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.
High-resolution operational soil moisture monitoring for forests in central Germany
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- Final revised paper (published on 07 Aug 2024)
- Preprint (discussion started on 08 Jan 2024)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on hess-2023-303', Anonymous Referee #1, 29 Jan 2024
- AC2: 'Reply on RC1', Ivan Vorobevskii, 15 Apr 2024
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CC1: 'Comment on hess-2023-303', Friedrich Boeing, 15 Feb 2024
- AC1: 'Reply on CC1', Ivan Vorobevskii, 15 Apr 2024
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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)
OVERVIEW
The paper describes the development of an operational modelling system for soil moisture monitoring in the forests of the Middle Germany. The modelling system is described, along with some results and preliminary findings.
GENERAL COMMENTS
The paper is fairly well written and clear, the topic might be relevant to HESS readership, but I believe that a more scientifically sound investigation should be carried out. I have listed below the general comments, with the indication of their relevance, that I believe should be carefully addressed.
In the sequel, a number of specific comments to be addressed is reported, but not a comprehensive list.
SPECIFIC COMMENTS (L: line or lines)
L71: “with an operational climate data”. It’s not climate, but meteorological data. To be corrected throughout the paper.
L92: The size of the investigated area should be specified.
Figure 1 caption: Specify acronyms.
L128: What is the “REST-API access”?
L135-136: The sentence is unclear, and it should be revised.
L140: What does LWF stand for? Check all acronyms.
L188: Why are some stations filtered? What do the authors mean with “filtered”?
L190: Which criteria should be matched?
L191-193: The sentence is unclear, and it should be revised.
L201: It’s not clear for which period the soil moisture data are simulated from the system. Here it reads 5 months, later in the text 30-year period. It must be clarified.
L08-209: Approximate distance for rain gauge equal to 5 km, more than 10 km for other meteo data. The actual resolution of the simulated soil moisture cannot be less than 5 km.
L226-227: It’s unclear if NA values are present or not in the data. Please revise the sentence.
L233-235: The sentence is unclear, and it should be revised.
L270: I don’t agree that raster-based simulations do not account for local conditions, it depends on the grid size. Please revise (see the first general comment).
L273-274: I don’t believe the two examples “illustrate the advantage of the point-based framework”. This part should be revised.
L335: What is the time period of the long-term simulations?
RECOMMENDATION
Based on the above comments, I suggest the paper needs a major revision before its potential publication.