Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction. (arXiv:2206.15241v2 [cs.LG] UPDATED)

Precipitation forecasting is an important scientific challenge that has
wide-reaching impacts on society. Historically, this challenge has been tackled
using numerical weather prediction (NWP) models, grounded on physics-based
simulations. Recently, many works have proposed an alternative approach, using
end-to-end deep learning (DL) models to replace physics-based NWP models. While
these DL methods show improved performance and computational efficiency, they
exhibit limitations in long-term forecasting and lack the explainability. In
this work, we present a hybrid NWP-DL workflow to fill the …

arxiv benchmark dataset forecasting lg numerical precipitation prediction processing weather