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

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

doi:https://doi.org/10.5194/hess-28-2617-2024

Articles | Volume 28, issue 12

https://doi.org/10.5194/hess-28-2617-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-28-2617-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 28, issue 12

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

Data sets

Data: Soil moisture modeling with ERA5-Land retrievals, topographic indices, and in situ measurements and its use for predicting ruts Marian Schönauer https://doi.org/10.5281/zenodo.11032138

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.