{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "dfbb2062-3bb9-4957-8672-f3b5788ff52c",
   "metadata": {},
   "source": [
    "# DataViz: Open and Visualize Copernicus Marine Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7130f31-d396-48c1-9066-4f18e0600c79",
   "metadata": {},
   "source": [
    "This notebook was used during the presentation on how to access and open Copernicus Marine data during the [DataViz Webinar Series](https://events.marine.copernicus.eu/dataviz-webinar-series).   \n",
    "\n",
    "In this notebook, we show how to:\n",
    "   - __Open a CSV file__ (downloaded from [MyOcean Pro](https://data.marine.copernicus.eu/viewer/expert) for ex.) with [pandas](https://pandas.pydata.org/docs/user_guide/index.html) and create some plots from this CSV file\n",
    "   - __Download a subset of dataset__ with the `subset()` function of the [Copernicus Marine Toolbox](https://help.marine.copernicus.eu/en/collections/9080063-copernicus-marine-toolbox) and open a NetCDF file with [xarray](https://docs.xarray.dev/en/stable/)\n",
    "   - __Open data remotely__ with the `open_dataset()` function of the Toolbox and do some post-processing with this remotely opened data (e.g. calculating average inside an area)\n",
    "   - __Create differents plots__ from NetCDF files (maps & charts)\n",
    "\n",
    "Please check [this article](https://help.marine.copernicus.eu/en/articles/7970514-copernicus-marine-toolbox-installation) to install the Copernicus Marine Toolbox in your environment."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d96d7ba9-74cb-4c83-b93e-9e025156f740",
   "metadata": {},
   "source": [
    "## Import modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b6453419-0e53-4868-9e2b-1bc25f64b7f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a49304d4-a87a-482d-8a2f-9d53b1594989",
   "metadata": {},
   "outputs": [],
   "source": [
    "import copernicusmarine              # Copernicus Marine Toolbox\n",
    "import xarray as xr                  # to open datasets (e.g. NetCDF files)\n",
    "import pandas as pd                  # to open dataframes (e.g. CSV files)\n",
    "import matplotlib.pyplot as plt      # to fine-tune plots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c07598c-e9b8-4ca5-9b31-21d9e28dedc1",
   "metadata": {},
   "source": [
    ">If you need to install a library, e.g. xarray:\n",
    "   >- __Mamba__: `mamba install xarray`\n",
    "   >- __PyPI__: `pip install xarray`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2d63535-8099-4824-87ba-92babb97762e",
   "metadata": {},
   "source": [
    "## Open CSV and plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8be0a419-84cc-4a0b-847a-70c107629192",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>chl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-05-18T00:00:00.000Z</td>\n",
       "      <td>0.454148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-05-19T00:00:00.000Z</td>\n",
       "      <td>0.468614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-05-20T00:00:00.000Z</td>\n",
       "      <td>0.469471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-05-21T00:00:00.000Z</td>\n",
       "      <td>0.462199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-05-22T00:00:00.000Z</td>\n",
       "      <td>0.443358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>2025-03-03T00:00:00.000Z</td>\n",
       "      <td>0.624530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1021</th>\n",
       "      <td>2025-03-04T00:00:00.000Z</td>\n",
       "      <td>0.631085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1022</th>\n",
       "      <td>2025-03-05T00:00:00.000Z</td>\n",
       "      <td>0.554660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1023</th>\n",
       "      <td>2025-03-06T00:00:00.000Z</td>\n",
       "      <td>0.478080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024</th>\n",
       "      <td>2025-03-07T00:00:00.000Z</td>\n",
       "      <td>0.440123</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1025 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          time       chl\n",
       "0     2022-05-18T00:00:00.000Z  0.454148\n",
       "1     2022-05-19T00:00:00.000Z  0.468614\n",
       "2     2022-05-20T00:00:00.000Z  0.469471\n",
       "3     2022-05-21T00:00:00.000Z  0.462199\n",
       "4     2022-05-22T00:00:00.000Z  0.443358\n",
       "...                        ...       ...\n",
       "1020  2025-03-03T00:00:00.000Z  0.624530\n",
       "1021  2025-03-04T00:00:00.000Z  0.631085\n",
       "1022  2025-03-05T00:00:00.000Z  0.554660\n",
       "1023  2025-03-06T00:00:00.000Z  0.478080\n",
       "1024  2025-03-07T00:00:00.000Z  0.440123\n",
       "\n",
       "[1025 rows x 2 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Open CSV as a pandas dataframe\n",
    "# For the demo, the CSV file was downloaded from MyOcean Pro, therefore we need to add comment='#' to not read the header\n",
    "dataframe_plankton = pd.read_csv(\"cmems_mod_glo_bgc-pft_anfc_0.25deg_P1D-m_1740748513740.csv\", comment='#')\n",
    "dataframe_plankton"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc0ad926-3d86-485a-ac12-9e30b974d276",
   "metadata": {},
   "source": [
    "### Simple plot (chart)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ba3f6529-f02a-4448-9759-f32c495b8dd2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Simple plot to check data\n",
    "dataframe_plankton.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94672175-b29a-4c51-8ff5-a1f70583630c",
   "metadata": {},
   "source": [
    "### Fine-tuned plot using maplotlib (chart)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9cf44fb0-c0af-404a-a5d0-f86630c6d2d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Parse dates\n",
    "dataframe_plankton['time'] = pd.to_datetime(dataframe_plankton['time'])\n",
    "\n",
    "# Use a modern style for a clean look\n",
    "plt.style.use('seaborn-v0_8')\n",
    "\n",
    "# Create the plot\n",
    "fig, ax = plt.subplots(figsize=(10, 5))\n",
    "\n",
    "# Plot with markers and a line for clarity\n",
    "ax.plot(dataframe_plankton['time'], dataframe_plankton['chl'], marker='o', linestyle='-', color='green', linewidth=2, markersize=4)\n",
    "\n",
    "# Customize the title and axis labels\n",
    "ax.set_title('Evolution of plankton over 3 last years', fontsize=16, fontweight='bold')\n",
    "ax.set_xlabel('Date', fontsize=12)\n",
    "ax.set_ylabel('CHL (mg/m^3)', fontsize=12)\n",
    "\n",
    "# Improve x-axis ticks for dates (if applicable)\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "\n",
