Richard Müller

发表

Surface radiation climatology derived from Meteosat First and Second Generation satellites

R. Stöckli, J. Trentmann, R. Posselt, 2010 .

Artificial Intelligence Revolutionises Weather Forecast, Climate Monitoring and Decadal Prediction

Steven Dewitte, Jan Cornelis, Richard Müller, 2021, Remote. Sens..

VADUGS: a neural network for the remote sensing of volcanic ash with MSG/SEVIRI trained with synthetic thermal satellite observations simulated with a radiative transfer model

B. Mayer, L. Bugliaro, J. Kar, 2022, Natural Hazards and Earth System Sciences.

Combining radiative transfer calculations and a neural network for the remote sensing of volcanic ash using MSG/SEVIRI

B. Mayer, L. Bugliaro, J. Kar, 2021 .

Analysis of extreme summers and prior late winter/spring conditions in central Europe

R. Müller, J. Bendix, Richard Müller, 2013 .

End-to-End Prediction of Lightning Events from Geostationary Satellite Images

E. Schömer, Michael Wand, S. Brodehl, 2022, Remote Sensing.

A Novel Approach for the Global Detection and Nowcasting of Deep Convection and Thunderstorms

M. Jerg, S. Haussler, Richard Müller, 2022, Remote. Sens..

A surface radiation climatology across two Meteosat satellite generations

Mark A. Liniger, Jörg Trentmann, Reto Stöckli, 2013 .

Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers

L. Bugliaro, M. Jerg, Richard Müller, 2023, Remote. Sens..

Data-Driven Prediction of Severe Convection at Deutscher Wetterdienst (DWD): A Brief Overview of Recent Developments

Richard Müller, Axel Barleben, 2024, Atmosphere.