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

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 2,976 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,486 431 59 2,976 66 84
  • HTML: 2,486
  • PDF: 431
  • XML: 59
  • Total: 2,976
  • BibTeX: 66
  • EndNote: 84
Views and downloads (calculated since 07 Sep 2023)
Cumulative views and downloads (calculated since 07 Sep 2023)

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 2,976 (including HTML, PDF, and XML) Thereof 2,928 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Mar 2026
Download
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.
Share