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20202026
most citedPhysics-constrained deep learning postprocessing of temperature and humidity

4 citations · 4 across the 2 of their papers we have counts for

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stat.AP2020

Seamless multi-model postprocessing for air temperature forecasts in complex topography

Regula Keller, Jan Rajczak, Jonas Bhend +4

Statistical postprocessing is routinely applied to correct systematic errors of numerical weather prediction models (NWP) and to automatically produce calibrated local forecasts fo…