This lesson is focused on how to gain flexibility and control when handling GRIB data using advanced ecCodes tools.
Six modules introducing the main topics in machine learning in the context of weather and climate.
Calculating and mapping the European AQI from CAMS pollutant data and analysing pollutants with heat maps.
Processing and visualising CAMS ozone fields to visualise and animate the Antarctic ozone hole.
Access CAMS global atmospheric composition forecasts and view time series as animations.
Create maps of CAMS global atmospheric composition forecast data for multiple parameters.
Visualising vertical profiles of species from CAMS data to examine atmospheric layering and profile behaviour.
Downloading, calculating and plotting global CO2 time series using CAMS reanalysis data.
