Robust Estimation of Global precipitation using Neural networks (REGN)

Research Project, 2020 – 2023

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Publications

The Chalmers Cloud Ice Climatology: Retrieval implementation and validation

GPROF V7 and beyond: Assessment of current and potential future versions of the GPROF passive microwave precipitation retrievals against ground radar measurements over the continental US and the Pacific Ocean

Retrieving cloud ice masses from geostationary images with neural networks

Ice water path retrievals from Meteosat-9 using quantile regression neural networks

Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and its Implication on IWP Retrievals

Improving satellite measurements of clouds and precipitation using machine learning

GPROF-NN: a neural-network-based implementation of the Goddard Profiling Algorithm

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