Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 15
Articles | Volume 28, issue 15
https://doi.org/10.5194/hess-28-3567-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-3567-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 15
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: 1,178 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
888 231 59 1,178 36 37
  • HTML: 888
  • PDF: 231
  • XML: 59
  • Total: 1,178
  • BibTeX: 36
  • EndNote: 37
Views and downloads (calculated since 08 Jan 2024)
Cumulative views and downloads (calculated since 08 Jan 2024)

Viewed (geographical distribution)

Total article views: 1,178 (including HTML, PDF, and XML) Thereof 1,144 with geography defined and 34 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2024
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.
Read more