    "# Ensure the layout fits well in the figure\n",
    "plt.tight_layout()\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5b5ffbc-8fba-4cd2-8958-732ad5a53094",
   "metadata": {},
   "source": [
    "## Download subset using Toolbox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8f5c5104-b38a-4a5a-9524-94b4640e0052",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO - 2025-03-03T14:37:34Z - Selected dataset version: \"202311\"\n",
      "INFO - 2025-03-03T14:37:34Z - Selected dataset part: \"default\"\n",
      "INFO - 2025-03-03T14:37:39Z - Starting download. Please wait...\n",
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 56/56 [00:07<00:00,  7.10it/s]\n",
      "INFO - 2025-03-03T14:37:48Z - Successfully downloaded to cmems_mod_glo_bgc-pft_anfc_0.25deg_P1D-m_chl_52.75W-29.25W_29.50N-44.00N_0.49m_2022-05-28-2025-03-01_(1).nc\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ResponseSubset(file_path=WindowsPath('cmems_mod_glo_bgc-pft_anfc_0.25deg_P1D-m_chl_52.75W-29.25W_29.50N-44.00N_0.49m_2022-05-28-2025-03-01_(1).nc'), output_directory=WindowsPath('.'), filename='cmems_mod_glo_bgc-pft_anfc_0.25deg_P1D-m_chl_52.75W-29.25W_29.50N-44.00N_0.49m_2022-05-28-2025-03-01_(1).nc', file_size=21.585667938931298, data_transfer_size=152.66198473282444, variables=['chl'], coordinates_extent=[GeographicalExtent(minimum=-52.75, maximum=-29.25, unit='degrees_east', coordinate_id='longitude'), GeographicalExtent(minimum=29.5, maximum=44.0, unit='degrees_north', coordinate_id='latitude'), TimeExtent(minimum='2022-05-28T00:00:00+00:00', maximum='2025-03-01T00:00:00+00:00', unit='iso8601', coordinate_id='time'), GeographicalExtent(minimum=0.4940253794193268, maximum=0.4940253794193268, unit='m', coordinate_id='depth')], status='000', message='The request was successful.', file_status='DOWNLOADED')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Download subset\n",
    "# We can copy/paste a query as shown in the presentation, in MyOcean Pro (Automate button)\n",
    "copernicusmarine.subset(\n",
    "  dataset_id=\"cmems_mod_glo_bgc-pft_anfc_0.25deg_P1D-m\",\n",
    "  variables=[\"chl\"],\n",
    "  minimum_longitude=-52.876357,\n",
    "  maximum_longitude=-29.074583,\n",
    "  minimum_latitude=29.263025,\n",
    "  maximum_latitude=44.125671,\n",
    "  start_datetime=\"2022-05-28T00:00:00\",\n",
    "  end_datetime=\"2025-03-01T00:00:00\",\n",
    "  minimum_depth=0.4940253794193268,\n",
    "  maximum_depth=0.4940253794193268,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "db6ac41d-3f79-41cc-be48-b07575ee5134",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
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       "  --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",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\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",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
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       "\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",
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       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
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       "\n",
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       "\n",
       ".xr-sections {\n",
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       "  display: grid;\n",
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       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
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       "\n",
       ".xr-section-item input + label {\n",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
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       "  color: var(--xr-font-color2);\n",
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       "\n",
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       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
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       "\n",
       ".xr-section-summary {\n",
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       "\n",
       ".xr-section-summary > span {\n",
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       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
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       "  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",
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       "\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; Size: 23MB\n",
       "Dimensions:    (depth: 1, latitude: 59, longitude: 95, time: 1009)\n",
       "Coordinates:\n",
       "  * depth      (depth) float32 4B 0.494\n",
       "  * latitude   (latitude) float32 236B 29.5 29.75 30.0 30.25 ... 43.5 43.75 44.0\n",
       "  * longitude  (longitude) float32 380B -52.75 -52.5 -52.25 ... -29.5 -29.25\n",
       "  * time       (time) datetime64[ns] 8kB 2022-05-28 2022-05-29 ... 2025-03-01\n",
       "Data variables:\n",
       "    chl        (time, depth, latitude, longitude) float32 23MB ...\n",
       "Attributes:\n",
       "    institution:               Mercator Ocean\n",
       "    references:                http://marine.copernicus.eu\n",
       "    title:                     daily mean fields from Global Ocean Biogeochem...\n",
       "    Conventions:               CF-1.6\n",
       "    contact:                   https://marine.copernicus.eu/contact\n",
       "    credit:                    E.U. Copernicus Marine Service Information (CM...\n",
       "    producer:                  CMEMS - Global Monitoring and Forecasting Centre\n",
