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

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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.
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