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
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.