A physics inspired two-step approach for generative machine learning model that performs stochastic downscaling, trained on three years of weather model data for Taiwan, is able to efficiently reproduce the physics of weather phenomena such as the collocation of rain with surface temperature and winds.
- Morteza Mardani
- Noah Brenowitz
- Mike Pritchard