       "    copernicusmarine_version:  2.0.0</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-f557ac46-e6f4-4338-8c20-2e5112a516a9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f557ac46-e6f4-4338-8c20-2e5112a516a9' 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'>depth</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 59</li><li><span class='xr-has-index'>longitude</span>: 95</li><li><span class='xr-has-index'>time</span>: 1009</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e4501e57-4ca4-4e8f-8f48-494fdcce121a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4501e57-4ca4-4e8f-8f48-494fdcce121a' 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'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.494</div><input id='attrs-8b904208-d279-470b-bcea-a08dab837ab5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b904208-d279-470b-bcea-a08dab837ab5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72652186-dc61-4ebf-9e59-b810ccb8163a' class='xr-var-data-in' type='checkbox'><label for='data-72652186-dc61-4ebf-9e59-b810ccb8163a' 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>units :</span></dt><dd>m</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>long_name :</span></dt><dd>Depth</dd><dt><span>unit_long :</span></dt><dd>Meters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([0.494025], dtype=float32)</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'>29.5 29.75 30.0 ... 43.5 43.75 44.0</div><input id='attrs-4d4358c1-e793-4d27-8cbb-11586a52f3d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d4358c1-e793-4d27-8cbb-11586a52f3d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93033110-e4db-487f-983e-433788321392' class='xr-var-data-in' type='checkbox'><label for='data-93033110-e4db-487f-983e-433788321392' 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>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>unit_long :</span></dt><dd>Degrees North</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([29.5 , 29.75, 30.  , 30.25, 30.5 , 30.75, 31.  , 31.25, 31.5 , 31.75,\n",
       "       32.  , 32.25, 32.5 , 32.75, 33.  , 33.25, 33.5 , 33.75, 34.  , 34.25,\n",
       "       34.5 , 34.75, 35.  , 35.25, 35.5 , 35.75, 36.  , 36.25, 36.5 , 36.75,\n",
       "       37.  , 37.25, 37.5 , 37.75, 38.  , 38.25, 38.5 , 38.75, 39.  , 39.25,\n",
       "       39.5 , 39.75, 40.  , 40.25, 40.5 , 40.75, 41.  , 41.25, 41.5 , 41.75,\n",
       "       42.  , 42.25, 42.5 , 42.75, 43.  , 43.25, 43.5 , 43.75, 44.  ],\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'>-52.75 -52.5 ... -29.5 -29.25</div><input id='attrs-d81ff8e0-f77b-4a74-8f8b-b6f91e703edd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d81ff8e0-f77b-4a74-8f8b-b6f91e703edd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-deabe904-0fdd-4112-96c1-a7c367a0be2f' class='xr-var-data-in' type='checkbox'><label for='data-deabe904-0fdd-4112-96c1-a7c367a0be2f' 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>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>unit_long :</span></dt><dd>Degrees East</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-52.75, -52.5 , -52.25, -52.  , -51.75, -51.5 , -51.25, -51.  , -50.75,\n",
       "       -50.5 , -50.25, -50.  , -49.75, -49.5 , -49.25, -49.  , -48.75, -48.5 ,\n",
       "       -48.25, -48.  , -47.75, -47.5 , -47.25, -47.  , -46.75, -46.5 , -46.25,\n",
       "       -46.  , -45.75, -45.5 , -45.25, -45.  , -44.75, -44.5 , -44.25, -44.  ,\n",
       "       -43.75, -43.5 , -43.25, -43.  , -42.75, -42.5 , -42.25, -42.  , -41.75,\n",
       "       -41.5 , -41.25, -41.  , -40.75, -40.5 , -40.25, -40.  , -39.75, -39.5 ,\n",
       "       -39.25, -39.  , -38.75, -38.5 , -38.25, -38.  , -37.75, -37.5 , -37.25,\n",
       "       -37.  , -36.75, -36.5 , -36.25, -36.  , -35.75, -35.5 , -35.25, -35.  ,\n",
       "       -34.75, -34.5 , -34.25, -34.  , -33.75, -33.5 , -33.25, -33.  , -32.75,\n",
       "       -32.5 , -32.25, -32.  , -31.75, -31.5 , -31.25, -31.  , -30.75, -30.5 ,\n",
       "       -30.25, -30.  , -29.75, -29.5 , -29.25], dtype=float32)</pre></div></li><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'>2022-05-28 ... 2025-03-01</div><input id='attrs-0545c65e-51e5-43ca-b21e-821222947119' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0545c65e-51e5-43ca-b21e-821222947119' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8312aef9-a62f-4837-b7e5-053c68f2e726' class='xr-var-data-in' type='checkbox'><label for='data-8312aef9-a62f-4837-b7e5-053c68f2e726' 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>standard_name :</span></dt><dd>time</dd><dt><span>unit_long :</span></dt><dd>Hours Since 1950-01-01</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-05-28T00:00:00.000000000&#x27;, &#x27;2022-05-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-30T00:00:00.000000000&#x27;, ..., &#x27;2025-02-27T00:00:00.000000000&#x27;,\n",
       "       &#x27;2025-02-28T00:00:00.000000000&#x27;, &#x27;2025-03-01T00:00:00.000000000&#x27;],\n",
       "      shape=(1009,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-57350866-78da-4455-9098-95ceabce41f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-57350866-78da-4455-9098-95ceabce41f0' 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>chl</span></div><div class='xr-var-dims'>(time, depth, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b58595e3-f304-4cb1-a702-0589d92a6628' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b58595e3-f304-4cb1-a702-0589d92a6628' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f40c8a2-cef4-498e-ae9b-029e49725d39' class='xr-var-data-in' type='checkbox'><label for='data-1f40c8a2-cef4-498e-ae9b-029e49725d39' 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>units :</span></dt><dd>mg m-3</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd><dt><span>long_name :</span></dt><dd>Total Chlorophyll</dd><dt><span>unit_long :</span></dt><dd>milligram of Chlorophyll per cubic meter</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5655445 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bfcabec1-8550-4494-a518-ea265fce152e' class='xr-section-summary-in' type='checkbox'  ><label for='section-bfcabec1-8550-4494-a518-ea265fce152e' 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>depth</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-91a1f758-75fc-401b-bdb8-cb9163b90804' class='xr-index-data-in' type='checkbox'/><label for='index-91a1f758-75fc-401b-bdb8-cb9163b90804' 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([0.49402538], dtype=&#x27;float32&#x27;, name=&#x27;depth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-fe380fd3-019c-43a7-901f-dff15293bc80' class='xr-index-data-in' type='checkbox'/><label for='index-fe380fd3-019c-43a7-901f-dff15293bc80' 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([ 29.5, 29.75,  30.0, 30.25,  30.5, 30.75,  31.0, 31.25,  31.5, 31.75,\n",
       "        32.0, 32.25,  32.5, 32.75,  33.0, 33.25,  33.5, 33.75,  34.0, 34.25,\n",
       "        34.5, 34.75,  35.0, 35.25,  35.5, 35.75,  36.0, 36.25,  36.5, 36.75,\n",
       "        37.0, 37.25,  37.5, 37.75,  38.0, 38.25,  38.5, 38.75,  39.0, 39.25,\n",
       "        39.5, 39.75,  40.0, 40.25,  40.5, 40.75,  41.0, 41.25,  41.5, 41.75,\n",
       "        42.0, 42.25,  42.5, 42.75,  43.0, 43.25,  43.5, 43.75,  44.0],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-27884eba-1d05-488f-9ad4-992008614a53' class='xr-index-data-in' type='checkbox'/><label for='index-27884eba-1d05-488f-9ad4-992008614a53' 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([-52.75,  -52.5, -52.25,  -52.0, -51.75,  -51.5, -51.25,  -51.0, -50.75,\n",
