Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-461-2022
https://doi.org/10.5194/nhess-22-461-2022
Research article
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16 Feb 2022
Research article | Highlight paper |  | 16 Feb 2022

Flash flood warnings in context: combining local knowledge and large-scale hydro-meteorological patterns

Agathe Bucherie, Micha Werner, Marc van den Homberg, and Simon Tembo

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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 nhess-2021-107', Anonymous Referee #1, 27 May 2021
    • AC1: 'Reply on RC1', Agathe Bucherie, 24 Aug 2021
  • RC2: 'Comment on nhess-2021-107', Anonymous Referee #2, 14 Jul 2021
    • AC2: 'Reply on RC2', Agathe Bucherie, 24 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (25 Sep 2021) by Maria-Carmen Llasat
AR by Agathe Bucherie on behalf of the Authors (08 Oct 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (11 Oct 2021) by Maria-Carmen Llasat
RR by Anonymous Referee #2 (01 Nov 2021)
ED: Publish as is (18 Dec 2021) by Maria-Carmen Llasat
AR by Agathe Bucherie on behalf of the Authors (19 Jan 2022)
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Short summary
Local communities in northern Malawi have well-developed knowledge of the conditions leading to flash floods, spatially and temporally. Scientific analysis of catchment geomorphology and global reanalysis datasets corroborates this local knowledge, underlining the potential of these large-scale scientific datasets. Combining local knowledge with contemporary scientific datasets provides a common understanding of flash flood events, contributing to a more people-centred warning to flash floods.
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