Articles | Volume 28, issue 12
https://doi.org/10.5194/hess-28-2617-2024
https://doi.org/10.5194/hess-28-2617-2024
Research article
 | 
20 Jun 2024
Research article |  | 20 Jun 2024

Soil moisture modeling with ERA5-Land retrievals, topographic indices, and in situ measurements and its use for predicting ruts

Marian Schönauer, Anneli M. Ågren, Klaus Katzensteiner, Florian Hartsch, Paul Arp, Simon Drollinger, and Dirk Jaeger

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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 egusphere-2023-1908', Anonymous Referee #1, 18 Oct 2023
    • AC1: 'Reply on RC1', Marian Schönauer, 27 Oct 2023
    • AC2: 'Reply on RC1', Marian Schönauer, 24 Nov 2023
  • RC2: 'Comment on egusphere-2023-1908', Anonymous Referee #2, 27 Oct 2023
    • AC3: 'Reply on RC2', Marian Schönauer, 24 Nov 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (27 Nov 2023) by Yongping Wei
AR by Marian Schönauer on behalf of the Authors (12 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to revisions (further review by editor and referees) (03 Jan 2024) by Yongping Wei
ED: Referee Nomination & Report Request started (11 Jan 2024) by Yongping Wei
RR by Anonymous Referee #1 (21 Jan 2024)
RR by Anonymous Referee #2 (08 Feb 2024)
ED: Publish subject to revisions (further review by editor and referees) (15 Feb 2024) by Yongping Wei
AR by Marian Schönauer on behalf of the Authors (19 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (25 Mar 2024) by Yongping Wei
RR by Anonymous Referee #2 (03 Apr 2024)
RR by Anonymous Referee #1 (17 Apr 2024)
ED: Publish subject to technical corrections (20 Apr 2024) by Yongping Wei
AR by Marian Schönauer on behalf of the Authors (22 Apr 2024)  Manuscript 
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Short summary
This work employs innovative spatiotemporal modeling to predict soil moisture, with implications for sustainable forest management. By correlating predicted soil moisture with rut depth, it addresses a critical concern of soil damage and ecological impact – and its prevention through adequate planning of forest operations.