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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Mahmoud Mbarak, Manmeet Singh, Naveen Sudharsan, Zong-Liang Yang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IOP Publishing 2026-01-01
Sarja:	Machine Learning. Earth
Aiheet:	extreme events land surface model post-processing soil moisture prediction
Linkit:	https://doi.org/10.1088/3049-4753/ae7115
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