Articles | Volume 28, issue 12
https://doi.org/10.5194/hess-28-2617-2024
https://doi.org/10.5194/hess-28-2617-2024
Research article
 | 
20 Jun 2024
Research article |  | 20 Jun 2024

Soil moisture modeling with ERA5-Land retrievals, topographic indices, and in situ measurements and its use for predicting ruts

Marian Schönauer, Anneli M. Ågren, Klaus Katzensteiner, Florian Hartsch, Paul Arp, Simon Drollinger, and Dirk Jaeger

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Short summary
This work employs innovative spatiotemporal modeling to predict soil moisture, with implications for sustainable forest management. By correlating predicted soil moisture with rut depth, it addresses a critical concern of soil damage and ecological impact – and its prevention through adequate planning of forest operations.