Articles | Volume 26, issue 13
Research article
13 Jul 2022
Research article |  | 13 Jul 2022

Characterizing natural variability in complex hydrological systems using passive microwave-based climate data records: a case study for the Okavango Delta

Robin van der Schalie, Mendy van der Vliet, Clément Albergel, Wouter Dorigo, Piotr Wolski, and Richard de Jeu


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-637', Anonymous Referee #1, 15 Feb 2022
    • AC1: 'Reply on RC1', Robin van der Schalie, 14 Apr 2022
  • RC2: 'Comment on hess-2021-637', Anonymous Referee #2, 24 Mar 2022
    • AC2: 'Reply on RC2', Robin van der Schalie, 14 Apr 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) (14 Apr 2022) by Tim van Emmerik
AR by Robin van der Schalie on behalf of the Authors (22 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (25 May 2022) by Tim van Emmerik
RR by Victor Pellet (16 Jun 2022)
ED: Publish subject to technical corrections (16 Jun 2022) by Tim van Emmerik
AR by Robin van der Schalie on behalf of the Authors (23 Jun 2022)  Author's response    Manuscript
Short summary
Climate data records of surface soil moisture, vegetation optical depth, and land surface temperature can be derived from passive microwave observations. The ability of these datasets to properly detect anomalies and extremes is very valuable in climate research and can especially help to improve our insight in complex regions where the current climate reanalysis datasets reach their limitations. Here, we present a case study over the Okavango Delta, where we focus on inter-annual variability.