Articles | Volume 22, issue 4
Nat. Hazards Earth Syst. Sci., 22, 1325–1334, 2022
https://doi.org/10.5194/nhess-22-1325-2022

Special issue: Hydrological cycle in the Mediterranean (ACP/AMT/GMD/HESS/NHESS/OS...

Nat. Hazards Earth Syst. Sci., 22, 1325–1334, 2022
https://doi.org/10.5194/nhess-22-1325-2022
Research article
12 Apr 2022
Research article | 12 Apr 2022

Estimating soil moisture conditions for drought monitoring with random forests and a simple soil moisture accounting scheme

Yves Tramblay and Pere Quintana Seguí

Data sets

SAFRAN analysis over Spain P. Quintana Seguí https://doi.org/10.14768/MISTRALS-HYMEX.1388

European Soil Database v2.0 (vector and attribute data) ESDAC https://esdac.jrc.ec.europa.eu/content/european-soil-database-v20-vector-and-attribute-data

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Short summary
Monitoring soil moisture is important during droughts, but very few measurements are available. Consequently, land-surface models are essential tools for reproducing soil moisture dynamics. In this study, a hybrid approach allowed for regionalizing soil water content using a machine learning method. This approach proved to be efficient, compared to the use of soil property maps, to run a simple soil moisture accounting model, and therefore it can be applied in various regions.
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