                   Grid\n",
       "    comment:                         Monthly Mean of Sea Level Anomalies refe...\n",
       "    contact:                         http://climate.copernicus.eu/c3s-user-se...\n",
       "    creator_email:                   http://climate.copernicus.eu/c3s-user-se...\n",
       "    ...                              ...\n",
       "    summary:                         Delayed Time Level-4 monthly means of Se...\n",
       "    time_coverage_duration:          P1M\n",
       "    time_coverage_end:               1993-01-31T00:00:00Z\n",
       "    time_coverage_resolution:        P1M\n",
       "    time_coverage_start:             1993-01-01T00:00:00Z\n",
       "    title:                           DT merged two-satellite Global Ocean L4 ..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sea_level = xr.open_mfdataset(f'{dir_loc}/monthly/*.nc') # wildcard to read all files (one per year-month) at once & concat in single dataset\n",
    "sea_level"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the data are read as chunks with dask, meaning that they are not loaded in the memory. This helps when we process a very large amount of data that can't be loaded at once in the memory. On the other hand, it makes calculations considerably slower.\\\n",
    "Also note that longitude data are 0~360 degrees, so let's convert to -180 ~ 180, which is more common.\\\n",
    "Finally, we will only use the `sla` variable (sea level anomalies) from the dataset, as this is the variable of interest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "    long_name:      Averaged Sea Level Anomalies 1993/01\n",
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       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"17\" y1=\"7\" x2=\"137\" y2=\"7\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"149\" y2=\"19\" />\n",
       "  <line x1=\"31\" y1=\"21\" x2=\"151\" y2=\"21\" />\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"152\" y2=\"22\" />\n",
       "  <line x1=\"33\" y1=\"23\" x2=\"153\" y2=\"23\" />\n",
       "  <line x1=\"35\" y1=\"25\" x2=\"155\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"35\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"155\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 155.2036868565684,25.203686856568407 35.20368685656841,25.203686856568407\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"35\" y1=\"25\" x2=\"155\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"35\" y1=\"85\" x2=\"155\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"35\" y1=\"25\" x2=\"35\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"155\" y1=\"25\" x2=\"155\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"35.20368685656841,25.203686856568407 155.20368685656842,25.203686856568407 155.20368685656842,85.20368685656841 35.20368685656841,85.20368685656841\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"95.203687\" y=\"105.203687\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
       "  <text x=\"175.203687\" y=\"55.203687\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,175.203687,55.203687)\">720</text>\n",
       "  <text x=\"12.601843\" y=\"92.601843\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,12.601843,92.601843)\">355</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-8899c21c-691c-47a6-ba70-d73ac367d4ed' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8899c21c-691c-47a6-ba70-d73ac367d4ed' class='xr-section-summary' >Coordinates: <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-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'>1993-01-15 ... 2022-07-15</div><input id='attrs-29e03a0b-4b6d-4ddc-b88b-e48716d2ceda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29e03a0b-4b6d-4ddc-b88b-e48716d2ceda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5effb34e-94eb-447d-a5b6-d2f46d33b252' class='xr-var-data-in' type='checkbox'><label for='data-5effb34e-94eb-447d-a5b6-d2f46d33b252' 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>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>climatology_bnds</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1993-01-15T00:00:00.000000000&#x27;, &#x27;1993-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-03-15T00:00:00.000000000&#x27;, ..., &#x27;2022-05-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-15T00:00:00.000000000&#x27;, &#x27;2022-07-15T00:00:00.000000000&#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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-0ea93231-b905-4445-86fc-fe32b265a1b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ea93231-b905-4445-86fc-fe32b265a1b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-260152f5-aa2b-4ca3-98ee-77f27c263808' class='xr-var-data-in' type='checkbox'><label for='data-260152f5-aa2b-4ca3-98ee-77f27c263808' 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>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><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>valid_max :</span></dt><dd>89.875</dd><dt><span>valid_min :</span></dt><dd>-89.875</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-0469d1c4-22d7-4669-906f-4de785475044' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0469d1c4-22d7-4669-906f-4de785475044' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aff3df08-c4ba-4f2d-ad49-0f90d1307042' class='xr-var-data-in' type='checkbox'><label for='data-aff3df08-c4ba-4f2d-ad49-0f90d1307042' 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'></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b85c9c11-b88f-45b1-83b8-a2527bfc980a' class='xr-section-summary-in' type='checkbox'  ><label for='section-b85c9c11-b88f-45b1-83b8-a2527bfc980a' 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-a6668920-473f-4493-b665-8aca80cd049a' class='xr-index-data-in' type='checkbox'/><label for='index-a6668920-473f-4493-b665-8aca80cd049a' 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;1993-01-15&#x27;, &#x27;1993-02-15&#x27;, &#x27;1993-03-15&#x27;, &#x27;1993-04-15&#x27;,\n",
       "               &#x27;1993-05-15&#x27;, &#x27;1993-06-15&#x27;, &#x27;1993-07-15&#x27;, &#x27;1993-08-15&#x27;,\n",
       "               &#x27;1993-09-15&#x27;, &#x27;1993-10-15&#x27;,\n",
       "               ...\n",
       "               &#x27;2021-10-15&#x27;, &#x27;2021-11-15&#x27;, &#x27;2021-12-15&#x27;, &#x27;2022-01-15&#x27;,\n",
       "               &#x27;2022-02-15&#x27;, &#x27;2022-03-15&#x27;, &#x27;2022-04-15&#x27;, &#x27;2022-05-15&#x27;,\n",
       "               &#x27;2022-06-15&#x27;, &#x27;2022-07-15&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=355, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-666593f2-cbbc-42c3-a9f5-d7120eba4ac5' class='xr-index-data-in' type='checkbox'/><label for='index-666593f2-cbbc-42c3-a9f5-d7120eba4ac5' 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([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3c67e92e-3cf7-488c-9cf6-db7ca6a77782' class='xr-index-data-in' type='checkbox'/><label for='index-3c67e92e-3cf7-488c-9cf6-db7ca6a77782' 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([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-534729d5-3b4e-40a6-84d7-4ca37a58179c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-534729d5-3b4e-40a6-84d7-4ca37a58179c' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean within years</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Averaged Sea Level Anomalies 1993/01</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_sea_level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'sla' (time: 355, latitude: 720, longitude: 1440)>\n",
       "dask.array<getitem, shape=(355, 720, 1440), dtype=float64, chunksize=(1, 720, 1440), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1993-01-15 1993-02-15 ... 2022-07-15\n",
       "  * latitude   (latitude) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * longitude  (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "Attributes:\n",
       "    cell_methods:   time: mean within years\n",
       "    grid_mapping:   crs\n",
       "    long_name:      Averaged Sea Level Anomalies 1993/01\n",
       "    standard_name:  sea_surface_height_above_sea_level\n",
       "    units:          m"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# change longitudes to -180 | 180\n",
    "sla = sea_level['sla']\n",
    "sla = sla.assign_coords(longitude=(((sla.longitude + 180) % 360) - 180)) # change longitudes\n",
    "sla = sla.sortby('longitude') # sort by ascending order\n",
    "sla"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7ff0e1160220>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# \"quick and dirty\" plot of the data\n",
    "sla.isel(time=0).plot() "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Section 3. Data analysis and plotting"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Global average\n",
    "\n",
    "The data are projected in lat/lon system. This system does not have equal areas for all grid cells, but as we move closer to the poles, the areas of the cells are reducing. These differences can be accounted when weighting the cells with the cosine of their latitude."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def area_weighted_spatial_average(data):\n",
    "    \"\"\"Calculate area-weighted spatial average of data\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    data : xarray.DataArray\n",
    "        DataArray with lat and lon coordinates\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    xarray.DataArray\n",
    "        Area-weighted spatial average\n",
    "    \n",
    "    \"\"\"\n",
    "    weights = np.cos(np.deg2rad(data.latitude)).clip(0, 1) # weights; clip ensures values are between 0 and 1\n",
    "    return data.weighted(weights).mean(['latitude', 'longitude'])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate global average sea level anomaly for the monthly timeseries. This will take a while..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "global_average_sla = area_weighted_spatial_average(sla).compute() # use compute so that the data are now loaded into memory (no more dask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff0e202a5f0>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# quick plot\n",
    "global_average_sla.plot(figsize=(4, 2))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice that there is a high seasonal fluctuation in the dataset. Let's use a low-pass filter considering a 13-month (6 months before/after) moving average for mitigating the effect of seasonality. As the data are monthly and each month has different number of days, we will use weigths for an accurate representation of the smoothing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff0e19e5ae0>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 400x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "smoothed_n_months = 13 # months used for the temporal smoothing\n",
    "\n",
    "# get number of days for each month\n",
    "years = global_average_sla.time.dt.year.values\n",
    "months = global_average_sla.time.dt.month.values\n",
    "days_month = [calendar.monthrange(yr, mn)[1] for yr, mn in zip(years, months)]\n",
    "\n",
    "# temporal weights as xarray object (helps with automated alignment of the data for the calculations at the next steps)\n",
    "weights_temporal = global_average_sla.time.astype(int)*0+days_month \n",
    "\n",
    "# weights should be changed to NaN for the cells that hava NaN in the relevant month\n",
