Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction. (arXiv:2206.11669v3 [physics.ao-ph] UPDATED)

Precipitation governs Earth's hydroclimate, and its daily spatiotemporal
fluctuations have major socioeconomic effects. Advances in Numerical weather
prediction (NWP) have been measured by the improvement of forecasts for various
physical fields such as temperature and pressure; however, large biases exist
in precipitation prediction. We augment the output of the well-known NWP model
CFSv2 with deep learning to create a hybrid model that improves short-range
global precipitation at 1-, 2-, and 3-day lead times. To hybridise, we address
the sphericity of …

arxiv deep learning global numerical physics precipitation prediction weather