Recommendations for Comprehensive and Independent Evaluation of Machine Learning‐Based Earth System Models

Recommendations for Comprehensive and Independent Evaluation of Machine Learning‐Based Earth System Models

Abstract Machine learning (ML) is a revolutionary technology with demonstrable applications across multiple disciplines. Within the Earth science community, ML has been most visible for weather forecasting, producing forecasts that rival modern physics‐based models. Given the importance of deepening...

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Bibliographic Details
Main Authors: P. A. Ullrich, E. A. Barnes, W. D. Collins, K. Dagon, S. Duan, J. Elms, J. Lee, L. R. Leung, D. Lu, M. J. Molina, T. A. O’Brien, F. O. Rebassoo
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Journal of Geophysical Research: Machine Learning and Computation
Subjects:
machine learning
Earth system models
evaluation
idealized tests
model credibility
testing
Online Access:https://doi.org/10.1029/2024JH000496
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