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

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

doi:https://doi.org/10.5194/hess-28-3567-2024

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

Data sets

The Soil Moisture Traffic Light - web platform I. Vorobevskii https://life.hydro.tu-dresden.de/BoFeAm/dist_bfa_kk/index.html

The Soil Moisture Traffic Light - raw data outputs I. Vorobevskii https://life.hydro.tu-dresden.de/bfa_out/

Supplement materials for publication: High-resolution operational soil moisture monitoring for forests in the Middle Germany I. Vorobevskii https://doi.org/10.4211/hs.2418c392ccd3466b80b9191baa95d744

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.