Articles | Volume 29, issue 2
https://doi.org/10.5194/hess-29-547-2025
https://doi.org/10.5194/hess-29-547-2025
Research article
 | 
29 Jan 2025
Research article |  | 29 Jan 2025

Do land models miss key soil hydrological processes controlling soil moisture memory?

Mohammad A. Farmani, Ali Behrangi, Aniket Gupta, Ahmad Tavakoly, Matthew Geheran, and Guo-Yue Niu

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Short summary
Soil moisture memory (SMM) shows how long soil stays moist after rain, impacting climate and ecosystems. Current models often overestimate SMM, causing inaccuracies in evaporation predictions. We enhanced a land model, Noah-MP, to include better water flow and ponding processes, and we tested it against satellite and field data. This improved model reduced overestimations and enhanced short-term predictions, helping create more accurate climate and weather forecasts.
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