Articles | Volume 22, issue 4
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

European Soil Database v2.0 (vector and attribute data) ESDAC

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.
Final-revised paper