On Using AI‐Based Large‐Sample Emulators for Land/Hydrology Model Calibration and Regionalization
Abstract AI‐based model emulators have emerged as a pragmatic strategy for calibrating Earth System models or their components (e.g., land, atmosphere, ocean), circumventing the previously insurmountable hurdle of the process‐heavy models' computational expense. Such emulators require large, sp...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-07-01
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| Series: | Water Resources Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024WR039525 |
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