    "weights_temporal = weights_temporal.where(global_average_sla.notnull())\n",
    "\n",
    "# rolling sum of the product of satellite measurements with the days per month\n",
    "temp_smoothed = (global_average_sla*weights_temporal).rolling(time=smoothed_n_months, min_periods=smoothed_n_months, center=True).sum()\n",
    "\n",
    "# divide with total number of days for getting the final weighted temporally-smoothed timeseries\n",
    "temp_smoothed = temp_smoothed/weights_temporal.rolling(time=smoothed_n_months, min_periods=smoothed_n_months, center=True).sum()\n",
    "temp_smoothed.plot(figsize=(4, 2))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Annual trend calculation\n",
    "\n",
    "Let's calculate the annual trend for the data. For this step, first we will resample the monthly data to annual so that we don't have influence of possible variations of higher frequency, as for example the seasonality."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Resample the monthly data to annual by weighting the months considering the total number of days per month."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def annual_weighted_mean(data):\n",
    "    \"\"\"Calculate weighted annual mean from monthly data, when considering the exact number of days for each month for getting the weights\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    data : xarray.DataArray\n",
    "        DataArray with time coordinates in monthly resolution\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    xarray.DataArray\n",
    "        Weighted annual mean\n",
    "    \n",
    "    \"\"\"\n",
    "\n",
    "    annual_mean = []\n",
    "    for i, j in data.groupby('time.year'): # group data per year\n",
    "        days_month = [calendar.monthrange(yr, mn)[1] for yr, mn in zip([i]*len(j.time), j.time.dt.month.values)] # get number of days per month\n",
    "        # weights should be changed to NaN for the cells that have NaN in the relevant month\n",
    "        weights_temporal = j.time.astype(int)*0+days_month # get the weights\n",
    "        weights_temporal = weights_temporal.where(j.notnull()).fillna(0) # mask weights for all instances with no data, and get weights to 0\n",
    "\n",
    "        annual_mean.append( j.weighted(weights_temporal).mean('time').assign_coords(year=i) ) # get the weighted mean\n",
    "\n",
    "    annual_mean = xr.concat(annual_mean, dim='year') # get final dataarray with the annual growth rates\n",
    "\n",
    "    return annual_mean"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate global average sea level anomaly for the annual data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (year: 30)\n",
       "Coordinates:\n",
       "  * year     (year) float64 1.994e+03 1.994e+03 ... 2.022e+03 2.022e+03\n",
       "Data variables:\n",
       "    sla      (year) float64 0.0002212 0.00159 0.003856 ... 0.08853 0.08751</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1dfd7982-9ca0-48bf-8d9d-3a966c8c8faa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1dfd7982-9ca0-48bf-8d9d-3a966c8c8faa' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>year</span>: 30</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6a4e6e4c-e7aa-4616-8877-f476ccda7664' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a4e6e4c-e7aa-4616-8877-f476ccda7664' class='xr-section-summary' >Coordinates: <span>(1)</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'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.994e+03 1.994e+03 ... 2.022e+03</div><input id='attrs-ba303516-ec1c-4656-a2d0-5e0ae6e9bd9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba303516-ec1c-4656-a2d0-5e0ae6e9bd9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d472023-39f7-4749-90cc-94e03e26ab6d' class='xr-var-data-in' type='checkbox'><label for='data-2d472023-39f7-4749-90cc-94e03e26ab6d' 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'></dl></div><div class='xr-var-data'><pre>array([1993.5     , 1994.5     , 1995.5     , 1996.5     , 1997.5     ,\n",
       "       1998.5     , 1999.5     , 2000.5     , 2001.5     , 2002.5     ,\n",
       "       2003.5     , 2004.5     , 2005.5     , 2006.5     , 2007.5     ,\n",
       "       2008.5     , 2009.5     , 2010.5     , 2011.5     , 2012.5     ,\n",
       "       2013.5     , 2014.5     , 2015.5     , 2016.5     , 2017.5     ,\n",
       "       2018.5     , 2019.5     , 2020.5     , 2021.5     , 2022.291667])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5a42510c-b1d8-4f54-8057-3e1347db2b27' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5a42510c-b1d8-4f54-8057-3e1347db2b27' class='xr-section-summary' >Data variables: <span>(1)</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>sla</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0002212 0.00159 ... 0.08751</div><input id='attrs-f11993dd-b588-4662-8804-2701a11ab318' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f11993dd-b588-4662-8804-2701a11ab318' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3523bd13-8422-4b22-9f6a-c430e2229ef5' class='xr-var-data-in' type='checkbox'><label for='data-3523bd13-8422-4b22-9f6a-c430e2229ef5' 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'></dl></div><div class='xr-var-data'><pre>array([0.00022116, 0.00158954, 0.0038561 , 0.00704959, 0.01070312,\n",
       "       0.01379329, 0.01565003, 0.01883537, 0.02527906, 0.0278315 ,\n",
       "       0.03149332, 0.03254315, 0.03647751, 0.03870728, 0.03910896,\n",
       "       0.04267667, 0.04627728, 0.04778461, 0.04711981, 0.05607181,\n",
       "       0.05695639, 0.05914796, 0.06800307, 0.07155671, 0.07240207,\n",
       "       0.07580795, 0.08144158, 0.0843067 , 0.0885283 , 0.08751375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f9e7a284-dffc-40b0-b7fa-6851689a0f42' class='xr-section-summary-in' type='checkbox'  ><label for='section-f9e7a284-dffc-40b0-b7fa-6851689a0f42' class='xr-section-summary' >Indexes: <span>(1)</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>year</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1130575b-b519-4b00-b206-12b9fd2f9083' class='xr-index-data-in' type='checkbox'/><label for='index-1130575b-b519-4b00-b206-12b9fd2f9083' 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([            1993.5,             1994.5,             1995.5,\n",
       "                   1996.5,             1997.5,             1998.5,\n",
       "                   1999.5,             2000.5,             2001.5,\n",
       "                   2002.5,             2003.5,             2004.5,\n",
       "                   2005.5,             2006.5,             2007.5,\n",
       "                   2008.5,             2009.5,             2010.5,\n",
       "                   2011.5,             2012.5,             2013.5,\n",
       "                   2014.5,             2015.5,             2016.5,\n",
       "                   2017.5,             2018.5,             2019.5,\n",
       "                   2020.5,             2021.5, 2022.2916666666667],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;year&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-710b3b65-2a96-4561-9fa9-0fe7d56622eb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-710b3b65-2a96-4561-9fa9-0fe7d56622eb' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (year: 30)\n",
       "Coordinates:\n",
       "  * year     (year) float64 1.994e+03 1.994e+03 ... 2.022e+03 2.022e+03\n",
       "Data variables:\n",
       "    sla      (year) float64 0.0002212 0.00159 0.003856 ... 0.08853 0.08751"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "global_average_annual_sla = annual_weighted_mean(global_average_sla)\n",
    "\n",
    "# be presice with the time and assign the middle of each year. For the last year adjust based on the last month available on the raw data\n",
    "full_years = global_average_annual_sla.year[:-1].values+.5\n",
    "last_year = global_average_annual_sla.year[-1].values+global_average_sla.time[-1].dt.month.values/12*.5\n",
    "new_year_coords = np.append(full_years, last_year)\n",
    "global_average_annual_sla = global_average_annual_sla.assign_coords({'year': new_year_coords})\n",
    "\n",
    "global_average_annual_sla.to_dataset() # we use 'dataset' object instead of 'dataarray' so that the information are visually nicer"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use `linregress` from the `scipy` library and `appply_func` from the `xarray` library for calculating the linear trend and the standard error of the estimated slope. More information are available in the documentations of [scipy](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.linregress.html) and [xarray](https://docs.xarray.dev/en/stable/generated/xarray.apply_ufunc.html). Let's also split the data in first and second half to understand if there are variations in the trends."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def linregress_1d(data, years):\n",
    "    \n",
    "    \"\"\"\n",
    "    The function returns an array with 5 elements. The 1st and 2nd element are the slope and intersect of the regression, and the 5th value \n",
    "    is the standard error of the estimated slope.\n",
    "    \"\"\"\n",
    "\n",
    "    return np.array(linregress(years, data)[:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "period_of_interest = {\n",
    "    'Full': {'year': slice(1993, 2022)},\n",
    "    'Half1': {'year': slice(1993, 2007)},\n",
    "    'Half2': {'year': slice(2008, 2022)},\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
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       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
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       "\n",
       ".xr-wrap {\n",
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       "  padding-bottom: 6px;\n",
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       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
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       "  margin-bottom: 0;\n",
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       "\n",
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       "  margin-right: 10px;\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
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       "\n",
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       "  display: inline-block;\n",
       "  padding: 0;\n",
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       ".xr-var-item > .xr-var-name span {\n",
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       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
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       "\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
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       "\n",
       ".xr-var-data > table {\n",
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       "\n",
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       "\n",
       ".xr-attrs,\n",
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       ".xr-var-data,\n",
       ".xr-index-data {\n",
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       "\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
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       "  display: inline-block;\n",
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       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sla&#x27; (period: 3)&gt;\n",
       "array([3.10341283, 3.15749711, 3.63171855])\n",
