Articles | Volume 30, issue 21
https://doi.org/10.5194/hess-30-6927-2026
https://doi.org/10.5194/hess-30-6927-2026
Research article
 | 
10 Nov 2026
Research article |  | 10 Nov 2026

Evaluation of sub-daily precipitation variability and its diurnal characteristics in satellite and reanalysis datasets against ground-based observations

Gyuyeon Choi, Eunkyo Seo, and Paul A. Dirmeyer

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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-2026-2867', Anonymous Referee #1, 19 Jun 2026
  • RC2: 'Comment on egusphere-2026-2867', Anonymous Referee #2, 01 Aug 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Submit a revised manuscript (11 Sep 2026) by Francesco Marra
AR by Eunkyo Seo on behalf of the Authors (12 Sep 2026)  Author's tracked changes   Manuscript 
EF by Polina Shvedko (15 Sep 2026)  Manuscript   Author's tracked changes 
EF by Polina Shvedko (15 Sep 2026)  Author's response 
EF by Polina Shvedko (15 Sep 2026)  Author's response 
EF by Polina Shvedko (15 Sep 2026)  Author's response 
ED: Referee Nomination & Report Request started (15 Sep 2026) by Francesco Marra
RR by Anonymous Referee #1 (13 Oct 2026)
RR by Anonymous Referee #2 (21 Oct 2026)
ED: Publish subject to minor revisions (review by editor) (21 Oct 2026) by Francesco Marra
AR by Eunkyo Seo on behalf of the Authors (24 Oct 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (26 Oct 2026) by Francesco Marra
AR by Eunkyo Seo on behalf of the Authors (26 Oct 2026)  Manuscript 
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Short summary
This study evaluates five satellite and four reanalysis products against 6,824 ground-based observations for diurnal cycle fidelity. Satellites show a 1–2 hour phase delay due to upper-level ice detection, while reanalyses peak 3–6 hours early from premature convective onset. These contrasting performances are linked to specific design choices in retrieval algorithms and convective parameterization, offering physically grounded guidance for dataset selection in hydrological and climate studies.
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