       "        -50.5, -50.25,  -50.0, -49.75,  -49.5, -49.25,  -49.0, -48.75,  -48.5,\n",
       "       -48.25,  -48.0, -47.75,  -47.5, -47.25,  -47.0, -46.75,  -46.5, -46.25,\n",
       "        -46.0, -45.75,  -45.5, -45.25,  -45.0, -44.75,  -44.5, -44.25,  -44.0,\n",
       "       -43.75,  -43.5, -43.25,  -43.0, -42.75,  -42.5, -42.25,  -42.0, -41.75,\n",
       "        -41.5, -41.25,  -41.0, -40.75,  -40.5, -40.25,  -40.0, -39.75,  -39.5,\n",
       "       -39.25,  -39.0, -38.75,  -38.5, -38.25,  -38.0, -37.75,  -37.5, -37.25,\n",
       "        -37.0, -36.75,  -36.5, -36.25,  -36.0, -35.75,  -35.5, -35.25,  -35.0,\n",
       "       -34.75,  -34.5, -34.25,  -34.0, -33.75,  -33.5, -33.25,  -33.0, -32.75,\n",
       "        -32.5, -32.25,  -32.0, -31.75,  -31.5, -31.25,  -31.0, -30.75,  -30.5,\n",
       "       -30.25,  -30.0, -29.75,  -29.5, -29.25],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c27e76d8-dc5d-4b6e-8908-febbea7c6e3f' class='xr-index-data-in' type='checkbox'/><label for='index-c27e76d8-dc5d-4b6e-8908-febbea7c6e3f' 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;2022-05-28&#x27;, &#x27;2022-05-29&#x27;, &#x27;2022-05-30&#x27;, &#x27;2022-05-31&#x27;,\n",
       "               &#x27;2022-06-01&#x27;, &#x27;2022-06-02&#x27;, &#x27;2022-06-03&#x27;, &#x27;2022-06-04&#x27;,\n",
       "               &#x27;2022-06-05&#x27;, &#x27;2022-06-06&#x27;,\n",
       "               ...\n",
       "               &#x27;2025-02-20&#x27;, &#x27;2025-02-21&#x27;, &#x27;2025-02-22&#x27;, &#x27;2025-02-23&#x27;,\n",
       "               &#x27;2025-02-24&#x27;, &#x27;2025-02-25&#x27;, &#x27;2025-02-26&#x27;, &#x27;2025-02-27&#x27;,\n",
       "               &#x27;2025-02-28&#x27;, &#x27;2025-03-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1009, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6898edfb-cd45-4b06-8081-74e13e5add6e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6898edfb-cd45-4b06-8081-74e13e5add6e' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>Mercator Ocean</dd><dt><span>references :</span></dt><dd>http://marine.copernicus.eu</dd><dt><span>title :</span></dt><dd>daily mean fields from Global Ocean Biogeochemistry Analysis and Forecast</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>contact :</span></dt><dd>https://marine.copernicus.eu/contact</dd><dt><span>credit :</span></dt><dd>E.U. Copernicus Marine Service Information (CMEMS)</dd><dt><span>producer :</span></dt><dd>CMEMS - Global Monitoring and Forecasting Centre</dd><dt><span>copernicusmarine_version :</span></dt><dd>2.0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 23MB\n",
       "Dimensions:    (depth: 1, latitude: 59, longitude: 95, time: 1009)\n",
       "Coordinates:\n",
       "  * depth      (depth) float32 4B 0.494\n",
       "  * latitude   (latitude) float32 236B 29.5 29.75 30.0 30.25 ... 43.5 43.75 44.0\n",
       "  * longitude  (longitude) float32 380B -52.75 -52.5 -52.25 ... -29.5 -29.25\n",
       "  * time       (time) datetime64[ns] 8kB 2022-05-28 2022-05-29 ... 2025-03-01\n",
       "Data variables:\n",
       "    chl        (time, depth, latitude, longitude) float32 23MB ...\n",
       "Attributes:\n",
       "    institution:               Mercator Ocean\n",
       "    references:                http://marine.copernicus.eu\n",
       "    title:                     daily mean fields from Global Ocean Biogeochem...\n",
       "    Conventions:               CF-1.6\n",
       "    contact:                   https://marine.copernicus.eu/contact\n",
       "    credit:                    E.U. Copernicus Marine Service Information (CM...\n",
       "    producer:                  CMEMS - Global Monitoring and Forecasting Centre\n",
       "    copernicusmarine_version:  2.0.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Open local NetCDF file\n",
    "dataset_local_file = xr.open_dataset(\"cmems_mod_glo_bgc-pft_anfc_0.25deg_P1D-m_chl_52.75W-29.25W_29.50N-44.00N_0.49m_2022-05-28-2025-03-01.nc\")\n",
    "dataset_local_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "91f598e8-b502-4bc6-b895-4d0108091936",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Close file for memory purpose\n",
    "dataset_local_file.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a315fb95-0d6d-4bd9-9f3b-00d465e0898e",
   "metadata": {},
   "source": [
    "## Open data remotely using Toolbox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3e165ea2-5978-4b11-b9eb-1cac38b87344",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO - 2025-03-03T14:38:18Z - Selected dataset version: \"202311\"\n",
      "INFO - 2025-03-03T14:38:18Z - Selected dataset part: \"default\"\n"
     ]
    }
   ],
   "source": [
    "# Read data remotely\n",
    "dataset_remote = copernicusmarine.open_dataset(\n",
    "  dataset_id=\"cmems_mod_glo_bgc-pft_anfc_0.25deg_P1D-m\",\n",
    "  variables=[\"chl\"],\n",
    "  minimum_longitude=-52.876357,\n",
    "  maximum_longitude=-29.074583,\n",
    "  minimum_latitude=29.263025,\n",
    "  maximum_latitude=44.125671,\n",
    "  start_datetime=\"2022-05-28T00:00:00\",\n",
    "  end_datetime=\"2025-03-01T00:00:00\",\n",
    "  minimum_depth=0.4940253794193268,\n",
    "  maximum_depth=0.4940253794193268,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ae7772b9-992e-4dab-87ca-713b5c38c740",
   "metadata": {},
   "outputs": [
    {
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       ".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; Size: 23MB\n",
       "Dimensions:    (depth: 1, latitude: 59, longitude: 95, time: 1009)\n",
       "Coordinates:\n",
       "  * depth      (depth) float32 4B 0.494\n",
       "  * latitude   (latitude) float32 236B 29.5 29.75 30.0 30.25 ... 43.5 43.75 44.0\n",
       "  * longitude  (longitude) float32 380B -52.75 -52.5 -52.25 ... -29.5 -29.25\n",
       "  * time       (time) datetime64[ns] 8kB 2022-05-28 2022-05-29 ... 2025-03-01\n",
       "Data variables:\n",
       "    chl        (time, depth, latitude, longitude) float32 23MB ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    institution:  Mercator Ocean\n",
       "    title:        daily mean fields from Global Ocean Biogeochemistry Analysi...\n",
       "    references:   http://marine.copernicus.eu\n",
       "    credit:       E.U. Copernicus Marine Service Information (CMEMS)\n",
       "    contact:      https://marine.copernicus.eu/contact\n",