       "Coordinates:\n",
       "  * period   (period) &lt;U5 &#x27;Full&#x27; &#x27;Half1&#x27; &#x27;Half2&#x27;</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'>'sla'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>period</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f47ea2cb-d888-4606-88b9-79ee6109afe0' class='xr-array-in' type='checkbox' checked><label for='section-f47ea2cb-d888-4606-88b9-79ee6109afe0' 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>3.103 3.157 3.632</span></div><div class='xr-array-data'><pre>array([3.10341283, 3.15749711, 3.63171855])</pre></div></div></li><li class='xr-section-item'><input id='section-401c00ba-1a8a-40fb-a3a9-2fcb3216d19c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-401c00ba-1a8a-40fb-a3a9-2fcb3216d19c' class='xr-section-summary' >Coordinates: <span>(1)</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'>period</span></div><div class='xr-var-dims'>(period)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;Full&#x27; &#x27;Half1&#x27; &#x27;Half2&#x27;</div><input id='attrs-509a3f9b-e75f-4051-9ae4-b89de9f8f408' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-509a3f9b-e75f-4051-9ae4-b89de9f8f408' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35151095-592b-4c6c-afde-52186a5746c6' class='xr-var-data-in' type='checkbox'><label for='data-35151095-592b-4c6c-afde-52186a5746c6' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;Full&#x27;, &#x27;Half1&#x27;, &#x27;Half2&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e9075860-864e-46c7-a4f5-07ca02f91b54' class='xr-section-summary-in' type='checkbox'  ><label for='section-e9075860-864e-46c7-a4f5-07ca02f91b54' class='xr-section-summary' >Indexes: <span>(1)</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>period</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c995a773-b97c-4b59-ac55-8098a6bf8916' class='xr-index-data-in' type='checkbox'/><label for='index-c995a773-b97c-4b59-ac55-8098a6bf8916' 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([&#x27;Full&#x27;, &#x27;Half1&#x27;, &#x27;Half2&#x27;], dtype=&#x27;object&#x27;, name=&#x27;period&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-31cd9212-05f0-4bdb-865f-5c52d54e731a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-31cd9212-05f0-4bdb-865f-5c52d54e731a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'sla' (period: 3)>\n",
       "array([3.10341283, 3.15749711, 3.63171855])\n",
       "Coordinates:\n",
       "  * period   (period) <U5 'Full' 'Half1' 'Half2'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "global_trend = []\n",
    "for name, period in period_of_interest.items():\n",
    "    data = global_average_annual_sla.sel(period) # select the period of interest\n",
    "    trend = xr.apply_ufunc(linregress_1d, \n",
    "                           data*1e3, data.year.values, # get the data from m to mm\n",
    "                           input_core_dims=[[\"year\"], ['t']], output_core_dims=['a'], vectorize=True) # get 1st order linear trend\n",
    "    trend = trend.assign_coords({'period': name}) # add new coordinate so that we can later on contatenate the data in one dataarray object\n",
    "    global_trend.append(trend) # append the xarray object to the list\n",
    "\n",
    "global_trend = xr.concat(global_trend, dim='period') # concat the xarray objests of the list, into 1 single xarray dataarray\n",
    "global_trend.isel(a=0) # check the slops (1st element)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is a slight differentiation on the linear trend, with the 2nd half having a steeper increase."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Caclulate fitted values for the linear trend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "time_float = global_average_sla.time.dt.year + global_average_sla.time.dt.dayofyear/365 # get monthly time as float\n",
    "linear_fit = global_trend.sel(period='Full')[0]*time_float + global_trend.sel(period='Full')[1] # get fitted timeseries based on linear trend"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting the monthly timeseries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 5)) # create the figure and define subplots and figure size\n",
    "\n",
    "p1 = (100*temp_smoothed).plot(ax=ax, linewidth=3) # plot in cm rather than m that is the unit of the data\n",
    "p2 = (.1*linear_fit).plot(ax=ax, linestyle='--', color='black') # plot the trend data (need to convert to cm from mm)\n",
    "\n",
    "# add legend\n",
    "ax.legend([p1[0], p2[0]],\n",
    "          ['GMSL (smoothed data)', \n",
    "          f\"Trend ({global_trend.sel(period='Full')[0]:0.2f} \\u00B1 {global_trend.sel(period='Full')[4]:0.2f} mm/year)\"], \n",
    "          loc=2) \n",
    "\n",
    "# formatting the figure\n",
    "sns.despine(ax=ax, trim=True, offset=10) # trimming the y and x axis to be visible only from the first till the last tick\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y')) # formatting is needed cause the above line breaks the time xticklabels\n",
    "\n",
    "ax.set_xlabel('') # remove the title from the horizontal axis\n",
    "ax.set_ylabel('Global mean sea level anomalies [cm]') # set title in vertical axis\n",
    "ax.set_title('Global mean sea level anomalies compared to 20-year mean reference period (1993-2012)') # set title for the subplot\n",
    "\n",
    "# add a small map showing the spatial domain that was used to derive the timeseries. This will be done with the help of inset_axes\n",
    "axins = inset_axes(ax, # define the parent subplot\n",
    "                   width=\"30%\", height=\"30%\", loc=\"lower right\", # give dimensions and location of the nested subplot\n",
    "                   axes_class=cartopy.mpl.geoaxes.GeoAxes, # define subplot class so that geospatial data can be used\n",
    "                   axes_kwargs=dict(projection=ccrs.EqualEarth()) # assign a projection in the nested subplot\n",
    "                   )\n",
    "axins.add_feature(cfeature.OCEAN, color='lightblue', lw=.5) # add the oceans as polygons from the cartopy library\n",
    "\n",
    "# add text regarding the increase of sea level in 2015\n",
    "desc = 'Year to year variability is mainly related to El Niño Southern Oscillation.\\nFor 2015 for example there was an strong El Niño event.'\n",
    "ax.annotate(\n",
    "               desc,\n",
    "               xy=(pd.to_datetime('20150615'), temp_smoothed.sel(time=pd.to_datetime('20150615'))*100),\n",
    "               xytext=(0.02, 0.6),\n",
    "               color='black',\n",
    "               textcoords=ax.transAxes,\n",
    "               ha='left', va='top',\n",
    "               arrowprops=dict(arrowstyle='->', color='grey', connectionstyle='arc3,rad=-0.2')\n",
    "            )\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Variations in space"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We noticed that there is an increasing trend in the global average sea level. Let's now calculate this trend for each grid point using the same simple linear model we used previously.\\\n",
    "First of all we need to rechunk the data so that the time dimension is not segmented, because the trend calculation needs all time steps for each location."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sla&#x27; (time: 355, latitude: 720, longitude: 1440)&gt;\n",
       "dask.array&lt;rechunk-merge, shape=(355, 720, 1440), dtype=float64, chunksize=(355, 72, 144), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1993-01-15 1993-02-15 ... 2022-07-15\n",
       "  * latitude   (latitude) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * longitude  (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "Attributes:\n",
       "    cell_methods:   time: mean within years\n",
       "    grid_mapping:   crs\n",
       "    long_name:      Averaged Sea Level Anomalies 1993/01\n",
       "    standard_name:  sea_surface_height_above_sea_level\n",
       "    units:          m</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'>'sla'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 355</li><li><span class='xr-has-index'>latitude</span>: 720</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6fb4b045-7f3c-48f9-b150-1a0128e5cdac' class='xr-array-in' type='checkbox' checked><label for='section-6fb4b045-7f3c-48f9-b150-1a0128e5cdac' 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=(355, 72, 144), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.74 GiB </td>\n",
       "                        <td> 28.08 MiB </td>\n",
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       "                        <td colspan=\"2\"> 100 chunks in 715 graph layers </td>\n",
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       "  <text x=\"12.601843\" y=\"92.601843\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,12.601843,92.601843)\">355</text>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-0ed58957-c3bd-42fb-a532-afe753e7c121' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0ed58957-c3bd-42fb-a532-afe753e7c121' class='xr-section-summary' >Coordinates: <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-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'>1993-01-15 ... 2022-07-15</div><input id='attrs-8b02151a-1a3c-4e06-9441-c73c2bd69e90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b02151a-1a3c-4e06-9441-c73c2bd69e90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb5d4e30-7e76-4cc4-bf5a-c46443ffd7fe' class='xr-var-data-in' type='checkbox'><label for='data-fb5d4e30-7e76-4cc4-bf5a-c46443ffd7fe' 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>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>climatology_bnds</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1993-01-15T00:00:00.000000000&#x27;, &#x27;1993-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-03-15T00:00:00.000000000&#x27;, ..., &#x27;2022-05-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-15T00:00:00.000000000&#x27;, &#x27;2022-07-15T00:00:00.000000000&#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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-c8e6c9ab-c0ae-46f3-83ca-469817055dcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8e6c9ab-c0ae-46f3-83ca-469817055dcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f0fb928-24be-469f-b241-416a49693935' class='xr-var-data-in' type='checkbox'><label for='data-2f0fb928-24be-469f-b241-416a49693935' 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>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><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>valid_max :</span></dt><dd>89.875</dd><dt><span>valid_min :</span></dt><dd>-89.875</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-75da6323-f1fb-4bfb-a607-5c64939e0824' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-75da6323-f1fb-4bfb-a607-5c64939e0824' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c81bda4d-9342-49f3-bc25-a183e60e5bb0' class='xr-var-data-in' type='checkbox'><label for='data-c81bda4d-9342-49f3-bc25-a183e60e5bb0' 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'></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a073ada9-b023-4b38-a8d6-8f714a52fc5e' class='xr-section-summary-in' type='checkbox'  ><label for='section-a073ada9-b023-4b38-a8d6-8f714a52fc5e' 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-c83bbde5-099d-4445-b4cb-6b708d522307' class='xr-index-data-in' type='checkbox'/><label for='index-c83bbde5-099d-4445-b4cb-6b708d522307' 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;1993-01-15&#x27;, &#x27;1993-02-15&#x27;, &#x27;1993-03-15&#x27;, &#x27;1993-04-15&#x27;,\n",
