Articles | Volume 28, issue 21
https://doi.org/10.5194/hess-28-4819-2024
https://doi.org/10.5194/hess-28-4819-2024
Research article
 | 
06 Nov 2024
Research article |  | 06 Nov 2024

Mapping soil moisture across the UK: assimilating cosmic-ray neutron sensors, remotely sensed indices, rainfall radar and catchment water balance data in a Bayesian hierarchical model

Peter E. Levy and the COSMOS-UK team

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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-2023-2041', Anonymous Referee #1, 27 Nov 2023
    • AC1: 'Reply on RC1', Peter E. Levy, 08 Feb 2024
  • RC2: 'Comment on egusphere-2023-2041', Anonymous Referee #2, 10 Dec 2023
    • AC2: 'Reply on RC2', Peter E. Levy, 08 Feb 2024

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) (13 Feb 2024) by Gerrit H. de Rooij
AR by Peter E. Levy on behalf of the Authors (26 Jul 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (29 Jul 2024) by Gerrit H. de Rooij
RR by Anonymous Referee #1 (29 Aug 2024)
ED: Publish subject to technical corrections (30 Aug 2024) by Gerrit H. de Rooij
AR by Peter E. Levy on behalf of the Authors (10 Sep 2024)  Manuscript 
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Short summary
Having accurate up-to-date maps of soil moisture is important for many purposes. However, current modelled and remotely sensed maps are rather coarse and not very accurate. Here, we demonstrate a simple but accurate approach that is closely linked to direct measurements of soil moisture at a network sites across the UK, to the water balance (precipitation minus drainage and evaporation) measured at a large number of catchments (1212) and to remotely sensed satellite estimates.