template changes

Author: wplouvie

greenhouse-gases-level3-products.ipynb

@@ -24,11 +24,26 @@
     "# How to access, read and use satellite XCO2 and XCH4 Level 3 data products"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "87917493",
+   "metadata": {},
+   "source": [
+    "**This notebook can be run on free online platforms, such as Binder, Kaggle and Colab, or they can be accessed from GitHub. The links to run this notebook in these environments are provided here, but please note they are not supported by ECMWF.** \n",
+    "\n",
+    "[![binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/ecmwf-training/c3s-training-submodule-sat-obs-atmos-comp/develop?labpath=greenhouse-gases-level3-products.ipynb)\n",
+    "[![kaggle](https://kaggle.com/static/images/open-in-kaggle.svg)](https://kaggle.com/kernels/welcome?src=https://github.com/ecmwf-training/c3s-training-submodule-sat-obs-atmos-comp/blob/develop/greenhouse-gases-level3-products.ipynb)\n",
+    "[![colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ecmwf-training/c3s-training-submodule-sat-obs-atmos-comp/blob/develop/greenhouse-gases-level3-products.ipynb)\n",
+    "[![github](https://img.shields.io/badge/Open%20in-GitHub-black?logo=github)](https://github.com/ecmwf-training/c3s-training-submodule-sat-obs-atmos-comp/blob/develop/greenhouse-gases-level3-products.ipynb)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "51ae6850",
    "metadata": {},
    "source": [
+    "## Learning objectives 🎯\n",
+    "\n",
     "This is a Jupyter Notebook (JN) illustrating how to access, read and use Greenhouse Gas (GHG) atmospheric carbon dioxide (CO2) and methane (CH4) data products as generated in the framework of the Copernicus Climate Change Service (C3S).\n",
     "\n",
     "The C3S GHG data products used here are retrieved from satellite radiance measurement using dedicated retrieval algorithms. Most of these algorithms have been developed in the past within the Climate Change Initiative (CCI) of the European Space Agency (ESA). These algorithms are now used to operationally generate the corresponding data products within the European Union (EU) C3S project. The data products are freely available for all interested users from the Copernicus Climate Data Store (CDS,\n",
@@ -47,37 +62,15 @@
     "The L3 XCO2 data product used here has product identifier (ID) XCO2_OBS4MIPS and the L3 XCH4 product ID is XCH4_OBS4MIPS. The code has been tested using version 4.5 of these products, which covers the period from beginning of 2003 to end of 2022."
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "d24467d3",
-   "metadata": {},
-   "source": [
-    "## How to read and process the satellite data with Python"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d16056d2",
-   "metadata": {},
-   "source": [
-    "In the following, Phython 3 code is provided to read and process the satellite data. \n",
-    "\n",
-    "It is assumed that Python and Jupyter Notebook (JN) is installed on your computer, e.g., using the Anaconda distribution (https://www.anaconda.com/products/distribution)."
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "31276916",
    "metadata": {},
    "source": [
-    "## Imports"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3a63e257",
-   "metadata": {},
-   "source": [
+    "## Prepare your environment\n",
+    "\n",
+    "### (Install and) Import libraries\n",
+    "\n",
     "First we have to import some modules:"
    ]
   },