Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4305-2025
https://doi.org/10.5194/essd-17-4305-2025
Data description paper
 | 
05 Sep 2025
Data description paper |  | 05 Sep 2025

ESA CCI Soil Moisture GAPFILLED: an independent global gap-free satellite climate data record with uncertainty estimates

Wolfgang Preimesberger, Pietro Stradiotti, and Wouter Dorigo

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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 essd-2024-610', Anonymous Referee #1, 11 Feb 2025
    • AC1: 'Reply on RC1', Wolfgang Preimesberger, 31 Mar 2025
  • RC2: 'Comment on essd-2024-610', Anonymous Referee #2, 03 Mar 2025
    • AC2: 'Reply on RC2', Wolfgang Preimesberger, 31 Mar 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Wolfgang Preimesberger on behalf of the Authors (28 Apr 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (08 May 2025) by Jiafu Mao
RR by Anonymous Referee #1 (12 May 2025)
RR by Anonymous Referee #2 (02 Jun 2025)
ED: Publish as is (05 Jun 2025) by Jiafu Mao
AR by Wolfgang Preimesberger on behalf of the Authors (15 Jun 2025)  Manuscript 
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Short summary
We introduce the official ESA CCI Soil Moisture GAPFILLED climate data record. A univariate interpolation algorithm is applied to predict missing data points without relying on ancillary variables. The dataset includes gap-free uncertainty estimates for all predictions and was validated with independent in situ reference measurements. Our data record is recommended for applications which require global long-term gap-free satellite soil moisture data.
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