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TimeMondayTuesdayWednesdayThursdayFriday
9:30 -10:45Meet 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.

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