Articles | Volume 16, issue 1
https://doi.org/10.5194/nhess-16-255-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-255-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Jan 2016
Research article |
| 25 Jan 2016
An approach to build an event set of European windstorms based on ECMWF EPS
R. Osinski
CNRM/GAME, Météo-France and CNRS, Toulouse, France
Institute of Meteorology, Freie Universität Berlin, Berlin, Germany
P. Lorenz
Meteo Service Weather Research GmbH, Berlin, Germany
Institute of Meteorology, Freie Universität Berlin, Berlin, Germany
T. Kruschke
GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
Institute of Meteorology, Freie Universität Berlin, Berlin, Germany
M. Voigt
GFZ German Research Centre for Geosciences, Potsdam, Germany
Institute of Meteorology, Freie Universität Berlin, Berlin, Germany
Institute of Meteorology, Freie Universität Berlin, Berlin, Germany
G. C. Leckebusch
School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
Institute of Meteorology, Freie Universität Berlin, Berlin, Germany
E. Faust
Munich Re, Munich, Germany
T. Hofherr
Munich Re, Munich, Germany
D. Majewski
German Weather Service, Offenbach, Germany
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Cited
19 citations as recorded by crossref.
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- On the Use of Ensemble Predictions for Parametric Typhoon Insurance K. Ng et al. 10.3390/cli9120174
- A Causality-guided Statistical Approach for Modeling Extreme Mei-yu Rainfall Based on Known Large-scale Modes—A Pilot Study K. Ng et al. 10.1007/s00376-022-1348-3
- About the return period of a catastrophe M. Raschke 10.5194/nhess-22-245-2022
- Model uncertainties of a storm and their influence on microplastics and sediment transport in the Baltic Sea R. Osinski et al. 10.5194/os-16-1491-2020
- Quantifying the extremity of windstorms for regions featuring infrequent events M. Walz et al. 10.1002/asl.758
- Extreme floods in Europe: going beyond observations using reforecast ensemble pooling M. Brunner & L. Slater 10.5194/hess-26-469-2022
- A new view on the risk of typhoon occurrence in the western North Pacific K. Ng & G. Leckebusch 10.5194/nhess-21-663-2021
- An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions T. Kelder et al. 10.1002/met.2065
- 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 UNSEEN trends to detect decadal changes in 100-year precipitation extremes T. Kelder et al. 10.1038/s41612-020-00149-4
- Improvement of decadal predictions of monthly extreme Mei-yu rainfall via a causality guided approach K. Ng et al. 10.1088/2752-5295/ad6631
- Heatwave attribution based on reliable operational weather forecasts N. Leach et al. 10.1038/s41467-024-48280-7
- Loss potentials based on an ensemble forecast: How likely are winter windstorm losses similar to 1990? M. Walz & G. Leckebusch 10.1002/asl.891
- Compound wind and rainfall extremes: Drivers and future changes over the UK and Ireland C. Manning et al. 10.1016/j.wace.2024.100673
- Ensemble hindcasting of wind and wave conditions with WRF and WAVEWATCH III® driven by ERA5 R. Osinski & H. Radtke 10.5194/os-16-355-2020
- Objective identification of potentially damaging tropical cyclones over the Western North Pacific D. Befort et al. 10.1088/2515-7620/ab7b35
- 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
- On the Dependency of Atlantic Hurricane and European Windstorm Hazards M. Angus & G. Leckebusch 10.1029/2020GL090446
18 citations as recorded by crossref.
- Seasonal impact-based mapping of compound hazards J. Hillier & R. Dixon 10.1088/1748-9326/abbc3d
- On the Use of Ensemble Predictions for Parametric Typhoon Insurance K. Ng et al. 10.3390/cli9120174
- A Causality-guided Statistical Approach for Modeling Extreme Mei-yu Rainfall Based on Known Large-scale Modes—A Pilot Study K. Ng et al. 10.1007/s00376-022-1348-3
- About the return period of a catastrophe M. Raschke 10.5194/nhess-22-245-2022
- Model uncertainties of a storm and their influence on microplastics and sediment transport in the Baltic Sea R. Osinski et al. 10.5194/os-16-1491-2020
- Quantifying the extremity of windstorms for regions featuring infrequent events M. Walz et al. 10.1002/asl.758
- Extreme floods in Europe: going beyond observations using reforecast ensemble pooling M. Brunner & L. Slater 10.5194/hess-26-469-2022
- A new view on the risk of typhoon occurrence in the western North Pacific K. Ng & G. Leckebusch 10.5194/nhess-21-663-2021
- An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions T. Kelder et al. 10.1002/met.2065
- 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 UNSEEN trends to detect decadal changes in 100-year precipitation extremes T. Kelder et al. 10.1038/s41612-020-00149-4
- Improvement of decadal predictions of monthly extreme Mei-yu rainfall via a causality guided approach K. Ng et al. 10.1088/2752-5295/ad6631
- Heatwave attribution based on reliable operational weather forecasts N. Leach et al. 10.1038/s41467-024-48280-7
- Loss potentials based on an ensemble forecast: How likely are winter windstorm losses similar to 1990? M. Walz & G. Leckebusch 10.1002/asl.891
- Compound wind and rainfall extremes: Drivers and future changes over the UK and Ireland C. Manning et al. 10.1016/j.wace.2024.100673
- Ensemble hindcasting of wind and wave conditions with WRF and WAVEWATCH III® driven by ERA5 R. Osinski & H. Radtke 10.5194/os-16-355-2020
- Objective identification of potentially damaging tropical cyclones over the Western North Pacific D. Befort et al. 10.1088/2515-7620/ab7b35
- 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
1 citations as recorded by crossref.
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