       "               &#x27;1993-05-15&#x27;, &#x27;1993-06-15&#x27;, &#x27;1993-07-15&#x27;, &#x27;1993-08-15&#x27;,\n",
       "               &#x27;1993-09-15&#x27;, &#x27;1993-10-15&#x27;,\n",
       "               ...\n",
       "               &#x27;2021-10-15&#x27;, &#x27;2021-11-15&#x27;, &#x27;2021-12-15&#x27;, &#x27;2022-01-15&#x27;,\n",
       "               &#x27;2022-02-15&#x27;, &#x27;2022-03-15&#x27;, &#x27;2022-04-15&#x27;, &#x27;2022-05-15&#x27;,\n",
       "               &#x27;2022-06-15&#x27;, &#x27;2022-07-15&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=355, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c3d1ee2e-52f8-4dd2-a5dd-e92c07f1ccf5' class='xr-index-data-in' type='checkbox'/><label for='index-c3d1ee2e-52f8-4dd2-a5dd-e92c07f1ccf5' 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([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3cf6ef90-5418-4b23-bcdc-795954b9c7cc' class='xr-index-data-in' type='checkbox'/><label for='index-3cf6ef90-5418-4b23-bcdc-795954b9c7cc' 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([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-daba217b-3fb3-4813-bf40-1fe6890f6615' class='xr-section-summary-in' type='checkbox'  checked><label for='section-daba217b-3fb3-4813-bf40-1fe6890f6615' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean within years</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Averaged Sea Level Anomalies 1993/01</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_sea_level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'sla' (time: 355, latitude: 720, longitude: 1440)>\n",
       "dask.array<rechunk-merge, shape=(355, 720, 1440), dtype=float64, chunksize=(355, 72, 144), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1993-01-15 1993-02-15 ... 2022-07-15\n",
       "  * latitude   (latitude) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * longitude  (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "Attributes:\n",
       "    cell_methods:   time: mean within years\n",
       "    grid_mapping:   crs\n",
       "    long_name:      Averaged Sea Level Anomalies 1993/01\n",
       "    standard_name:  sea_surface_height_above_sea_level\n",
       "    units:          m"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sla = sla.chunk(chunks={'time': -1, 'latitude': 72, 'longitude': 144}) # rechunk so time is not segmented (needed for trends)\n",
    "sla"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate mean annual anomalies of sea level. This will take a while..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "\n",
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       "  grid-column: 4;\n",
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       "\n",
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       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 720, longitude: 1440, year: 30)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * longitude  (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "  * year       (year) int64 1993 1994 1995 1996 1997 ... 2019 2020 2021 2022\n",
       "Data variables:\n",
       "    sla        (year, latitude, longitude) float64 nan nan nan ... nan nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-71e7cc79-3aa6-47d8-bb87-3d18747ccfba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-71e7cc79-3aa6-47d8-bb87-3d18747ccfba' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 720</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>year</span>: 30</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-93ddbd20-220e-4e41-87c2-945d25f6a3ac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-93ddbd20-220e-4e41-87c2-945d25f6a3ac' class='xr-section-summary' >Coordinates: <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-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-d7a3b922-7e80-49e2-8bd0-311fd5f6cbcd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d7a3b922-7e80-49e2-8bd0-311fd5f6cbcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-caa1f8b5-f4eb-473b-9588-3045161ef169' class='xr-var-data-in' type='checkbox'><label for='data-caa1f8b5-f4eb-473b-9588-3045161ef169' 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'></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-383783bc-f9c9-4e7b-be78-2e8e3088d2db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-383783bc-f9c9-4e7b-be78-2e8e3088d2db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b2b230a-649a-4080-968e-4dcfdb0d25db' class='xr-var-data-in' type='checkbox'><label for='data-5b2b230a-649a-4080-968e-4dcfdb0d25db' 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'></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1993 1994 1995 ... 2020 2021 2022</div><input id='attrs-f0364b11-e3fa-429b-9b3b-b38957ce65f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f0364b11-e3fa-429b-9b3b-b38957ce65f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-344e852f-8268-4926-8720-f049b7ee23d8' class='xr-var-data-in' type='checkbox'><label for='data-344e852f-8268-4926-8720-f049b7ee23d8' 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'></dl></div><div class='xr-var-data'><pre>array([1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004,\n",
       "       2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016,\n",
       "       2017, 2018, 2019, 2020, 2021, 2022])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89d9aca5-487f-4229-bdbf-025f6830328e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89d9aca5-487f-4229-bdbf-025f6830328e' class='xr-section-summary' >Data variables: <span>(1)</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>sla</span></div><div class='xr-var-dims'>(year, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0b74ebd0-6b63-450d-8fa4-33b96d23067f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b74ebd0-6b63-450d-8fa4-33b96d23067f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fcb5523-885d-489a-9c14-e7fa302fcd69' class='xr-var-data-in' type='checkbox'><label for='data-5fcb5523-885d-489a-9c14-e7fa302fcd69' 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'></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db739761-ea60-468b-8d6d-c35770794050' class='xr-section-summary-in' type='checkbox'  ><label for='section-db739761-ea60-468b-8d6d-c35770794050' 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>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e6e35236-64e0-435f-83c2-5cc75173d7e5' class='xr-index-data-in' type='checkbox'/><label for='index-e6e35236-64e0-435f-83c2-5cc75173d7e5' 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([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0ebde06c-fb85-4fcc-80ed-15f56f457757' class='xr-index-data-in' type='checkbox'/><label for='index-0ebde06c-fb85-4fcc-80ed-15f56f457757' 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([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>year</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d8ac9ecf-b812-4793-9870-7f643ae29237' class='xr-index-data-in' type='checkbox'/><label for='index-d8ac9ecf-b812-4793-9870-7f643ae29237' 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([1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004,\n",
       "       2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016,\n",
       "       2017, 2018, 2019, 2020, 2021, 2022],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;year&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4421d15f-aa92-4c50-9bfc-bf02d98ec0e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4421d15f-aa92-4c50-9bfc-bf02d98ec0e4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 720, longitude: 1440, year: 30)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * longitude  (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "  * year       (year) int64 1993 1994 1995 1996 1997 ... 2019 2020 2021 2022\n",
       "Data variables:\n",
       "    sla        (year, latitude, longitude) float64 nan nan nan ... nan nan nan"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "average_annual_sla = annual_weighted_mean(sla).compute() # once again we use compute so that the calculated data are stored in the memory\n",
    "average_annual_sla.to_dataset() # remember that we use 'dataset' object instead of 'dataarray' so that the information are visually nicer "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate the annual trend, again with the help of `apply_func`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
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       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 720, longitude: 1440, a: 5)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * longitude  (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "Dimensions without coordinates: a\n",
       "Data variables:\n",
       "    sla        (latitude, longitude, a) float64 nan nan nan nan ... nan nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-01b45e53-28fa-4068-9c52-ed561af29f06' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-01b45e53-28fa-4068-9c52-ed561af29f06' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 720</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span>a</span>: 5</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7db84d19-09d3-46da-a96c-b08aa040bd4a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7db84d19-09d3-46da-a96c-b08aa040bd4a' class='xr-section-summary' >Coordinates: <span>(2)</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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-c92f9aca-f08e-4874-ba0e-a05f0ac905d3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c92f9aca-f08e-4874-ba0e-a05f0ac905d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-661bc230-0a3c-4857-93e9-2a380f02dd60' class='xr-var-data-in' type='checkbox'><label for='data-661bc230-0a3c-4857-93e9-2a380f02dd60' 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'></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-3a9feaa8-b2b2-4301-b7da-fb2b3b996f08' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a9feaa8-b2b2-4301-b7da-fb2b3b996f08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8f9a01f-cf3c-4ef9-a486-3e45d24a9d08' class='xr-var-data-in' type='checkbox'><label for='data-c8f9a01f-cf3c-4ef9-a486-3e45d24a9d08' 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'></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7a2b1fe9-78d9-4ee5-ad9a-8b54014800c9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a2b1fe9-78d9-4ee5-ad9a-8b54014800c9' class='xr-section-summary' >Data variables: <span>(1)</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>sla</span></div><div class='xr-var-dims'>(latitude, longitude, a)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-b1e861cd-a73f-441a-8c13-d0c236c2d1aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1e861cd-a73f-441a-8c13-d0c236c2d1aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9248a2a-b800-4583-825e-306298b1593d' class='xr-var-data-in' type='checkbox'><label for='data-b9248a2a-b800-4583-825e-306298b1593d' 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'></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan],\n",
