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New approaches for using satellite observations in numerical weather prediction
New approaches for using satellite observations in numerical weather prediction
Satellite observations provide high-resolution information on the state of the atmosphere. This thesis examines two novel approaches for using satellite observations in numerical weather prediction. The primary observations used are provided by the SEVIRI instrument on EUMETSAT's geostationary MSG satellite. Forward operators are applied to the model output of Deutscher Wetterdienst's regional numerical weather forecasting system to generate synthetic visible and infrared satellite images. The first approach combines two complementary satellite channels providing a wealth of information to better understand the model representation of clouds. The second approach assimilates visible satellite observations for the improvement of model initial conditions and subsequent forecasts.
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Geiß, Stefan
2021
English
Universitätsbibliothek der Ludwig-Maximilians-Universität München
Geiß, Stefan (2021): New approaches for using satellite observations in numerical weather prediction. Dissertation, LMU München: Faculty of Physics
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Abstract

Satellite observations provide high-resolution information on the state of the atmosphere. This thesis examines two novel approaches for using satellite observations in numerical weather prediction. The primary observations used are provided by the SEVIRI instrument on EUMETSAT's geostationary MSG satellite. Forward operators are applied to the model output of Deutscher Wetterdienst's regional numerical weather forecasting system to generate synthetic visible and infrared satellite images. The first approach combines two complementary satellite channels providing a wealth of information to better understand the model representation of clouds. The second approach assimilates visible satellite observations for the improvement of model initial conditions and subsequent forecasts.