LSWT from satellite radiometers: download and extraction; visualization of timeseries and location of the lake centre; quality and uncertainty
How to access the water level data for a specified lake and how to visualise its timeseries and yearly water level anomalies
GTSM reanalysis experiment data are used to explore historical storm events.
How to use data from CDS to compute an agroclimatic indicator, specifically, the "Warm and wet days" (WW) indicator
OC and SST datasets from CDS: subset and download, visualise time series, aggregate daily to monthly, calculate anomalies
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
Introducing the theory of comparing satellite retrievals with model fields using averaging kernels and operators.
Analysing TROPOMI ozone profiles using averaging kernels to compare satellite retrievals with model vertical structure.
Comparing TROPOMI NO₂ observations with CAMS regional fields to assess spatial patterns and air-quality variability.
Evaluating CAMS global aerosol forecasts by comparing model AOD with AERONET observations at selected sites.