Meike Kühnlein

发表

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

Tim Appelhans, Thomas Nauss, Boris Thies, 2014 .

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

Tim Appelhans, Thomas Nauss, Boris Thies, 2013 .

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

Tim Appelhans, Boris Thies, Meike Kühnlein, 2014 .

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

Jörg Bendix, Thomas Nauss, Boris Thies, 2010 .

Revealing the potential of spectral and textural predictor variables in a neural network-based rainfall retrieval technique

Thomas Nauss, Christoph Reudenbach, Hanna Meyer, 2017 .

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

Tim Appelhans, Thomas Nauss, Hanna Meyer, 2015 .

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

T. Appelhans, T. Nauss, H. Meyer, 2016 .