A Practical Probabilistic Benchmark for AI Weather Models

A Practical Probabilistic Benchmark for AI Weather Models

Abstract Since the weather is chaotic, it is necessary to forecast an ensemble of future states. Recently, multiple AI weather models have emerged claiming breakthroughs in deterministic skill. Unfortunately, it is hard to fairly compare ensembles of AI forecasts because variations in ensembling met...

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Bibliographic Details
Main Authors: Noah D. Brenowitz, Yair Cohen, Jaideep Pathak, Ankur Mahesh, Boris Bonev, Thorsten Kurth, Dale R. Durran, Peter Harrington, Michael S. Pritchard
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Geophysical Research Letters
Subjects:
artificial intelligence
ensembles
weather forecasts
benchmarks
Online Access:https://doi.org/10.1029/2024GL113656
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Internet

https://doi.org/10.1029/2024GL113656

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