A deep learning bias-correction layer for land surface models: application to soil moisture during drought and hurricane events
Accurate soil moisture prediction during extreme events remains a challenge for Earth system modeling, with significant implications for drought monitoring, flood forecasting, and climate adaptation strategies. Although land surface models (LSMs) provide physics-based predictions, their parameteriza...
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| Principais autores: | , , , |
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| 格式: | Artigo |
| 语言: | Inglês |
| 出版: |
IOP Publishing
2026-01-01
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| 丛编: | Machine Learning. Earth |
| 主题: | |
| 在线阅读: | https://doi.org/10.1088/3049-4753/ae7115 |
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