Simon Pfreundschuh
Showing 17 publications
The Chalmers Cloud Ice Climatology: Retrieval implementation and validation
Ice water path retrievals from Meteosat-9 using quantile regression neural networks
An improved near-real-Time precipitation retrieval for Brazil
Improving satellite measurements of clouds and precipitation using machine learning
GPROF-NN: a neural-network-based implementation of the Goddard Profiling Algorithm
Can machine learning correct microwave humidity radiances for the influence of clouds?
Study to support the definition of Arctic Weather Satellite (AWS) high frequency channels
Synergistic radar and radiometer retrievals of ice hydrometeors
On the distinctiveness of observed oceanic raindrop distributions
Remote sensing of clouds and precipitation using active and passive microwave observations
An experimental 2D-Var retrieval using AMSR2
A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems
Machine Learning Developments in ROOT
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