Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction

1 code implementation • 30 Apr 2024 • Jared D. Willard, Peter Harrington, Shashank Subramanian, Ankur Mahesh, Travis A. O'Brien, William D. Collins

The rapid rise of deep learning (DL) in numerical weather prediction (NWP) has led to a proliferation of models which forecast atmospheric variables with comparable or superior skill than traditional physics-based NWP.