High-resolution Probabilistic Precipitation Prediction for use in Climate Simulations

no code implementations • 17 Dec 2020 • Sherman Lo, Peter Watson, Peter Dueben, Ritabrata Dutta

Here, we develop a method to make probabilistic precipitation predictions based on features that climate models can resolve well and that is not highly sensitive to the approximations used in individual models.

Computation Applications

TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall

1 code implementation • 20 Aug 2020 • Rilwan Adewoyin, Peter Dueben, Peter Watson, Yulan He, Ritabrata Dutta

Experiments show that our model consistently attains lower RMSE and MAE scores than a DL model prevalent in short term precipitation prediction and improves upon the rainfall predictions of a state-of-the-art dynamical weather model.