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Time	Monday	Tuesday	Wednesday	Thursday	Friday
9:30 -10:45	Meet the course participants	The infrared spectrum- measurement, modelling and information content Tony McNally	GPS Radio Occulation: Extended applications Sean Healy	Satellites for environmental monitoring and forecasting Antje Inness	Satellite information on the ocean surface (SCAT) Giovanna De Chiara
11:15...12:30	Theoretical background (1) What do satellites measure ? Tony McNally	GPS Radio Occulation: Principles and NWP use Sean Healy	The detection and assimilation of clouds in infrared radiances Tony McNally	Background errors for satellite data assimilation Tony McNally	Bias correction methods for satellite data Niels Bormann
14:00...15:15	Theoretical background (2) Data assimilation algorithms, Key elements and inputs Tony McNally	Satellite information on the land surface Patricia de Rosnay	The detection and assimilation of clouds and rain in microwave radiances Alan Geer	Observation errors for satellite data assimilation Niels Bormann	Current satellite observing network and its future evolution Stephen English
15:45...17:00	The microwave spectrum, measurement, modelling and information content Alan Geer	A Practical guide to IR and MW radiative transfer – using the RTTOV model and GUI David Rundle (UK Met Office)	Wind information from satellites (Atmospheric Motion Vectors) Katie Lean	1DVar theory, simulator + practical session on background and observation errors Tony McNally	Question and answer session, course evaluation

After this lecture, students will be able to:

explain the physical and practical motivations for using stochastic physics in an ensemble forecast;
describe the two stochastic parameterization schemes used in the IFS ensemble, and their respective purposes;
be able to identify the improvement in forecasting skill from the inclusion of stochastic physics.