       "        [nan, nan, nan, nan, nan]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c07caa70-1495-4d4d-a2be-42df2a36d848' class='xr-section-summary-in' type='checkbox'  ><label for='section-c07caa70-1495-4d4d-a2be-42df2a36d848' class='xr-section-summary' >Indexes: <span>(2)</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>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5e051b29-ca60-4797-a2c2-3a24b5e97c3b' class='xr-index-data-in' type='checkbox'/><label for='index-5e051b29-ca60-4797-a2c2-3a24b5e97c3b' 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([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b4410487-5bcf-472d-bd78-bdfecb0cf122' class='xr-index-data-in' type='checkbox'/><label for='index-b4410487-5bcf-472d-bd78-bdfecb0cf122' 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([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0af13c3e-f01d-4ace-908f-4230839b03f2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0af13c3e-f01d-4ace-908f-4230839b03f2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 720, longitude: 1440, a: 5)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * longitude  (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "Dimensions without coordinates: a\n",
       "Data variables:\n",
       "    sla        (latitude, longitude, a) float64 nan nan nan nan ... nan nan nan"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gridded_trend = xr.apply_ufunc(linregress_1d, \n",
    "                               average_annual_sla*1e3, average_annual_sla.year.values,\n",
    "                               input_core_dims=[[\"year\"], ['t']], output_core_dims=['a'], vectorize=True)\n",
    "gridded_trend.to_dataset() # remember that we use 'dataset' object instead of 'dataarray' so that the information are visually nicer "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "trends_slope = gridded_trend.isel(a=0) # get the slice with the slope data (remember it is the 1st value)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting gridded data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def spatial_plot(data_used, projection_used, figsize):\n",
    "\n",
    "    # get colors and levels for the plotting\n",
    "    levels = np.linspace(-6, 6, 25)\n",
    "    colormap = sns.color_palette('GnBu_r', n_colors=13) + sns.color_palette('YlOrRd', n_colors=13)\n",
    "    colormap = ListedColormap(colormap)\n",
    "\n",
    "    # plot the data\n",
    "    fig, ax = plt.subplots(1, 1, figsize=figsize, subplot_kw={'projection': projection_used}) # create the figure and ax\n",
    "\n",
    "    slope_plot = data_used.plot(vmin=-6, vmax=6, cmap=colormap, levels=levels, extend='both', # plot the gridded data\n",
    "                                add_colorbar=False, robust=True, ax=ax, transform=ccrs.PlateCarree())\n",
    "\n",
    "    ax.add_feature(cfeature.NaturalEarthFeature(category='physical', scale='10m', facecolor='0', name='land')) # add land mask\n",
    "\n",
    "    # add colorbar and plot inside it the boxplot of the trends ( only for the values within [-6, 6] ), for visualizing also the statistics\n",
    "    cbar_ax = fig.colorbar(slope_plot, extend='both', label='mm/year') # add colorbar \n",
    "    cbar_ax.ax.boxplot(x=data_used.to_dataframe().dropna().values, # boxplot of the trend data\n",
    "                       positions=[.5], # define position at 0.5 so that the data are plotted in the middle of colorbar (0-1), because default is 1\n",
    "                       widths=0.5, # slightly increase the width of the boxplot\n",
    "                       patch_artist=True, # allow changes on the boxplot\n",
    "                       showmeans=True, # also show the mean\n",
    "                       boxprops=dict(facecolor='.8'), # change color of boxplot (so that median is more visible)\n",
    "                       medianprops=dict(color='black'),\n",
    "                       flierprops={'marker': '+', 'markersize': 2}, # change style and size of outliers\n",
    "                       meanprops={'markerfacecolor': 'white', 'markeredgecolor': 'black', 'marker': 'o'} # change of mean symbol\n",
    "                       )\n",
    "    cbar_ax.ax.set_xticks([]) # remove the xticks due to the boxplot from the colorbar\n",
    "\n",
    "    return fig, ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1100x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = spatial_plot(data_used=trends_slope.sel(latitude=slice(24, 83), longitude=slice(-30, 55)), projection_used=ccrs.PlateCarree(), figsize=(11, 6))\n",
    "\n",
    "# add title with the location and the years used for calculating the trend\n",
    "min_year, max_year = average_annual_sla.year.values[::len(average_annual_sla.year)-1] # get min and max year of data\n",
    "ax.set_title(f'Sea level trends from satellite altimetry in European seas from {min_year} to {max_year}')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above plot shows that for the majority of the European seas there is an increasing trend in the sea level, ranging between 2-3 mm/year, whereas some regions experience an increase over 5 mm/year. Decreasing trends are very rare, mainly in confined parts of east Mediterraean (south of Creta island and in the Ionian sea, between mainland Greece and Italy).\\\n",
    "Please note that the Caspian Sea has a substantial descrease, but this is not related to the sea level, as it is a closed system (lake) that is not affected by changes in the sea ice in the poles. This decrease is rather related to the increasing temperature and higher evaporation, as well as intensive human activities."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-success\">\n",
    "\n",
    "<b>SUMMARY</b>:<br>\n",
    "In this tutorial we analysed the changes in sea level anomalies.<br>\n",
    "The data showed that the sea level is constantly inceasing the last years, with a trend over 3mm/year for the global average. Looking at the seas sourounding Europe, there is an overal increasing trend with a strong spatial variability. The regions in the Baltic have some of the most increasing trends (over  5mm/year), while locations in the east Mediterraean have a smaller slope, with even decreasing trends for some parts of the area.<br>\n",
    "</div>"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Appendix"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "    \n",
    "<b>NOTE</b>: <br>\n",
    "The plots in the relevant Climate Indicators Report are created after a detailed preprocessing of the data for correcting known issues and caclulating the uncertainty in the trends. Such a detailed processing is not in the scope of this tutorial. Nevertheless, for the interested users, this appendix consists of two sections that present some additional datasets that can be used for this analysis. More specifically:\n",
    "1. The 1st section contains **processed data** downloaded from the [Copernicus Marine Service](https://marine.copernicus.eu/access-data).\n",
    "2. The 2nd section contains a brief demonstration of how to use the **daily data of sea level anomalies from CDS**. Remember that this analysis requires a lot of time for downloading the data (more than half a day in most cases), and over 90 Gb of space on the disk.\n",
    "</div>"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Section 1: Processed data from Marine Service."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For getting data from Marine Service, there is [a free user registration needed](https://data.marine.copernicus.eu/register). The data can then be downloaded from an ftp server."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "marine_username = '########' # please add your username\n",
    "marine_password = '########' # please add your password"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Download the already processed area weighted mean sea level anomaly [timeseries](https://data.marine.copernicus.eu/product/GLOBAL_OMI_SL_area_averaged_anomalies/description)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# define the url for getting the data and add the username and password\n",
    "marine_sla_timeseries = f\"ftp://{marine_username}:{marine_password}@my.cmems-du.eu/Core/GLOBAL_OMI_SL_area_averaged_anomalies/\"\n",
    "marine_sla_timeseries += \"global_omi_sl_area_averaged_anomalies/global_omi_sl_area_averaged_anomalies_19930101_P20230403.nc\"\n",
    "\n",
    "urllib.request.urlretrieve(marine_sla_timeseries, f'{dir_loc}timeseries_marine.nc') # retrieve the data and store them in the directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:               (time: 10808)\n",
       "Coordinates:\n",
       "  * time                  (time) datetime64[ns] 1993-01-01 ... 2022-08-04\n",
       "Data variables:\n",
       "    sla                   (time) float32 ...\n",
       "    sla_filtered          (time) float32 ...\n",
       "    sla_tpacorr           (time) float32 ...\n",
       "    sla_filtered_tpacorr  (time) float32 ...\n",
       "Attributes:\n",
       "    title:        Area Averaged Mean Sea Level from DUACS DT2021\n",
       "    institution:  CLS\n",
       "    references:   http://marine.copernicus.eu\n",
       "    Conventions:  CF-1.7\n",
       "    source:       The values are based on the two-satellite merged altimeter ...\n",
       "    licence:      http://marine.copernicus.eu/services-portfolio/service-comm...\n",
       "    area:         GLOBAL\n",
       "    comment:      Period : 1993-01-01 to 2022-08-04.\n",
       "    credit:       E.U. Copernicus Marine Service Information\n",
       "    contact:      https://marine.copernicus.eu/contact</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b6d21d7c-5d25-49b4-b6dd-a71185d84e25' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b6d21d7c-5d25-49b4-b6dd-a71185d84e25' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10808</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f04d8fa1-27fa-439e-833a-153795f7ab8c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f04d8fa1-27fa-439e-833a-153795f7ab8c' class='xr-section-summary' >Coordinates: <span>(1)</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'>1993-01-01 ... 