Earth System Model Tuning Without Hyperparameters
Abstract This article introduces a new algorithm, KalmRidge, and demonstrates its ability to tune an Earth system model using idealized experiments. Unlike similar algorithms, KalmRidge eliminates the need for offline hyperparameter selection, thereby substantially reducing computational expense. Th...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2025-07-01
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Series: | Journal of Advances in Modeling Earth Systems |
Subjects: | |
Online Access: | https://doi.org/10.1029/2024MS004607 |
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