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.
Research article
| Highlight paper
| 
24 Apr 2023
Research article | Highlight paper |
| 24 Apr 2023
| 24 Apr 2023
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
17 citations as recorded by crossref.
- Evaluation of nine gridded daily weather reconstructions for the European heatwave summer of 1807 P. Stucki et al.
- The need for multi‐method extreme event attribution V. Thompson et al.
- Using analogues to predict changes in future UK heatwaves* E. Yule et al.
- Data rescue of historical tables through semi-supervised table structure recognition L. Singh & S. Middleton
- Investigation of historical severe storms and storm tides in the German Bight with century reanalysis data E. Meyer & L. Gaslikova
- Strong wind occurrence in Poland from the 13th to 16th centuries based on documentary evidence R. Przybylak et al.
- ESD Ideas: Translating historical extreme weather events into a warmer world E. Hawkins et al.
- Performance of a 179-year high-resolution climate simulation of Southern Alaska S. Königseder et al.
- A long record of European windstorm losses and its comparison to standard climate indices S. Cusack
- Science–policy–practice insights for compound and multi‐hazard risks L. Brett et al.
- MeteoSaver v1.0: a machine-learning based software for the transcription of historical weather data D. Muheki et al.
- Reconstructing nineteenth-century Danube river water levels with transformer-based computer vision M. Rehbein
- A Metrological Framework for Addressing Uncertainty in Satellite and In Situ Earth Environmental Observations E. Woolliams et al.
- Participatory data collation and standardized hydrometeorological indicators improve understanding of the extent and drivers of flood and drought impacts at the catchment scale M. Ascott et al.
- How to stop being surprised by unprecedented weather T. Kelder et al.
- The Importance and Scientific Value of Long Weather and Climate Records; Examples of Historical Marine Data Efforts across the Globe J. Luterbacher et al.
- Could old tide gauges help estimate past atmospheric variability? P. Platzer et al.
17 citations as recorded by crossref.
- Evaluation of nine gridded daily weather reconstructions for the European heatwave summer of 1807 P. Stucki et al.
- The need for multi‐method extreme event attribution V. Thompson et al.
- Using analogues to predict changes in future UK heatwaves* E. Yule et al.
- Data rescue of historical tables through semi-supervised table structure recognition L. Singh & S. Middleton
- Investigation of historical severe storms and storm tides in the German Bight with century reanalysis data E. Meyer & L. Gaslikova
- Strong wind occurrence in Poland from the 13th to 16th centuries based on documentary evidence R. Przybylak et al.
- ESD Ideas: Translating historical extreme weather events into a warmer world E. Hawkins et al.
- Performance of a 179-year high-resolution climate simulation of Southern Alaska S. Königseder et al.
- A long record of European windstorm losses and its comparison to standard climate indices S. Cusack
- Science–policy–practice insights for compound and multi‐hazard risks L. Brett et al.
- MeteoSaver v1.0: a machine-learning based software for the transcription of historical weather data D. Muheki et al.
- Reconstructing nineteenth-century Danube river water levels with transformer-based computer vision M. Rehbein
- A Metrological Framework for Addressing Uncertainty in Satellite and In Situ Earth Environmental Observations E. Woolliams et al.
- Participatory data collation and standardized hydrometeorological indicators improve understanding of the extent and drivers of flood and drought impacts at the catchment scale M. Ascott et al.
- How to stop being surprised by unprecedented weather T. Kelder et al.
- The Importance and Scientific Value of Long Weather and Climate Records; Examples of Historical Marine Data Efforts across the Globe J. Luterbacher et al.
- Could old tide gauges help estimate past atmospheric variability? P. Platzer et al.
Saved (final revised paper)
Latest update: 28 Apr 2026
Editorial statement
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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