       "    producer:     CMEMS - Global Monitoring and Forecasting Centre</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-2cf7a456-1000-4e93-9eb1-708fa10837bc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2cf7a456-1000-4e93-9eb1-708fa10837bc' 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'>depth</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 59</li><li><span class='xr-has-index'>longitude</span>: 95</li><li><span class='xr-has-index'>time</span>: 1009</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-803863e1-f1b7-4598-921c-e725f31149c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-803863e1-f1b7-4598-921c-e725f31149c4' 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'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.494</div><input id='attrs-87282a84-55d5-413f-9a82-9978e074baa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87282a84-55d5-413f-9a82-9978e074baa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa9929e9-4d3c-4126-ae41-fba5c223e5ab' class='xr-var-data-in' type='checkbox'><label for='data-fa9929e9-4d3c-4126-ae41-fba5c223e5ab' 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>unit_long :</span></dt><dd>Meters</dd><dt><span>long_name :</span></dt><dd>Depth</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0.494025], dtype=float32)</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'>29.5 29.75 30.0 ... 43.5 43.75 44.0</div><input id='attrs-59153db6-dd9f-40c1-83cb-f8486d247517' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59153db6-dd9f-40c1-83cb-f8486d247517' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c63eee8e-8e96-4dc7-8e4b-09fc66573978' class='xr-var-data-in' type='checkbox'><label for='data-c63eee8e-8e96-4dc7-8e4b-09fc66573978' 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>unit_long :</span></dt><dd>Degrees North</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([29.5 , 29.75, 30.  , 30.25, 30.5 , 30.75, 31.  , 31.25, 31.5 , 31.75,\n",
       "       32.  , 32.25, 32.5 , 32.75, 33.  , 33.25, 33.5 , 33.75, 34.  , 34.25,\n",
       "       34.5 , 34.75, 35.  , 35.25, 35.5 , 35.75, 36.  , 36.25, 36.5 , 36.75,\n",
       "       37.  , 37.25, 37.5 , 37.75, 38.  , 38.25, 38.5 , 38.75, 39.  , 39.25,\n",
       "       39.5 , 39.75, 40.  , 40.25, 40.5 , 40.75, 41.  , 41.25, 41.5 , 41.75,\n",
       "       42.  , 42.25, 42.5 , 42.75, 43.  , 43.25, 43.5 , 43.75, 44.  ],\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'>-52.75 -52.5 ... -29.5 -29.25</div><input id='attrs-5e892076-fd4c-4326-9da7-f2524d56f921' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e892076-fd4c-4326-9da7-f2524d56f921' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e0954cc-4e8f-4f1c-848b-7e81be77cf96' class='xr-var-data-in' type='checkbox'><label for='data-3e0954cc-4e8f-4f1c-848b-7e81be77cf96' 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>unit_long :</span></dt><dd>Degrees East</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-52.75, -52.5 , -52.25, -52.  , -51.75, -51.5 , -51.25, -51.  , -50.75,\n",
       "       -50.5 , -50.25, -50.  , -49.75, -49.5 , -49.25, -49.  , -48.75, -48.5 ,\n",
       "       -48.25, -48.  , -47.75, -47.5 , -47.25, -47.  , -46.75, -46.5 , -46.25,\n",
       "       -46.  , -45.75, -45.5 , -45.25, -45.  , -44.75, -44.5 , -44.25, -44.  ,\n",
       "       -43.75, -43.5 , -43.25, -43.  , -42.75, -42.5 , -42.25, -42.  , -41.75,\n",
       "       -41.5 , -41.25, -41.  , -40.75, -40.5 , -40.25, -40.  , -39.75, -39.5 ,\n",
       "       -39.25, -39.  , -38.75, -38.5 , -38.25, -38.  , -37.75, -37.5 , -37.25,\n",
       "       -37.  , -36.75, -36.5 , -36.25, -36.  , -35.75, -35.5 , -35.25, -35.  ,\n",
       "       -34.75, -34.5 , -34.25, -34.  , -33.75, -33.5 , -33.25, -33.  , -32.75,\n",
       "       -32.5 , -32.25, -32.  , -31.75, -31.5 , -31.25, -31.  , -30.75, -30.5 ,\n",
       "       -30.25, -30.  , -29.75, -29.5 , -29.25], dtype=float32)</pre></div></li><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'>2022-05-28 ... 2025-03-01</div><input id='attrs-f8750cf3-cfa1-469a-bef5-f70024822ddf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8750cf3-cfa1-469a-bef5-f70024822ddf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f360f552-fcbc-416a-9562-a9a81ad66d59' class='xr-var-data-in' type='checkbox'><label for='data-f360f552-fcbc-416a-9562-a9a81ad66d59' 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>unit_long :</span></dt><dd>Hours Since 1950-01-01</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-05-28T00:00:00.000000000&#x27;, &#x27;2022-05-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-30T00:00:00.000000000&#x27;, ..., &#x27;2025-02-27T00:00:00.000000000&#x27;,\n",
       "       &#x27;2025-02-28T00:00:00.000000000&#x27;, &#x27;2025-03-01T00:00:00.000000000&#x27;],\n",
       "      shape=(1009,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-25a5df3b-22b2-4adf-a540-1f357d13b121' class='xr-section-summary-in' type='checkbox'  checked><label for='section-25a5df3b-22b2-4adf-a540-1f357d13b121' 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>chl</span></div><div class='xr-var-dims'>(time, depth, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ccc1febe-d437-406e-bf11-48e033d45bc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccc1febe-d437-406e-bf11-48e033d45bc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23bd9193-ac14-44a0-95ca-5bf7db95cf91' class='xr-var-data-in' type='checkbox'><label for='data-23bd9193-ac14-44a0-95ca-5bf7db95cf91' 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>unit_long :</span></dt><dd>milligram of Chlorophyll per cubic meter</dd><dt><span>long_name :</span></dt><dd>Total Chlorophyll</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>units :</span></dt><dd>mg m-3</dd></dl></div><div class='xr-var-data'><pre>[5655445 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ced7f0ae-050c-455b-94c4-265e587c4642' class='xr-section-summary-in' type='checkbox'  ><label for='section-ced7f0ae-050c-455b-94c4-265e587c4642' 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>depth</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5a7d6bc0-2844-4544-aff6-a69529f8ae70' class='xr-index-data-in' type='checkbox'/><label for='index-5a7d6bc0-2844-4544-aff6-a69529f8ae70' 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([0.49402538], dtype=&#x27;float32&#x27;, name=&#x27;depth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-05cc7f77-b774-46fc-b424-2f140024484d' class='xr-index-data-in' type='checkbox'/><label for='index-05cc7f77-b774-46fc-b424-2f140024484d' 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([ 29.5, 29.75,  30.0, 30.25,  30.5, 30.75,  31.0, 31.25,  31.5, 31.75,\n",
