Articles | Volume 18, issue 11
https://doi.org/10.5194/nhess-18-2991-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-2991-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Nov 2018
Research article |
| 12 Nov 2018
| 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
CORRESPONDING AUTHOR
Department of Meteorology, University of Reading, Reading, UK
Helen F. Dacre
Department of Meteorology, University of Reading, Reading, UK
Len C. Shaffrey
NCAS, Department of Meteorology, University of Reading, Reading, UK
Kevin I. Hodges
Department of Meteorology, University of Reading, Reading, UK
NCAS, Department of Meteorology, University of Reading, Reading, UK
Joaquim G. Pinto
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
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Cited
26 citations as recorded by crossref.
- Synoptic conditions conducive for compound wind-flood events in Great Britain in present and future climates H. Bloomfield et al. 10.1088/1748-9326/ad1cb7
- Changing windstorm characteristics over the US Northeast in a single model large ensemble J. Coburn et al. 10.1088/1748-9326/ad801b
- Evaluation of the capability of regional climate models in reproducing the temporal clustering in heavy precipitation over Europe Z. Yang et al. 10.1016/j.atmosres.2022.106027
- Projections and uncertainties of winter windstorm damage in Europe in a changing climate L. Severino et al. 10.5194/nhess-24-1555-2024
- A climatology of sub-seasonal temporal clustering of extreme precipitation in Switzerland and its links to extreme discharge A. Tuel & O. Martius 10.5194/nhess-21-2949-2021
- Assessing target areas for precipitating moisture source analysis of extratropical cyclones: An analysis based on case studies P. Coll-Hidalgo et al. 10.1016/j.atmosres.2024.107628
- Future increased risk from extratropical windstorms in northern Europe A. Little et al. 10.1038/s41467-023-40102-6
- Guidelines for Studying Diverse Types of Compound Weather and Climate Events E. Bevacqua et al. 10.1029/2021EF002340
- Invited perspectives: An insurer's perspective on the knowns and unknowns in natural hazard risk modelling M. Déroche 10.5194/nhess-23-251-2023
- Process‐Based Flood Risk Assessment for Germany N. Sairam et al. 10.1029/2021EF002259
- Co-occurring wintertime flooding and extreme wind over Europe, from daily to seasonal timescales B. H.C. et al. 10.1016/j.wace.2023.100550
- Forced trends and internal variability in climate change projections of extreme European windstorm frequency and severity M. Priestley et al. 10.1002/qj.4849
- A novel method to identify sub-seasonal clustering episodes of extreme precipitation events and their contributions to large accumulation periods J. Kopp et al. 10.5194/hess-25-5153-2021
- Empirical evaluation of windstorm losses and meteorological variables over the Netherlands M. Fonseca Cerda et al. 10.1007/s11069-024-07024-y
- From Atmospheric Dynamics to Insurance Losses: An Interdisciplinary Workshop on European Storms J. Pinto et al. 10.1175/BAMS-D-19-0026.1
- An Overview of the Extratropical Storm Tracks in CMIP6 Historical Simulations M. Priestley et al. 10.1175/JCLI-D-19-0928.1
- Projected increase in windstorm severity and contribution from sting jets over the UK and Ireland C. Manning et al. 10.1016/j.wace.2023.100562
- Using high-resolution global climate models from the PRIMAVERA project to create a European winter windstorm event set J. Lockwood et al. 10.5194/nhess-22-3585-2022
- Insurance loss model vs. meteorological loss index – how comparable are their loss estimates for European windstorms? J. Moemken et al. 10.5194/nhess-24-3445-2024
- Projection of Compound Wind and Precipitation Extreme Events in the Iberian Peninsula Based on CMIP6 I. Alvarez et al. 10.1007/s41748-024-00429-6
- Income and extratropical cyclones in New Zealand A. Roy et al. 10.1016/j.jenvman.2022.114852
- Extreme weather events on energy systems: a comprehensive review on impacts, mitigation, and adaptation measures A. Gonçalves et al. 10.1186/s40807-023-00097-6
- Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán A. Charlton-Perez et al. 10.1038/s41612-024-00638-w
- Serial clustering of extratropical cyclones: a review of where, when and why it occurs H. Dacre & J. Pinto 10.1038/s41612-020-00152-9
- A long record of European windstorm losses and its comparison to standard climate indices S. Cusack 10.5194/nhess-23-2841-2023
- The Future of Midlatitude Cyclones J. Catto et al. 10.1007/s40641-019-00149-4
26 citations as recorded by crossref.
