Learn about sources of error in NWP, how they are quantified, and how ensembles are evaluated.
Learn about the unique role of snow in forecasting, from short-range to seasonal time scales.
Learn about the ways in which forecast jumpiness can appear and how it can be mitigated.
Learn about the role of satellite observations and measurements, and how these are assimilated and monitored for NWP.
Learn about uncertainties and chaotic behaviour in NWP, why ensembles are needed and how they are used at ECMWF.
Learn about data assimilation and how it is used to define ‘optimal' initial conditions for NWP at ECMWF.
Learn how sub-grid-scale processes (not explicitly simulated in NWP), are parameterised and how challenges are overcome.
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.
Investigating and visualising CAMS NOx anthropogenic and natural emissions inventories.
Evaluating CAMS global aerosol forecasts by comparing model AOD with AERONET observations at selected sites.
