Practical introduction to the Sea level gridded data: plotting data during an El Niño event and over a strong current
Surface Albedo product. Three case studies: data retrieval, visualisation, time-series creation, set up Python environment
LAI and fAPAR retrieved with satellite remote sensing. Computation of inverse variance weights
Evaluating CAMS global aerosol forecasts by comparing model AOD with AERONET observations at selected sites.
Exploring CAMS global reanalysis fields to study atmospheric composition, trends, and long-term variability.
Investigating CAMS regional air-quality forecasts to examine high-resolution pollutant fields and time series.
Investigating and visualising CAMS NOx anthropogenic and natural emissions inventories.
Exploring bias in CAMS forecasts using observations and introducing how MOS helps address systematic errors.
View trends in air and sea surface temperatures in ERA5 data from the C3S Climate Data Store. Calculate and plot anomalies.
Access CMIP6 global climate projections from the C3S Climate Data Store, plot projected 2m temperature from model ensemble.
Introduction to CORDEX regional climate model data on single levels. Compute difference in air temperature climatologies.
How to combine multiple variables of climate data to create an index: wind speed index as an example