       "        32.0, 32.25,  32.5, 32.75,  33.0, 33.25,  33.5, 33.75,  34.0, 34.25,\n",
       "        34.5, 34.75,  35.0, 35.25,  35.5, 35.75,  36.0, 36.25,  36.5, 36.75,\n",
       "        37.0, 37.25,  37.5, 37.75,  38.0, 38.25,  38.5, 38.75,  39.0, 39.25,\n",
       "        39.5, 39.75,  40.0, 40.25,  40.5, 40.75,  41.0, 41.25,  41.5, 41.75,\n",
       "        42.0, 42.25,  42.5, 42.75,  43.0, 43.25,  43.5, 43.75,  44.0],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-070a1b50-9b19-4942-97cb-a2c9933632a6' class='xr-index-data-in' type='checkbox'/><label for='index-070a1b50-9b19-4942-97cb-a2c9933632a6' 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([-52.75,  -52.5, -52.25,  -52.0, -51.75,  -51.5, -51.25,  -51.0, -50.75,\n",
       "        -50.5, -50.25,  -50.0, -49.75,  -49.5, -49.25,  -49.0, -48.75,  -48.5,\n",
       "       -48.25,  -48.0, -47.75,  -47.5, -47.25,  -47.0, -46.75,  -46.5, -46.25,\n",
       "        -46.0, -45.75,  -45.5, -45.25,  -45.0, -44.75,  -44.5, -44.25,  -44.0,\n",
       "       -43.75,  -43.5, -43.25,  -43.0, -42.75,  -42.5, -42.25,  -42.0, -41.75,\n",
       "        -41.5, -41.25,  -41.0, -40.75,  -40.5, -40.25,  -40.0, -39.75,  -39.5,\n",
       "       -39.25,  -39.0, -38.75,  -38.5, -38.25,  -38.0, -37.75,  -37.5, -37.25,\n",
       "        -37.0, -36.75,  -36.5, -36.25,  -36.0, -35.75,  -35.5, -35.25,  -35.0,\n",
       "       -34.75,  -34.5, -34.25,  -34.0, -33.75,  -33.5, -33.25,  -33.0, -32.75,\n",
       "        -32.5, -32.25,  -32.0, -31.75,  -31.5, -31.25,  -31.0, -30.75,  -30.5,\n",
       "       -30.25,  -30.0, -29.75,  -29.5, -29.25],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-05428ee2-dd5e-4c83-b1d2-1717c7b83594' class='xr-index-data-in' type='checkbox'/><label for='index-05428ee2-dd5e-4c83-b1d2-1717c7b83594' 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;2022-05-28&#x27;, &#x27;2022-05-29&#x27;, &#x27;2022-05-30&#x27;, &#x27;2022-05-31&#x27;,\n",
       "               &#x27;2022-06-01&#x27;, &#x27;2022-06-02&#x27;, &#x27;2022-06-03&#x27;, &#x27;2022-06-04&#x27;,\n",
       "               &#x27;2022-06-05&#x27;, &#x27;2022-06-06&#x27;,\n",
       "               ...\n",
       "               &#x27;2025-02-20&#x27;, &#x27;2025-02-21&#x27;, &#x27;2025-02-22&#x27;, &#x27;2025-02-23&#x27;,\n",
       "               &#x27;2025-02-24&#x27;, &#x27;2025-02-25&#x27;, &#x27;2025-02-26&#x27;, &#x27;2025-02-27&#x27;,\n",
       "               &#x27;2025-02-28&#x27;, &#x27;2025-03-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1009, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c392d6ec-a3cb-4f0e-bf27-fc7191772d12' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c392d6ec-a3cb-4f0e-bf27-fc7191772d12' class='xr-section-summary' >Attributes: <span>(7)</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>institution :</span></dt><dd>Mercator Ocean</dd><dt><span>title :</span></dt><dd>daily mean fields from Global Ocean Biogeochemistry Analysis and Forecast</dd><dt><span>references :</span></dt><dd>http://marine.copernicus.eu</dd><dt><span>credit :</span></dt><dd>E.U. Copernicus Marine Service Information (CMEMS)</dd><dt><span>contact :</span></dt><dd>https://marine.copernicus.eu/contact</dd><dt><span>producer :</span></dt><dd>CMEMS - Global Monitoring and Forecasting Centre</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 23MB\n",
       "Dimensions:    (depth: 1, latitude: 59, longitude: 95, time: 1009)\n",
       "Coordinates:\n",
       "  * depth      (depth) float32 4B 0.494\n",
       "  * latitude   (latitude) float32 236B 29.5 29.75 30.0 30.25 ... 43.5 43.75 44.0\n",
       "  * longitude  (longitude) float32 380B -52.75 -52.5 -52.25 ... -29.5 -29.25\n",
       "  * time       (time) datetime64[ns] 8kB 2022-05-28 2022-05-29 ... 2025-03-01\n",
       "Data variables:\n",
       "    chl        (time, depth, latitude, longitude) float32 23MB ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    institution:  Mercator Ocean\n",
       "    title:        daily mean fields from Global Ocean Biogeochemistry Analysi...\n",
       "    references:   http://marine.copernicus.eu\n",
       "    credit:       E.U. Copernicus Marine Service Information (CMEMS)\n",
       "    contact:      https://marine.copernicus.eu/contact\n",
       "    producer:     CMEMS - Global Monitoring and Forecasting Centre"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Display remote data (equivalent to local NetCDF file)\n",
    "dataset_remote"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8403f23-04e7-4c53-ae11-403fe7fda445",
   "metadata": {},
   "source": [
    "### Plot CHL for one date (map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "790da3eb-8762-4583-8497-374db931934d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x20b1e32d070>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Map plot of the CHL for one specific date\n",
    "dataset_remote.chl.sel(time=\"2025-03-01\").plot(vmin=0, vmax=2.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92c01c76-2140-4063-b71c-630d8fb66cdf",
   "metadata": {},
   "source": [
    "### Calculate and plot CHL mean over time (chart)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "275988ec-4c63-42cd-842b-217809f4de1d",
   "metadata": {},
   "outputs": [
    {
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       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0);\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; Size: 12kB\n",
       "Dimensions:  (depth: 1, time: 1009)\n",
       "Coordinates:\n",
       "  * depth    (depth) float32 4B 0.494\n",
       "  * time     (time) datetime64[ns] 8kB 2022-05-28 2022-05-29 ... 2025-03-01\n",
       "Data variables:\n",
