nasa-impact/

WxC-Bench

WxC-Bench primary goal is to provide a standardized benchmark for evaluating the performance of AI models in Atmospheric and Earth Sciences across various tasks.

WxC-Bench contains datasets for six key tasks:

Nonlocal Parameterization of Gravity Wave Momentum Flux Prediction of Aviation Turbulence Identifying Weather Analogs Generation of Natural Language Weather Forecasts Long-Term Precipitation Forecasting Hurricane Track and… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/WxC-Bench.