Articles | Volume 23, issue 4
https://doi.org/10.5194/nhess-23-1465-2023
© Author(s) 2023. 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-23-1465-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Rescuing historical weather observations improves quantification of severe windstorm risks
National Centre for Atmospheric Science, Department of Meteorology,
University of Reading, Reading, UK
Philip Brohan
Met Office Hadley Centre, Exeter, UK
Samantha N. Burgess
Copernicus Climate Change Service, ECMWF, Reading, UK
Stephen Burt
National Centre for Atmospheric Science, Department of Meteorology,
University of Reading, Reading, UK
Gilbert P. Compo
Cooperative Institute for Research in Environmental Sciences,
University of Colorado at Boulder, Boulder, USA
NOAA Physical Sciences Laboratory, Boulder, USA
Suzanne L. Gray
Department of Meteorology, University of Reading, Reading, UK
Ivan D. Haigh
School of Ocean and Earth Science, National Oceanography Centre,
University of Southampton, Southampton, UK
Hans Hersbach
Copernicus Climate Change Service, ECMWF, Reading, UK
Kiki Kuijjer
School of Ocean and Earth Science, National Oceanography Centre,
University of Southampton, Southampton, UK
Oscar Martínez-Alvarado
National Centre for Atmospheric Science, Department of Meteorology,
University of Reading, Reading, UK
Department of Meteorology, University of Reading, Reading, UK
Chesley McColl
Cooperative Institute for Research in Environmental Sciences,
University of Colorado at Boulder, Boulder, USA
NOAA Physical Sciences Laboratory, Boulder, USA
Andrew P. Schurer
School of Geosciences, University of Edinburgh, Edinburgh, UK
Laura Slivinski
Cooperative Institute for Research in Environmental Sciences,
University of Colorado at Boulder, Boulder, USA
NOAA Physical Sciences Laboratory, Boulder, USA
Joanne Williams
National Oceanography Centre, Liverpool, UK
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Cited
7 citations as recorded by crossref.
- Using analogues to predict changes in future UK heatwaves* E. Yule et al. 10.1088/2752-5295/ad57e3
- Investigation of historical severe storms and storm tides in the German Bight with century reanalysis data E. Meyer & L. Gaslikova 10.5194/nhess-24-481-2024
- ESD Ideas: Translating historical extreme weather events into a warmer world E. Hawkins et al. 10.5194/esd-14-1081-2023
- A long record of European windstorm losses and its comparison to standard climate indices S. Cusack 10.5194/nhess-23-2841-2023
- How to stop being surprised by unprecedented weather T. Kelder et al. 10.1038/s41467-025-57450-0
- The Importance and Scientific Value of Long Weather and Climate Records; Examples of Historical Marine Data Efforts across the Globe J. Luterbacher et al. 10.3390/cli12030039
- Could old tide gauges help estimate past atmospheric variability? P. Platzer et al. 10.5194/cp-20-2267-2024
7 citations as recorded by crossref.
- Using analogues to predict changes in future UK heatwaves* E. Yule et al. 10.1088/2752-5295/ad57e3
- Investigation of historical severe storms and storm tides in the German Bight with century reanalysis data E. Meyer & L. Gaslikova 10.5194/nhess-24-481-2024
- ESD Ideas: Translating historical extreme weather events into a warmer world E. Hawkins et al. 10.5194/esd-14-1081-2023
- A long record of European windstorm losses and its comparison to standard climate indices S. Cusack 10.5194/nhess-23-2841-2023
- How to stop being surprised by unprecedented weather T. Kelder et al. 10.1038/s41467-025-57450-0
- The Importance and Scientific Value of Long Weather and Climate Records; Examples of Historical Marine Data Efforts across the Globe J. Luterbacher et al. 10.3390/cli12030039
- Could old tide gauges help estimate past atmospheric variability? P. Platzer et al. 10.5194/cp-20-2267-2024
Discussed (final revised paper)
Latest update: 24 Mar 2025
Executive editor
This paper clearly demonstrates the value of the rescue of historical meteorological data, as they help to come to a better assessment of the characteristics of events in the past. Using such data, the study is able to give evidence for physical processes of particular relevance for the intensity of an historical hazardous event. The approach makes an assessment of such events in the context of climate change and variability possible.
This paper clearly demonstrates the value of the rescue of historical meteorological data, as...
Short summary
We examine a severe windstorm that occurred in February 1903 and caused significant damage in the UK and Ireland. Using newly digitized weather observations from the time of the storm, combined with a modern weather forecast model, allows us to determine why this storm caused so much damage. We demonstrate that the event is one of the most severe windstorms to affect this region since detailed records began. The approach establishes a new tool to improve assessments of risk from extreme weather.
We examine a severe windstorm that occurred in February 1903 and caused significant damage in...
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