2022-08-04</div><input id='attrs-15c86f3f-88b2-4706-9af0-734569c2a4f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15c86f3f-88b2-4706-9af0-734569c2a4f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cded43c1-ffe1-47d8-bf21-16b3b3e3c6fc' class='xr-var-data-in' type='checkbox'><label for='data-cded43c1-ffe1-47d8-bf21-16b3b3e3c6fc' 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>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1993-01-01T00:00:00.000000000&#x27;, &#x27;1993-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-01-03T00:00:00.000000000&#x27;, ..., &#x27;2022-08-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-03T00:00:00.000000000&#x27;, &#x27;2022-08-04T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-879306b8-2ef1-4c1e-ad06-d729d2680670' class='xr-section-summary-in' type='checkbox'  checked><label for='section-879306b8-2ef1-4c1e-ad06-d729d2680670' class='xr-section-summary' >Data variables: <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>sla</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-310e8b7c-ffa5-4d8a-822d-f28e1c7d2a26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-310e8b7c-ffa5-4d8a-822d-f28e1c7d2a26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-015fd7c2-5afd-42dd-9173-4d3582ffbdb5' class='xr-var-data-in' type='checkbox'><label for='data-015fd7c2-5afd-42dd-9173-4d3582ffbdb5' 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>Sea Level Anomalies</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_sea_level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sla_filtered</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-72de1549-7065-419e-ac3e-0958d7fd42f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72de1549-7065-419e-ac3e-0958d7fd42f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-079ff92d-e7ed-4113-9a92-53f1bd5f51c5' class='xr-var-data-in' type='checkbox'><label for='data-079ff92d-e7ed-4113-9a92-53f1bd5f51c5' 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>Filtered Sea Level Anomalies</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_sea_level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sla_tpacorr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7162e2bb-6df9-4858-8eef-be5a70b12b58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7162e2bb-6df9-4858-8eef-be5a70b12b58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76d62ad9-5250-409d-b86f-5abefcb8cc84' class='xr-var-data-in' type='checkbox'><label for='data-76d62ad9-5250-409d-b86f-5abefcb8cc84' 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>Sea Level Anomalies corrected for the TOPEX-A instrumental drift (Ablain et al., 2017; WCRP Sea Level Budget Group, 2018)</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_sea_level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sla_filtered_tpacorr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cf5dd8be-5043-4b23-82ff-4d47bed71ff3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf5dd8be-5043-4b23-82ff-4d47bed71ff3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff00366f-4161-4add-9cdb-85a8c1cd0287' class='xr-var-data-in' type='checkbox'><label for='data-ff00366f-4161-4add-9cdb-85a8c1cd0287' 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>Filtered Sea Level Anomalies corrected for the TOPEX-A instrumental drift (Ablain et al., 2017; WCRP Sea Level Budget Group, 2018)</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_sea_level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d615838-0712-4127-84c4-9716236386b6' class='xr-section-summary-in' type='checkbox'  ><label for='section-6d615838-0712-4127-84c4-9716236386b6' class='xr-section-summary' >Indexes: <span>(1)</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-63055705-639d-4acf-b450-92b389c7a7a7' class='xr-index-data-in' type='checkbox'/><label for='index-63055705-639d-4acf-b450-92b389c7a7a7' 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;1993-01-01&#x27;, &#x27;1993-01-02&#x27;, &#x27;1993-01-03&#x27;, &#x27;1993-01-04&#x27;,\n",
       "               &#x27;1993-01-05&#x27;, &#x27;1993-01-06&#x27;, &#x27;1993-01-07&#x27;, &#x27;1993-01-08&#x27;,\n",
       "               &#x27;1993-01-09&#x27;, &#x27;1993-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-07-26&#x27;, &#x27;2022-07-27&#x27;, &#x27;2022-07-28&#x27;, &#x27;2022-07-29&#x27;,\n",
       "               &#x27;2022-07-30&#x27;, &#x27;2022-07-31&#x27;, &#x27;2022-08-01&#x27;, &#x27;2022-08-02&#x27;,\n",
       "               &#x27;2022-08-03&#x27;, &#x27;2022-08-04&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=10808, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ed07b775-79c8-424f-b9d9-431cc4a15437' class='xr-section-summary-in' type='checkbox'  ><label for='section-ed07b775-79c8-424f-b9d9-431cc4a15437' 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>title :</span></dt><dd>Area Averaged Mean Sea Level from DUACS DT2021</dd><dt><span>institution :</span></dt><dd>CLS</dd><dt><span>references :</span></dt><dd>http://marine.copernicus.eu</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>source :</span></dt><dd>The values are based on the two-satellite merged altimeter sea level product produced by the Copernicus Climate Change Service (C3S) and distributed both by C3S and CMEMS.</dd><dt><span>licence :</span></dt><dd>http://marine.copernicus.eu/services-portfolio/service-commitments-and-licence/</dd><dt><span>area :</span></dt><dd>GLOBAL</dd><dt><span>comment :</span></dt><dd>Period : 1993-01-01 to 2022-08-04.</dd><dt><span>credit :</span></dt><dd>E.U. Copernicus Marine Service Information</dd><dt><span>contact :</span></dt><dd>https://marine.copernicus.eu/contact</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:               (time: 10808)\n",
       "Coordinates:\n",
       "  * time                  (time) datetime64[ns] 1993-01-01 ... 2022-08-04\n",
       "Data variables:\n",
       "    sla                   (time) float32 ...\n",
       "    sla_filtered          (time) float32 ...\n",
       "    sla_tpacorr           (time) float32 ...\n",
       "    sla_filtered_tpacorr  (time) float32 ...\n",
       "Attributes:\n",
       "    title:        Area Averaged Mean Sea Level from DUACS DT2021\n",
       "    institution:  CLS\n",
       "    references:   http://marine.copernicus.eu\n",
       "    Conventions:  CF-1.7\n",
       "    source:       The values are based on the two-satellite merged altimeter ...\n",
       "    licence:      http://marine.copernicus.eu/services-portfolio/service-comm...\n",
       "    area:         GLOBAL\n",
       "    comment:      Period : 1993-01-01 to 2022-08-04.\n",
       "    credit:       E.U. Copernicus Marine Service Information\n",
       "    contact:      https://marine.copernicus.eu/contact"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "marine_sla_timeseries = xr.open_dataset(f'{dir_loc}timeseries_marine.nc') # read the data\n",
    "marine_sla_timeseries # view dataset"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see from the above cell, the data refer to sea level anomalies (sla) for the period 1st January 1993 - 4th August 2022. There are 4 variables:\n",
    "1. sla, which is the original timeseries of area averaged mean seal level\n",
    "2. sla_filtered, which has a low-pass filter on the above variable\n",
    "3. sla_tpa_corr, which is the original timeseries, after correcting for the TOPEX-A instrumental drift\n",
    "4. sla_filtered_tpacorr, low-ass filtered of the above variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "marine_sla_timeseries.to_array().plot(hue='variable', figsize=(4, 3))\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's compare the processed daily data from Marine Service with the smoothed timeseries we calculated from the monthly data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 5)) # create the figure and define subplots and figure size\n",
    "\n",
    "marine_sla_timeseries.to_array().plot(hue='variable', ax=ax) \n",
    "temp_smoothed.plot(ax=ax, linewidth=3, color='black')\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Our calculations have a considerable underestimation of the trend in the second half, as we see that after the preprocessing and the corrections implemented in the data from Marine Copernicus, sea level anomalies are substantially higher for the processed data for the last years. The main reason is the incorporation of the glacial rebound on the processed data from Marine Service. We will conduct this processing at the Section 2 of this Appendix.**"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Download the [trends](https://data.marine.copernicus.eu/product/GLOBAL_OMI_SL_regional_trends/description) of sea level."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "marine_sla_trends = f\"ftp://{marine_username}:{marine_password}@my.cmems-du.eu/Core/GLOBAL_OMI_SL_regional_trends/\"\n",
    "marine_sla_trends += \"global_omi_sl_regional_trends/global_omi_sl_regional_trends_19930101_P20230403.nc\"\n",
    "\n",
    "urllib.request.urlretrieve(marine_sla_trends, f'{dir_loc}trends_marine.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (latitude: 720, longitude: 1440)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * longitude  (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    msl_trend  (latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    title:                         Merged gridded regional mean sea level tre...\n",
       "    institution:                   CLS\n",
       "    references:                    http://marine.copernicus.eu\n",
       "    Conventions:                   CF-1.7\n",
       "    source:                        The values are based on the two-satellite ...\n",
       "    licence:                       http://marine.copernicus.eu/services-portf...\n",
       "    quality_information_document:  http://marine.copernicus.eu/documents/QUID...\n",
       "    product_user_manual:           http://marine.copernicus.eu/documents/PUM/...\n",
       "    area:                          GLOBAL\n",
       "    comment:                       Period : 1993-01-01 to 2022-08-04.\n",
       "    credit:                        E.U. Copernicus Marine Service Information\n",
       "    contact:                       https://marine.copernicus.eu/contact</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-566871fc-bc3d-418e-8409-e75bdde1d484' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-566871fc-bc3d-418e-8409-e75bdde1d484' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 720</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ba87bb09-0d0d-43b5-b0c9-6991329f9925' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ba87bb09-0d0d-43b5-b0c9-6991329f9925' class='xr-section-summary' >Coordinates: <span>(2)</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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-7969b30e-dcc4-46f8-ac42-a7d0b0b6472d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7969b30e-dcc4-46f8-ac42-a7d0b0b6472d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73fa99f0-f1cb-4b05-b7a5-d76206589e66' class='xr-var-data-in' type='checkbox'><label for='data-73fa99f0-f1cb-4b05-b7a5-d76206589e66' 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>step :</span></dt><dd>0.25</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-07abcfd2-f8e8-439c-ac3c-748e27e265a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07abcfd2-f8e8-439c-ac3c-748e27e265a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efcfb863-deaa-4d56-9b40-0e0669745709' class='xr-var-data-in' type='checkbox'><label for='data-efcfb863-deaa-4d56-9b40-0e0669745709' 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>step :</span></dt><dd>0.25</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-708fc0fe-3292-43e3-8d0a-c09394335ab4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-708fc0fe-3292-43e3-8d0a-c09394335ab4' class='xr-section-summary' >Data variables: <span>(1)</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>msl_trend</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-718c74e5-fa7b-4e96-848f-649706298b85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-718c74e5-fa7b-4e96-848f-649706298b85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d6ba1f8-965e-48ee-b894-b54acd57731d' class='xr-var-data-in' type='checkbox'><label for='data-6d6ba1f8-965e-48ee-b894-b54acd57731d' 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>Regional mean sea level trends</dd><dt><span>standard_name :</span></dt><dd>tendency_of_sea_surface_height_above_sea_level</dd><dt><span>units :</span></dt><dd>mm/yr</dd></dl></div><div class='xr-var-data'><pre>[1036800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e5956f1-1455-42ae-b999-0d32ab7e9aa8' class='xr-section-summary-in' type='checkbox'  ><label for='section-8e5956f1-1455-42ae-b999-0d32ab7e9aa8' class='xr-section-summary' >Indexes: <span>(2)</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>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-68537225-1849-45f5-8076-9e9f7789518c' class='xr-index-data-in' type='checkbox'/><label for='index-68537225-1849-45f5-8076-9e9f7789518c' 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([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e444688c-1d22-46f6-bf57-64f71c937bcd' class='xr-index-data-in' type='checkbox'/><label for='index-e444688c-1d22-46f6-bf57-64f71c937bcd' 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([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-368beeec-e254-4232-bac7-647acdd1bd42' class='xr-section-summary-in' type='checkbox'  ><label for='section-368beeec-e254-4232-bac7-647acdd1bd42' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Merged gridded regional mean sea level trends from DUACS DT2021</dd><dt><span>institution :</span></dt><dd>CLS</dd><dt><span>references :</span></dt><dd>http://marine.copernicus.eu</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>source :</span></dt><dd>The values are based on the two-satellite merged altimeter sea level product produced by the Copernicus Climate Change Service (C3S) and distributed both by C3S and CMEMS.