Meike Kühnlein

Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI

Meike Kühnlein, Tim Appelhans, Boris Thies · Remote Sensing of Environment · 2013 · 213 citations · Full text

Earth Observation, Environmental Monitoring, Engineering +28

Precipitation Estimates from MSG SEVIRI Daytime, Nighttime, and Twilight Data with Random Forests

Meike Kühnlein, Tim Appelhans, Boris Thies et al. · Journal of Applied Meteorology and Climatology · 2014 · 101 citations · Full text

Engineering, Msg Seviri Daytime, Weather Forecasting +18

Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals

Hanna Meyer, Meike Kühnlein, Tim Appelhans · Atmospheric Research · 2015 · 98 citations

Meteorology, Engineering, Machine Learning +8

Rainfall-Rate Assignment Using MSG SEVIRI Data—A Promising Approach to Spaceborne Rainfall-Rate Retrieval for Midlatitudes

Meike Kühnlein, Boris Thies, Thomas Nauß et al. · Journal of Applied Meteorology and Climatology · 2010 · 36 citations

Environmental Monitoring, Engineering, Weather Forecasting +21

An evaluation of a semi-analytical cloud property retrieval using MSG SEVIRI, MODIS and CloudSat

Meike Kühnlein, Tim Appelhans, Boris Thies et al. · Atmospheric Research · 2012 · 13 citations

Data Modeling, Engineering, Information Retrieval +13