- Synoptic conditions conducive for compound wind-flood events in Great Britain in present and future climates H. Bloomfield et al. 10.1088/1748-9326/ad1cb7
- Changing windstorm characteristics over the US Northeast in a single model large ensemble J. Coburn et al. 10.1088/1748-9326/ad801b
- Evaluation of the capability of regional climate models in reproducing the temporal clustering in heavy precipitation over Europe Z. Yang et al. 10.1016/j.atmosres.2022.106027
- Projections and uncertainties of winter windstorm damage in Europe in a changing climate L. Severino et al. 10.5194/nhess-24-1555-2024
- A climatology of sub-seasonal temporal clustering of extreme precipitation in Switzerland and its links to extreme discharge A. Tuel & O. Martius 10.5194/nhess-21-2949-2021
- Assessing target areas for precipitating moisture source analysis of extratropical cyclones: An analysis based on case studies P. Coll-Hidalgo et al. 10.1016/j.atmosres.2024.107628
- Future increased risk from extratropical windstorms in northern Europe A. Little et al. 10.1038/s41467-023-40102-6
- Guidelines for Studying Diverse Types of Compound Weather and Climate Events E. Bevacqua et al. 10.1029/2021EF002340
- Invited perspectives: An insurer's perspective on the knowns and unknowns in natural hazard risk modelling M. Déroche 10.5194/nhess-23-251-2023
- Process‐Based Flood Risk Assessment for Germany N. Sairam et al. 10.1029/2021EF002259
- Co-occurring wintertime flooding and extreme wind over Europe, from daily to seasonal timescales B. H.C. et al. 10.1016/j.wace.2023.100550
- Forced trends and internal variability in climate change projections of extreme European windstorm frequency and severity M. Priestley et al. 10.1002/qj.4849
- A novel method to identify sub-seasonal clustering episodes of extreme precipitation events and their contributions to large accumulation periods J. Kopp et al. 10.5194/hess-25-5153-2021
- Empirical evaluation of windstorm losses and meteorological variables over the Netherlands M. Fonseca Cerda et al. 10.1007/s11069-024-07024-y
- From Atmospheric Dynamics to Insurance Losses: An Interdisciplinary Workshop on European Storms J. Pinto et al. 10.1175/BAMS-D-19-0026.1
- An Overview of the Extratropical Storm Tracks in CMIP6 Historical Simulations M. Priestley et al. 10.1175/JCLI-D-19-0928.1
- Projected increase in windstorm severity and contribution from sting jets over the UK and Ireland C. Manning et al. 10.1016/j.wace.2023.100562
- Using high-resolution global climate models from the PRIMAVERA project to create a European winter windstorm event set J. Lockwood et al. 10.5194/nhess-22-3585-2022
- Insurance loss model vs. meteorological loss index – how comparable are their loss estimates for European windstorms? J. Moemken et al. 10.5194/nhess-24-3445-2024
- Projection of Compound Wind and Precipitation Extreme Events in the Iberian Peninsula Based on CMIP6 I. Alvarez et al. 10.1007/s41748-024-00429-6
- Income and extratropical cyclones in New Zealand A. Roy et al. 10.1016/j.jenvman.2022.114852
- Extreme weather events on energy systems: a comprehensive review on impacts, mitigation, and adaptation measures A. Gonçalves et al. 10.1186/s40807-023-00097-6
- Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán A. Charlton-Perez et al. 10.1038/s41612-024-00638-w
- Serial clustering of extratropical cyclones: a review of where, when and why it occurs H. Dacre & J. Pinto 10.1038/s41612-020-00152-9
- A long record of European windstorm losses and its comparison to standard climate indices S. Cusack 10.5194/nhess-23-2841-2023
- The Future of Midlatitude Cyclones J. Catto et al. 10.1007/s40641-019-00149-4
Latest update: 14 Dec 2024
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.
This study investigates the role of the clustering of extratropical cyclones in driving...
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