Preprints
https://doi.org/10.5194/hess-2023-303
https://doi.org/10.5194/hess-2023-303
08 Jan 2024
 | 08 Jan 2024
Status: a revised version of 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.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Ivan Vorobevskii, Thi Thanh Luong, Rico Kronenberg, and Rainer Petzold

Status: final response (author comments only)

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
    • AC2: 'Reply on RC1', Ivan Vorobevskii, 15 Apr 2024
  • CC1: 'Comment on hess-2023-303', Friedrich Boeing, 15 Feb 2024
    • AC1: 'Reply on CC1', Ivan Vorobevskii, 15 Apr 2024
  • RC2: 'Comment on hess-2023-303', Anonymous Referee #2, 27 Mar 2024
    • AC3: 'Reply on RC2', Ivan Vorobevskii, 15 Apr 2024
Ivan Vorobevskii, Thi Thanh Luong, Rico Kronenberg, and Rainer Petzold
Ivan Vorobevskii, Thi Thanh Luong, Rico Kronenberg, and Rainer Petzold

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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.