1 citations · 1 across the 3 of their papers we have counts for
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Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction
Hannah Guan, Soukayna Mouatadid, Paulo Orenstein +10
Decision-makers rely on weather forecasts to plant crops, manage wildfires, allocate water and energy, and prepare for weather extremes. Today, such forecasts enjoy unprecedented a…
Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction
Zekun Ni, Jonathan Weyn, Hang Zhang +7
Over the past few years, machine learning-based data-driven weather prediction has been transforming operational weather forecasting by providing more accurate forecasts while usin…
Skillful high-resolution weather forecasting independent of physical models
Pengcheng Zhao, Siqi Xiang, Weixin Jin +10
Accurate and timely weather forecasts are critical for high-impact decisions in modern society. Machine-learning-based weather prediction is emerging as an alternative for producin…