{ "cells": [ { "cell_type": "markdown", "id": "municipal-blake", "metadata": {}, "source": [ "\n", "\n", "# Exploring an ozone product available through the Climate Data Store (CDS)\n", "\n", "In this notebook we show a practical example on how to investigate ozone products from the [CDS](https://cds.climate.copernicus.eu/datasets/satellite-ozone-v1?tab=overview). We will explore here the spatial and temporal ozone distribution of the total ozone columns. Total colum means here, the sum over all ozone from ground till top of the atmosphere. These are generally measured from space using earthshine backscattered radiance\n", "observations from nadir-viewing instruments. For altitude dependent information we refer to the ozone vertical profiles. \n", "In a first step we will show how to retrieve one of the total ozone column dataset from the CDS. This dataset consists out of gridded monthly ozone files, which contain global distributions of ozone vertical columns on a global latitude, longitude grid. \n", "In a second step we perform a spatial and temporal analysis of the ozone distribution by visualizing the data. Here we present four typical use cases:\n", "* Time series (Hovmöller diagram) of ozone: ozone distribution as a function of latitude over the years. \n", "* The evolution of the global ozone distribution during the course over the year 2021. \n", "* The evolution of the ozone hole above the Antarctic continent over the year 2021.\n", "* The evolution of the ozone hole above the Antarctic continent over multiple years (1995-2022). \n", "\n", "The last step derives conclusions about the plots we made. \n", "From the examples in this notebook, one should have an idea on how data from the CDS can be visualized to study total ozone spatial and temporal variability. We encourage the reader to create variations on the examples here provided. In the end, one should also be able to investigate the other ozone products in similar ways. \n" ] }, { "cell_type": "markdown", "id": "15ef4c75", "metadata": {}, "source": [ "This tutorial is in the form of a [Jupyter notebook](https://jupyter.org/). You will not need to install any software for the training as there are a number of free cloud-based services to create, edit, run and export Jupyter notebooks such as this. Here are some suggestions (simply click on one of the links below to run the notebook):\n", "\n", "\n", "\n", "
Run the tutorial via free cloud platforms: | \n", "\n",
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