Articles | Volume 26, issue 13
https://doi.org/10.5194/hess-26-3337-2022
https://doi.org/10.5194/hess-26-3337-2022
Research article
 | 
04 Jul 2022
Research article |  | 04 Jul 2022

Exploring the combined use of SMAP and Sentinel-1 data for downscaling soil moisture beyond the 1 km scale

Rena Meyer, Wenmin Zhang, Søren Julsgaard Kragh, Mie Andreasen, Karsten Høgh Jensen, Rasmus Fensholt, Simon Stisen, and Majken C. Looms

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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-2021-508', Anonymous Referee #1, 18 Nov 2021
    • AC1: 'Reply on RC1', Rena Meyer, 20 Jan 2022
  • RC2: 'Comment on hess-2021-508', Anonymous Referee #2, 06 Dec 2021
    • AC2: 'Reply on RC2', Rena Meyer, 20 Jan 2022

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) (03 Feb 2022) by Alexander Gruber
AR by Rena Meyer on behalf of the Authors (01 Apr 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (19 Apr 2022) by Alexander Gruber
RR by Anonymous Referee #2 (10 May 2022)
RR by Anonymous Referee #1 (14 May 2022)
ED: Publish subject to technical corrections (18 May 2022) by Alexander Gruber
AR by Rena Meyer on behalf of the Authors (26 May 2022)  Author's response   Manuscript 
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Short summary
The amount and spatio-temporal distribution of soil moisture, the water in the upper soil, is of great relevance for agriculture and water management. Here, we investigate whether the established downscaling algorithm combining different satellite products to estimate medium-scale soil moisture is applicable to higher resolutions and whether results can be improved by accounting for land cover types. Original satellite data and downscaled soil moisture are compared with ground observations.