Articles | Volume 26, issue 9
Hydrol. Earth Syst. Sci., 26, 2481–2497, 2022
https://doi.org/10.5194/hess-26-2481-2022
Hydrol. Earth Syst. Sci., 26, 2481–2497, 2022
https://doi.org/10.5194/hess-26-2481-2022
Research article
12 May 2022
Research article | 12 May 2022

High-resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River basin as a case study

Paolo Filippucci et al.

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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-2021-563', Anonymous Referee #1, 11 Dec 2021
    • AC1: 'Reply on RC1', Paolo Filippucci, 22 Dec 2021
  • RC2: 'Comment on hess-2021-563', Anonymous Referee #2, 04 Jan 2022
    • AC2: 'Reply on RC2', Paolo Filippucci, 02 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (06 Feb 2022) by Rohini Kumar
AR by Paolo Filippucci on behalf of the Authors (07 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (08 Feb 2022) by Rohini Kumar
RR by Anonymous Referee #1 (17 Feb 2022)
RR by Anonymous Referee #2 (23 Mar 2022)
ED: Publish subject to revisions (further review by editor and referees) (23 Mar 2022) by Rohini Kumar
AR by Paolo Filippucci on behalf of the Authors (01 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (03 Apr 2022) by Rohini Kumar
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Short summary
A high-resolution (1 km) rainfall product with 10–30 d temporal resolution was obtained starting from SM data from Sentinel-1. Good performances are achieved using observed data (gauge and radar) over the Po River Valley, Italy, as a benchmark. The comparison with a product characterized by lower spatial resolution (25 km) highlights areas where the high spatial resolution of Sentinel-1 has great benefits. Possible applications include water management, agriculture and index-based insurances.