       "    chl      (time, depth) float32 4kB 0.3609 0.3563 0.3484 ... 0.4406 0.4844</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-122ab0d3-2a08-43b4-abae-c7a4112d7ba6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-122ab0d3-2a08-43b4-abae-c7a4112d7ba6' 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'>depth</span>: 1</li><li><span class='xr-has-index'>time</span>: 1009</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-045ad2c8-365e-4697-81c1-4c00a2e8634c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-045ad2c8-365e-4697-81c1-4c00a2e8634c' 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'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.494</div><input id='attrs-f98ffad9-d975-42ef-8880-f61b047d1306' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f98ffad9-d975-42ef-8880-f61b047d1306' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f093ba05-dfb0-47d9-b7bd-9345a52b4082' class='xr-var-data-in' type='checkbox'><label for='data-f093ba05-dfb0-47d9-b7bd-9345a52b4082' 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>unit_long :</span></dt><dd>Meters</dd><dt><span>long_name :</span></dt><dd>Depth</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0.494025], dtype=float32)</pre></div></li><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'>2022-05-28 ... 2025-03-01</div><input id='attrs-30e7909c-a7ea-4e01-9a87-80440a49d299' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30e7909c-a7ea-4e01-9a87-80440a49d299' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99e34639-8066-4c0f-b961-0b4d8ae7fd81' class='xr-var-data-in' type='checkbox'><label for='data-99e34639-8066-4c0f-b961-0b4d8ae7fd81' 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>unit_long :</span></dt><dd>Hours Since 1950-01-01</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-05-28T00:00:00.000000000&#x27;, &#x27;2022-05-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-30T00:00:00.000000000&#x27;, ..., &#x27;2025-02-27T00:00:00.000000000&#x27;,\n",
       "       &#x27;2025-02-28T00:00:00.000000000&#x27;, &#x27;2025-03-01T00:00:00.000000000&#x27;],\n",
       "      shape=(1009,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2263e9da-a30c-457d-b3fb-1e166144a763' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2263e9da-a30c-457d-b3fb-1e166144a763' 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>chl</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.3609 0.3563 ... 0.4406 0.4844</div><input id='attrs-89c262a8-3fb9-4f56-911a-4b9f5b8f55b6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89c262a8-3fb9-4f56-911a-4b9f5b8f55b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03b92d46-bc60-460e-8501-eede052ed321' class='xr-var-data-in' type='checkbox'><label for='data-03b92d46-bc60-460e-8501-eede052ed321' 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([[0.36088666],\n",
       "       [0.3563101 ],\n",
       "       [0.3483583 ],\n",
       "       ...,\n",
       "       [0.3980097 ],\n",
       "       [0.4405924 ],\n",
       "       [0.48439738]], shape=(1009, 1), dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af966bdd-3049-417e-b2e9-754d38fce79b' class='xr-section-summary-in' type='checkbox'  ><label for='section-af966bdd-3049-417e-b2e9-754d38fce79b' 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>depth</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f8444912-b2c8-4c0c-a659-cf844c22924a' class='xr-index-data-in' type='checkbox'/><label for='index-f8444912-b2c8-4c0c-a659-cf844c22924a' 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([0.49402538], dtype=&#x27;float32&#x27;, name=&#x27;depth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d94a1adc-6f9b-4c0d-b16e-f6632e620818' class='xr-index-data-in' type='checkbox'/><label for='index-d94a1adc-6f9b-4c0d-b16e-f6632e620818' 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;2022-05-28&#x27;, &#x27;2022-05-29&#x27;, &#x27;2022-05-30&#x27;, &#x27;2022-05-31&#x27;,\n",
       "               &#x27;2022-06-01&#x27;, &#x27;2022-06-02&#x27;, &#x27;2022-06-03&#x27;, &#x27;2022-06-04&#x27;,\n",
       "               &#x27;2022-06-05&#x27;, &#x27;2022-06-06&#x27;,\n",
       "               ...\n",
       "               &#x27;2025-02-20&#x27;, &#x27;2025-02-21&#x27;, &#x27;2025-02-22&#x27;, &#x27;2025-02-23&#x27;,\n",
       "               &#x27;2025-02-24&#x27;, &#x27;2025-02-25&#x27;, &#x27;2025-02-26&#x27;, &#x27;2025-02-27&#x27;,\n",
       "               &#x27;2025-02-28&#x27;, &#x27;2025-03-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1009, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-21397f82-8386-4b07-a08a-0aeae9edfb8a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-21397f82-8386-4b07-a08a-0aeae9edfb8a' 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> Size: 12kB\n",
       "Dimensions:  (depth: 1, time: 1009)\n",
       "Coordinates:\n",
       "  * depth    (depth) float32 4B 0.494\n",
       "  * time     (time) datetime64[ns] 8kB 2022-05-28 2022-05-29 ... 2025-03-01\n",
       "Data variables:\n",
       "    chl      (time, depth) float32 4kB 0.3609 0.3563 0.3484 ... 0.4406 0.4844"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Work out the mean over area\n",
    "remote_mean_plankton = dataset_remote.mean(dim=['latitude', 'longitude'])\n",
    "remote_mean_plankton"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9cb21f2d-4c2d-4bad-a25b-d6ba70c2bbf3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the mean chlorophyll over time using remote data\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(remote_mean_plankton['time'], remote_mean_plankton.chl, marker='o', linestyle='-', color='green', linewidth=1.5, markersize=4)\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Mean Chlorophyll')\n",
    "plt.title('Mean Chlorophyll Over Time in the Selected Area')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cee43c38-c041-401a-b5d4-55d06104c298",
   "metadata": {},
   "source": [
    "#### Plot CHL mean using MyOcean Pro's file (chart)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5852be3e-b887-4cb6-9998-3ba383981cea",
   "metadata": {},
   "source": [
    "Downloading the NetCDF file from MyOcean Pro is equivalent to calculate the mean as previously:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "68a62c06-930b-4b71-bb6b-1f93e63dfa73",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 12kB\n",
       "Dimensions:  (time: 1025)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 8kB 2022-05-18 2022-05-19 ... 2025-03-07\n",
       "Data variables:\n",
       "    chl      (time) float32 4kB ...\n",
       "Attributes:\n",
       "    Conventions:       CF-1.11\n",
       "    title:             daily mean fields from Global Ocean Biogeochemistry An...\n",
       "    institution:       Mercator Ocean\n",
       "    producer:          CMEMS - Global Monitoring and Forecasting Centre\n",
       "    credit:            E.U. Copernicus Marine Service Information (CMEMS)\n",
       "    contact:           https://marine.copernicus.eu/contact\n",
       "    references:        http://marine.copernicus.eu\n",
       "    subset:source:     ARCO data downloaded from the Marine Data Store using ...\n",
       "    subset:productId:  GLOBAL_ANALYSISFORECAST_BGC_001_028\n",
       "    subset:datasetId:  cmems_mod_glo_bgc-pft_anfc_0.25deg_P1D-m_202311\n",