</dd><dt><span>licence :</span></dt><dd>http://marine.copernicus.eu/services-portfolio/service-commitments-and-licence/</dd><dt><span>quality_information_document :</span></dt><dd>http://marine.copernicus.eu/documents/QUID/CMEMS-OMI-SEALEVEL-QUID.pdf</dd><dt><span>product_user_manual :</span></dt><dd>http://marine.copernicus.eu/documents/PUM/CMEMS-OMI-SEALEVEL-PUM.pdf</dd><dt><span>area :</span></dt><dd>GLOBAL</dd><dt><span>comment :</span></dt><dd>Period : 1993-01-01 to 2022-08-04.</dd><dt><span>credit :</span></dt><dd>E.U. Copernicus Marine Service Information</dd><dt><span>contact :</span></dt><dd>https://marine.copernicus.eu/contact</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 720, longitude: 1440)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * longitude  (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    msl_trend  (latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    title:                         Merged gridded regional mean sea level tre...\n",
       "    institution:                   CLS\n",
       "    references:                    http://marine.copernicus.eu\n",
       "    Conventions:                   CF-1.7\n",
       "    source:                        The values are based on the two-satellite ...\n",
       "    licence:                       http://marine.copernicus.eu/services-portf...\n",
       "    quality_information_document:  http://marine.copernicus.eu/documents/QUID...\n",
       "    product_user_manual:           http://marine.copernicus.eu/documents/PUM/...\n",
       "    area:                          GLOBAL\n",
       "    comment:                       Period : 1993-01-01 to 2022-08-04.\n",
       "    credit:                        E.U. Copernicus Marine Service Information\n",
       "    contact:                       https://marine.copernicus.eu/contact"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "marine_sla_trends = xr.open_dataset(f'{dir_loc}trends_marine.nc')\n",
    "marine_sla_trends"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generate same plot as the monthy data from CDS."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = spatial_plot(data_used=marine_sla_trends['msl_trend'].sel(latitude=slice(24, 83), longitude=slice(-30, 55)), \n",
    "                       projection_used=ccrs.PlateCarree(), figsize=(11, 6))\n",
    "\n",
    "# add title with the location and the years used for calculating the trend\n",
    "min_year, max_year = marine_sla_timeseries.time.dt.year.values[::len(marine_sla_timeseries.time.dt.year)-1] # get min and max year of data\n",
    "ax.set_title(f'Sea level trends from satellite altimetry in European seas from {min_year} to {max_year} - Marine Copernicus')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The trends in Europe with the processed data from Marine Service are highly resembling the calculated trends from the monthly data. This could be related to the fact that the spatial data in the Climate Indicator Report are not undercome extensive processing for corrections, as the case with the global average timeseries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = spatial_plot(data_used=marine_sla_trends['msl_trend'], projection_used=ccrs.EqualEarth(), figsize=(15, 6))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Section 2: Get daily data from CDS.\n",
    "\n",
    "This requires ~100Gb of data and a considerable amount of time (~1 day order of magnitude) for downloading the data and performing the calculations..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.makedirs(f'{dir_loc}/daily/', exist_ok=True) # create the folder if not available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "c = cdsapi.Client(url=cds_url, key=cds_key)\n",
    "\n",
    "# we need to loop every year, otherwise the data are too many to be downloaded from CDS\n",
    "# for i_year in range(1993, 2023):\n",
    "for i_year in range(1993, 1995): # use only 2 years just for speeding up the process and reducing the time (it still needs some hours)\n",
    "    c.retrieve(\n",
    "        'satellite-sea-level-global',\n",
    "        {\n",
    "            'version': 'vDT2021',\n",
    "            'format': 'zip',\n",
    "            'variable': 'daily',\n",
    "            'year': i_year,\n",
    "            'month': [('0'+str(i))[-2:] for i in list(range(1, 13))], # the months should be given as 2digit (e.g., '01', '12'),\n",
    "            'day': [('0'+str(i))[-2:] for i in list(range(1, 32))], # the days should be given as 2digit (e.g., '01', '31'),\n",
    "        },\n",
    "        f'{dir_loc}/daily/{i_year}_sea_level.zip')\n",
    "\n",
    "    # unzip and remove the original file\n",
    "    with zipfile.ZipFile(f'{dir_loc}/daily/{i_year}_sea_level.zip','r') as zip_ref:\n",
    "        zip_ref.extractall(f'{dir_loc}/daily/') # unzip file\n",
    "\n",
    "    os.remove(f'{dir_loc}/daily/{i_year}_sea_level.zip') # delete the original zip file"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find all month-years that there are available files. The idea is to read the files per month-year so that we don't load lot of data in memory. We could in fact read all files at once, since dask can handle the size. This will nevertheless substantially increase the computation time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_yearmonths = list(set([i.split('_')[5][:-2] for i in os.listdir(f'{dir_loc}/daily/')]))\n",
    "all_yearmonths = list(sorted(all_yearmonths))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's now create a function for reading all files for the month-year and calculate global average at a daily resolution, as well as monthly average for each grid cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "def data_processing(yearmonth):\n",
    "\n",
    "    # first read all files of the relevant yearmonth\n",
    "    data = xr.open_mfdataset(f'{dir_loc}/daily/dt_global_twosat_phy_l4_{yearmonth}*.nc').load() # load on memory (year-month data have manageable size)\n",
    "\n",
    "    # calculate global weighted average\n",
    "    global_average = area_weighted_spatial_average(data)\n",
    "    global_average.to_netcdf(f'{dir_loc}/processed/global_average_daily_{yearmonth}.nc')\n",
    "\n",
    "    # # calculate monthly average\n",
    "    # data_monthly = data.mean('time')\n",
    "    # data_monthly = data_monthly.assign_coords({'time': yearmonth}).expand_dims('time')\n",
    "\n",
    "    # data_monthly.to_netcdf(f'{dir_loc}/processed/data_monthly_{yearmonth}.nc') # requires a lot more storage than 1 sinle daily file; need further investigation\n",
    "    # for the above check https://stackoverflow.com/questions/72112551/significant-increase-in-file-size-x10-after-applying-function-on-netcdf-data-u\n",
    "\n",
    "    # return data_monthly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The below cell needs around 6 hours to complete if all data (from year 1993 to year 2022) are donwloaded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tqdm import tqdm\n",
    "os.makedirs(f'{dir_loc}/processed/', exist_ok=True) # create the folder if not available\n",
    "for i_yearmonth in tqdm(all_yearmonths):\n",
    "    data_processing(i_yearmonth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "global_ts_daily = xr.open_mfdataset(f'{dir_loc}/processed/*.nc')\n",
    "global_ts_daily = global_ts_daily.sortby('time').load()\n",
    "global_ts_daily.to_netcdf(f'{dir_loc}/timeseries_daily.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:         (time: 10808, nv: 2)\n",
       "Coordinates:\n",
       "  * time            (time) datetime64[ns] 1993-01-01 1993-01-02 ... 2022-08-04\n",
       "  * nv              (nv) int32 0 1\n",
       "Data variables: (12/14)\n",
       "    crs             (time) float64 ...\n",
       "    lat_bnds        (time, nv) float32 ...\n",
       "    lon_bnds        (time, nv) float32 ...\n",
       "    sla             (time) float64 ...\n",
       "    err_sla         (time) float64 ...\n",
       "    ugosa           (time) float64 ...\n",
       "    ...              ...\n",
       "    err_vgosa       (time) float64 ...\n",
       "    adt             (time) float64 ...\n",
       "    ugos            (time) float64 ...\n",
       "    vgos            (time) float64 ...\n",
       "    tpa_correction  (time) float64 ...\n",
       "    flag_ice        (time) float64 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-58f5a104-cbc4-4783-8fa1-7996e9914612' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-58f5a104-cbc4-4783-8fa1-7996e9914612' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10808</li><li><span class='xr-has-index'>nv</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9b228aba-c12b-467b-a619-fc550f0c9945' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b228aba-c12b-467b-a619-fc550f0c9945' class='xr-section-summary' >Coordinates: <span>(2)</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'>1993-01-01 ... 