Preprints
https://doi.org/10.5194/hess-2023-303
https://doi.org/10.5194/hess-2023-303
08 Jan 2024
 | 08 Jan 2024
Status: this preprint is currently under review for the journal HESS.

High-resolution operational soil moisture monitoring for forests in the Middle Germany

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

Abstract. The forests of Central Germany (Saxony, Saxony-Anhalt, and Thuringia) are vital components of the local ecosystems, economy, and recreation. However, in recent years, these forests have faced significant challenges due to prolonged climate-change-induced droughts, causing water shortages, tree stress, and pest outbreaks. One of the key components of the forests’ vitality and productivity is the availability of soil moisture. Given the anticipated increase of frequency and severity of droughts events, there is a growing demand for accurate and real-time soil moisture information. This underscores the need for development of an appropriate monitoring tool to make forest management strategies more effective.

The article introduces an operational high-resolution soil moisture monitoring framework for the forests in Middle Germany, which addresses the main limitations and problems of the existing monitoring systems. The key components of this system include advanced LWF-BROOK90 1D water balance model, large database of National Federal Forest Inventory, real-time climate data from German Weather Service, and web information platform for the results presentation with daily updates. This system empowers forest managers and other decision-makers to take targeted, local measures for sustainable forest management, aiding in both drought mitigation and long-term forest health in the face of climate change.

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

Status: open (until 28 Mar 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2023-303', Anonymous Referee #1, 29 Jan 2024 reply
  • CC1: 'Comment on hess-2023-303', Friedrich Boeing, 15 Feb 2024 reply
Ivan Vorobevskii, Thi Thanh Luong, Rico Kronenberg, and Rainer Petzold
Ivan Vorobevskii, Thi Thanh Luong, Rico Kronenberg, and Rainer Petzold

Viewed

Total article views: 281 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
222 49 10 281 4 3
  • HTML: 222
  • PDF: 49
  • XML: 10
  • Total: 281
  • BibTeX: 4
  • EndNote: 3
Views and downloads (calculated since 08 Jan 2024)
Cumulative views and downloads (calculated since 08 Jan 2024)

Viewed (geographical distribution)

Total article views: 269 (including HTML, PDF, and XML) Thereof 269 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Feb 2024
Download
Short summary
Introduced high-resolution soil moisture monitoring framework combines 1D water balance model, real-time meteorological data, and the national soil database to present point-based operational data using a user-friendly web-platform. Its significance lies in improvement of forest management by making informed, local-scale decisions, crucial for mitigating climate change impacts. In the paper, we presented technical description of the framework and showcased its features.