Articles | Volume 18, issue 11
https://doi.org/10.5194/nhess-18-2991-2018
https://doi.org/10.5194/nhess-18-2991-2018
Research article
 | 
12 Nov 2018
Research article |  | 12 Nov 2018

The role of serial European windstorm clustering for extreme seasonal losses as determined from multi-centennial simulations of high-resolution global climate model data

Matthew D. K. Priestley, Helen F. Dacre, Len C. Shaffrey, Kevin I. Hodges, and Joaquim G. Pinto

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (03 Oct 2018) by Ricardo Trigo
AR by Matthew Priestley on behalf of the Authors (04 Oct 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (09 Oct 2018) by Ricardo Trigo
RR by Anonymous Referee #2 (20 Oct 2018)
ED: Publish as is (26 Oct 2018) by Ricardo Trigo
AR by Matthew Priestley on behalf of the Authors (29 Oct 2018)
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Short summary
This study investigates the role of the clustering of extratropical cyclones in driving wintertime wind losses across a large European region. To do this over 900 years of climate model data have been used and analysed. The main conclusion of this work is that cyclone clustering acts to increase wind-driven losses in the winter by 10 %–20 % when compared to the losses from a random series of cyclones, with this specifically being for the higher loss years.
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