       "    subset:date:       2025-02-28T13:15:19.673Z</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-7a766de6-af4a-4fbb-ad25-f288cc698d81' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7a766de6-af4a-4fbb-ad25-f288cc698d81' 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>: 1025</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-701d3f78-b17c-407b-a9ed-107d604cab0a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-701d3f78-b17c-407b-a9ed-107d604cab0a' 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'>2022-05-18 ... 2025-03-07</div><input id='attrs-d7345a2b-0a4b-411f-8276-89b9078340e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7345a2b-0a4b-411f-8276-89b9078340e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1db18302-83be-4783-8230-168a2e0b73c1' class='xr-var-data-in' type='checkbox'><label for='data-1db18302-83be-4783-8230-168a2e0b73c1' 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>long_name :</span></dt><dd>Time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-05-18T00:00:00.000000000&#x27;, &#x27;2022-05-19T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-20T00:00:00.000000000&#x27;, ..., &#x27;2025-03-05T00:00:00.000000000&#x27;,\n",
       "       &#x27;2025-03-06T00:00:00.000000000&#x27;, &#x27;2025-03-07T00:00:00.000000000&#x27;],\n",
       "      shape=(1025,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-312fb3cc-46b2-4345-8eb9-6427b6a7ff89' class='xr-section-summary-in' type='checkbox'  checked><label for='section-312fb3cc-46b2-4345-8eb9-6427b6a7ff89' 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>chl</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-4a52585a-540e-4f0c-a9af-b5bc3fde11bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a52585a-540e-4f0c-a9af-b5bc3fde11bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fda636b9-c6c8-4b01-8af0-91a4d16f6c03' class='xr-var-data-in' type='checkbox'><label for='data-fda636b9-c6c8-4b01-8af0-91a4d16f6c03' 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>units :</span></dt><dd>mg m-3</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd><dt><span>long_name :</span></dt><dd>Total Chlorophyll</dd><dt><span>unit_long :</span></dt><dd>milligram of Chlorophyll per cubic meter</dd><dt><span>valid_max :</span></dt><dd>100.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1025 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a051db98-346b-4d5c-9e2e-64b16095c1a1' class='xr-section-summary-in' type='checkbox'  ><label for='section-a051db98-346b-4d5c-9e2e-64b16095c1a1' 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><input type='checkbox' disabled/><label></label><input id='index-5b8a46c1-43d7-4632-b108-eef0e69ed827' class='xr-index-data-in' type='checkbox'/><label for='index-5b8a46c1-43d7-4632-b108-eef0e69ed827' 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;2022-05-18&#x27;, &#x27;2022-05-19&#x27;, &#x27;2022-05-20&#x27;, &#x27;2022-05-21&#x27;,\n",
       "               &#x27;2022-05-22&#x27;, &#x27;2022-05-23&#x27;, &#x27;2022-05-24&#x27;, &#x27;2022-05-25&#x27;,\n",
       "               &#x27;2022-05-26&#x27;, &#x27;2022-05-27&#x27;,\n",
       "               ...\n",
       "               &#x27;2025-02-26&#x27;, &#x27;2025-02-27&#x27;, &#x27;2025-02-28&#x27;, &#x27;2025-03-01&#x27;,\n",
       "               &#x27;2025-03-02&#x27;, &#x27;2025-03-03&#x27;, &#x27;2025-03-04&#x27;, &#x27;2025-03-05&#x27;,\n",
       "               &#x27;2025-03-06&#x27;, &#x27;2025-03-07&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1025, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8383704-f4d8-4e44-9dc2-daee637e1169' class='xr-section-summary-in' type='checkbox'  ><label for='section-b8383704-f4d8-4e44-9dc2-daee637e1169' class='xr-section-summary' >Attributes: <span>(11)</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-1.11</dd><dt><span>title :</span></dt><dd>daily mean fields from Global Ocean Biogeochemistry Analysis and Forecast</dd><dt><span>institution :</span></dt><dd>Mercator Ocean</dd><dt><span>producer :</span></dt><dd>CMEMS - Global Monitoring and Forecasting Centre</dd><dt><span>credit :</span></dt><dd>E.U. Copernicus Marine Service Information (CMEMS)</dd><dt><span>contact :</span></dt><dd>https://marine.copernicus.eu/contact</dd><dt><span>references :</span></dt><dd>http://marine.copernicus.eu</dd><dt><span>subset:source :</span></dt><dd>ARCO data downloaded from the Marine Data Store using the MyOcean Data Portal</dd><dt><span>subset:productId :</span></dt><dd>GLOBAL_ANALYSISFORECAST_BGC_001_028</dd><dt><span>subset:datasetId :</span></dt><dd>cmems_mod_glo_bgc-pft_anfc_0.25deg_P1D-m_202311</dd><dt><span>subset:date :</span></dt><dd>2025-02-28T13:15:19.673Z</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 12kB\n",
       "Dimensions:  (time: 1025)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 8kB 2022-05-18 2022-05-19 ... 2025-03-07\n",
       "Data variables:\n",
       "    chl      (time) float32 4kB ...\n",
       "Attributes:\n",
       "    Conventions:       CF-1.11\n",
       "    title:             daily mean fields from Global Ocean Biogeochemistry An...\n",
       "    institution:       Mercator Ocean\n",
       "    producer:          CMEMS - Global Monitoring and Forecasting Centre\n",
       "    credit:            E.U. Copernicus Marine Service Information (CMEMS)\n",
       "    contact:           https://marine.copernicus.eu/contact\n",
       "    references:        http://marine.copernicus.eu\n",
       "    subset:source:     ARCO data downloaded from the Marine Data Store using ...\n",
       "    subset:productId:  GLOBAL_ANALYSISFORECAST_BGC_001_028\n",
       "    subset:datasetId:  cmems_mod_glo_bgc-pft_anfc_0.25deg_P1D-m_202311\n",
       "    subset:date:       2025-02-28T13:15:19.673Z"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read local NetCDF file (mean from MyOcean Pro)\n",
    "mean_chl_from_myocean = xr.open_dataset(\"chl_from_MyOcean.nc\")\n",
    "mean_chl_from_myocean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4002620d-c75b-42d2-a270-a922b3d398f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the mean chlorophyll over time\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.plot(mean_chl_from_myocean['time'], mean_chl_from_myocean.chl, marker='o', linestyle='-', color='green', linewidth=1.5, markersize=4)\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Mean Chlorophyll')\n",
    "plt.title('Mean Chlorophyll Over Time in the Selected Area')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cmt_2.0.0",
   "language": "python",
   "name": "cmt_2.0.0"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}