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Nat. Hazards Earth Syst. Sci., 17, 2301-2312, 2017
https://doi.org/10.5194/nhess-17-2301-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
13 Dec 2017
Real-time prediction of rain-triggered lahars: incorporating seasonality and catchment recovery
Robbie Jones et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'comments to the manuscript', Lucia Capra, 16 Jun 2017 Printer-friendly Version 
AC1: 'Response to RC1', Robbie Jones, 29 Aug 2017 Printer-friendly Version 
 
RC2: 'Referee comments', Thomas Pierson, 04 Jul 2017 Printer-friendly Version 
AC2: 'Response to RC2', Robbie Jones, 29 Aug 2017 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by Editor) (07 Sep 2017) by Thomas Glade  
AR by Robbie Jones on behalf of the Authors (16 Sep 2017)  Author's response  Manuscript
ED: Publish as is (21 Oct 2017) by Thomas Glade  
CC BY 4.0
Publications Copernicus
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Short summary
Rain-triggered lahars are significant secondary hazards at volcanoes where pyroclastic material is exposed to rainfall. Lahar risk mitigation typically relies upon ground-based flow detection or observation; however this study uses rainfall data and instrumental lahar records from the Belham valley, Montserrat, to devise new rain-triggered lahar prediction tools. These tools demonstrate the potential to effectively forecast lahars in real time, even in areas featuring strongly seasonal climates.
Rain-triggered lahars are significant secondary hazards at volcanoes where pyroclastic material...
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