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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Interactive discussion

Status: closed

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

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (26 Apr 2024) by Nunzio Romano
AR by Ivan Vorobevskii on behalf of the Authors (27 May 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 May 2024) by Nunzio Romano
RR by Anonymous Referee #2 (10 Jun 2024)
RR by Anonymous Referee #1 (20 Jun 2024)
ED: Publish as is (21 Jun 2024) by Nunzio Romano
AR by Ivan Vorobevskii on behalf of the Authors (22 Jun 2024)
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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.