2022-08-04</div><input id='attrs-897eee74-ead5-408b-8111-20e3dc7b001c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-897eee74-ead5-408b-8111-20e3dc7b001c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3cc559a-3455-44f1-bc0c-541eecd26c75' class='xr-var-data-in' type='checkbox'><label for='data-a3cc559a-3455-44f1-bc0c-541eecd26c75' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;1993-01-01T00:00:00.000000000&#x27;, &#x27;1993-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-01-03T00:00:00.000000000&#x27;, ..., &#x27;2022-08-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-03T00:00:00.000000000&#x27;, &#x27;2022-08-04T00:00:00.000000000&#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'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-58ada0d8-6909-412e-af9a-56d52739d778' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58ada0d8-6909-412e-af9a-56d52739d778' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-634bcda7-cde2-4596-8071-9e2ea443c0ce' class='xr-var-data-in' type='checkbox'><label for='data-634bcda7-cde2-4596-8071-9e2ea443c0ce' 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'></dl></div><div class='xr-var-data'><pre>array([0, 1], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f85f2f1f-8fef-44cb-86e3-451924f5d784' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f85f2f1f-8fef-44cb-86e3-451924f5d784' class='xr-section-summary' >Data variables: <span>(14)</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>crs</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f1d77f5f-bd93-4d55-96b1-ae731dc10f03' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f1d77f5f-bd93-4d55-96b1-ae731dc10f03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c83b063-b296-481b-8681-d34deeec858d' class='xr-var-data-in' type='checkbox'><label for='data-0c83b063-b296-481b-8681-d34deeec858d' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5049d063-9e33-4202-9323-d70f0b30ac8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5049d063-9e33-4202-9323-d70f0b30ac8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-195b79e1-05aa-4838-a21d-7e0ead70e740' class='xr-var-data-in' type='checkbox'><label for='data-195b79e1-05aa-4838-a21d-7e0ead70e740' 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'></dl></div><div class='xr-var-data'><pre>[21616 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b7edb681-2e97-47e7-9d8e-83b12ad2d21a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7edb681-2e97-47e7-9d8e-83b12ad2d21a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86ac7d4a-53b1-43b9-bf52-5d7f047cc28d' class='xr-var-data-in' type='checkbox'><label for='data-86ac7d4a-53b1-43b9-bf52-5d7f047cc28d' 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'></dl></div><div class='xr-var-data'><pre>[21616 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sla</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-09368bb1-e08a-4705-8ddd-54e2b3d77f6a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09368bb1-e08a-4705-8ddd-54e2b3d77f6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9c2c136-db1a-44a3-869f-506808a0835b' class='xr-var-data-in' type='checkbox'><label for='data-a9c2c136-db1a-44a3-869f-506808a0835b' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err_sla</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a98cb418-9002-48ac-b702-643b4814a188' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a98cb418-9002-48ac-b702-643b4814a188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b95fa35c-e93c-474e-b17f-f52dcf7ffea3' class='xr-var-data-in' type='checkbox'><label for='data-b95fa35c-e93c-474e-b17f-f52dcf7ffea3' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ugosa</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d23f6518-405a-43c6-a01f-bbac57f8a270' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d23f6518-405a-43c6-a01f-bbac57f8a270' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5eb42168-b352-42a8-9325-bdf446bb8749' class='xr-var-data-in' type='checkbox'><label for='data-5eb42168-b352-42a8-9325-bdf446bb8749' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err_ugosa</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3fad0338-f0b3-4d0d-b524-b6c29f9a046c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3fad0338-f0b3-4d0d-b524-b6c29f9a046c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acdef538-6265-46c6-8866-29ce4349fd9d' class='xr-var-data-in' type='checkbox'><label for='data-acdef538-6265-46c6-8866-29ce4349fd9d' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vgosa</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b76cc03-fc14-4bc7-be11-ff23ec41ca4d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b76cc03-fc14-4bc7-be11-ff23ec41ca4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbf3b811-1d14-474c-9047-9fca49ca941a' class='xr-var-data-in' type='checkbox'><label for='data-fbf3b811-1d14-474c-9047-9fca49ca941a' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err_vgosa</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-897eb3c2-af49-4551-a64d-8964d6a26dcd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-897eb3c2-af49-4551-a64d-8964d6a26dcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40c628b4-64a4-4b7d-9cb1-372cfa05bfc5' class='xr-var-data-in' type='checkbox'><label for='data-40c628b4-64a4-4b7d-9cb1-372cfa05bfc5' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adt</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-96473e31-cd65-4ade-b574-c20c1943edbb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-96473e31-cd65-4ade-b574-c20c1943edbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a268cda-09a5-4ecd-a174-dfab0285dfc7' class='xr-var-data-in' type='checkbox'><label for='data-7a268cda-09a5-4ecd-a174-dfab0285dfc7' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ugos</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dea0a35d-36c1-42fd-8444-c1bdfbcad7b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dea0a35d-36c1-42fd-8444-c1bdfbcad7b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-960dd31d-4479-47fe-94bd-8c1ac0a78670' class='xr-var-data-in' type='checkbox'><label for='data-960dd31d-4479-47fe-94bd-8c1ac0a78670' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vgos</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0be5bd83-3953-4fb5-a5a9-6d596ffb4c46' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0be5bd83-3953-4fb5-a5a9-6d596ffb4c46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cbf775e-964c-452b-9873-627ae2050ff5' class='xr-var-data-in' type='checkbox'><label for='data-0cbf775e-964c-452b-9873-627ae2050ff5' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tpa_correction</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ac07163-e084-414d-9a5f-0f1ec963de70' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ac07163-e084-414d-9a5f-0f1ec963de70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff728b72-95bc-4977-8bb1-9fad780eb4bc' class='xr-var-data-in' type='checkbox'><label for='data-ff728b72-95bc-4977-8bb1-9fad780eb4bc' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>flag_ice</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-95e21edc-525c-418d-bd45-e9f195d3496f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-95e21edc-525c-418d-bd45-e9f195d3496f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d829dd9-2965-4a9c-bc3e-5481451c64c0' class='xr-var-data-in' type='checkbox'><label for='data-8d829dd9-2965-4a9c-bc3e-5481451c64c0' 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'></dl></div><div class='xr-var-data'><pre>[10808 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c42da64-e242-4629-a164-8930494d80b1' class='xr-section-summary-in' type='checkbox'  ><label for='section-9c42da64-e242-4629-a164-8930494d80b1' class='xr-section-summary' >Indexes: <span>(2)</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-3ea8e025-8e38-485d-a003-7be7b36055ca' class='xr-index-data-in' type='checkbox'/><label for='index-3ea8e025-8e38-485d-a003-7be7b36055ca' 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;1993-01-01&#x27;, &#x27;1993-01-02&#x27;, &#x27;1993-01-03&#x27;, &#x27;1993-01-04&#x27;,\n",
       "               &#x27;1993-01-05&#x27;, &#x27;1993-01-06&#x27;, &#x27;1993-01-07&#x27;, &#x27;1993-01-08&#x27;,\n",
       "               &#x27;1993-01-09&#x27;, &#x27;1993-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-07-26&#x27;, &#x27;2022-07-27&#x27;, &#x27;2022-07-28&#x27;, &#x27;2022-07-29&#x27;,\n",
       "               &#x27;2022-07-30&#x27;, &#x27;2022-07-31&#x27;, &#x27;2022-08-01&#x27;, &#x27;2022-08-02&#x27;,\n",
       "               &#x27;2022-08-03&#x27;, &#x27;2022-08-04&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=10808, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>nv</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4f0c3e87-0cdb-49c5-92cf-3f2587dd2bba' class='xr-index-data-in' type='checkbox'/><label for='index-4f0c3e87-0cdb-49c5-92cf-3f2587dd2bba' 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, 1], dtype=&#x27;int32&#x27;, name=&#x27;nv&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b411c699-74d8-4bbb-85d8-47c9051548dd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b411c699-74d8-4bbb-85d8-47c9051548dd' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:         (time: 10808, nv: 2)\n",
       "Coordinates:\n",
       "  * time            (time) datetime64[ns] 1993-01-01 1993-01-02 ... 2022-08-04\n",
       "  * nv              (nv) int32 0 1\n",
       "Data variables: (12/14)\n",
       "    crs             (time) float64 ...\n",
       "    lat_bnds        (time, nv) float32 ...\n",
       "    lon_bnds        (time, nv) float32 ...\n",
       "    sla             (time) float64 ...\n",
       "    err_sla         (time) float64 ...\n",
       "    ugosa           (time) float64 ...\n",
       "    ...              ...\n",
       "    err_vgosa       (time) float64 ...\n",
       "    adt             (time) float64 ...\n",
       "    ugos            (time) float64 ...\n",
       "    vgos            (time) float64 ...\n",
       "    tpa_correction  (time) float64 ...\n",
       "    flag_ice        (time) float64 ..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "global_ts_daily = xr.open_dataset(f'{dir_loc}/timeseries_daily.nc')\n",
    "global_ts_daily"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's process our daily timeseries with the below two steps:\n",
    "1. remove the seasonal cycle\n",
    "2. adjust for the post-glacial rebound, considering an increase of 0.3 mm/year for the global mean sea level trend (more information at [Spada, 2016](https://link.springer.com/article/10.1007/s10712-016-9379-x), and [Peltier, 2004](https://www.annualreviews.org/doi/10.1146/annurev.earth.32.082503.144359))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Step 1: remove seasonal cycle\n",
    "global_ts_daily_processed = global_ts_daily['sla'].groupby('time.month') - global_ts_daily['sla'].groupby('time.month').mean() # remove monthly climatology\n",
    "global_ts_daily_processed = global_ts_daily_processed + global_ts_daily['sla'].mean() # add the mean state, so that we don't have anomalies, as in the previous line\n",
    "\n",
    "\n",
    "# Step 2: adjust for the post-glacial rebound\n",
    "post_glacial_rebound = global_ts_daily_processed.resample(time='Y').mean()*0 # new dataframe of yearly resolution filled with 0 everywhere\n",
    "post_glacial_rebound += (np.arange(0, len(post_glacial_rebound))*0.3)/1000 # add 0.3 mm/year trend, but use m as umits\n",
    "post_glacial_rebound = post_glacial_rebound.resample(time='d').mean().interpolate_na(dim='time', method='linear') # convert back to daily and proportioanlly split the yearly trend\n",
    "post_glacial_rebound = post_glacial_rebound.isel(time=range(1, len(post_glacial_rebound.time))) # don't use the first day (last day of 1993, because it will be added at the next step)\n",
    "post_glacial_rebound = xr.concat([global_ts_daily_processed.sel(time='1993').drop('month')*0, post_glacial_rebound], dim='time') # add all days of the first year; this year has no adjustment\n",
    "\n",
    "# Final processed timeseries\n",
    "global_ts_daily_final = global_ts_daily_processed + post_glacial_rebound"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "marine_sla_timeseries['sla'].plot(color='blue', label='Marine', linewidth=1, alpha=.7, figsize=(14, 7)) # plot data from Marine Service\n",
    "global_ts_daily_final.plot(color='red', label='CDS daily', linewidth=1, alpha=.7) # plot processed daily data\n",
    "global_ts_daily_final.rolling(time=15, min_periods=1, center=True).mean().plot(color='black', label='CDS daily smoothed', linewidth=1, alpha=.7) # smoothed\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that the available (already processed) data from Marine serive, and the data we processed from the daily CDS files are very very similar. Small differences are related to the extra processing steps done by Marine service, as for example removing the semi-annual period signal."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}