Articles | Volume 28, issue 15
https://doi.org/10.5194/hess-28-3567-2024
https://doi.org/10.5194/hess-28-3567-2024
Research article
 | 
07 Aug 2024
Research article |  | 07 Aug 2024

High-resolution operational soil moisture monitoring for forests in central Germany

Ivan Vorobevskii, Thi Thanh Luong, Rico Kronenberg, and Rainer Petzold

Viewed

Total article views: 2,713 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,989 640 84 2,713 85 100
  • HTML: 1,989
  • PDF: 640
  • XML: 84
  • Total: 2,713
  • BibTeX: 85
  • EndNote: 100
Views and downloads (calculated since 08 Jan 2024)
Cumulative views and downloads (calculated since 08 Jan 2024)

Viewed (geographical distribution)

Total article views: 2,713 (including HTML, PDF, and XML) Thereof 2,628 with geography defined and 85 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jan 2026
Download
Short summary
An introduced high-resolution soil moisture monitoring framework combines a 1D water balance model, real-time meteorological data, and a national soil database to present point-based operational data with a user-friendly web platform. Its significance lies in the improvement of forest management by making informed, local-scale decisions crucial for mitigating climate change impacts. In the paper, we present a technical description and validation of the framework and showcase its features.
Share