Articles | Volume 21, issue 7
https://doi.org/10.5194/nhess-21-2001-2021
© Author(s) 2021. 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-21-2001-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Intense windstorms in the northeastern United States
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, New York, USA
Rebecca J. Barthelmie
Sibley School of Mechanical and Aerospace Engineering, Cornell
University, Ithaca, New York, USA
Kevin I. Hodges
Environmental System Science Centre, University of Reading, Reading,
United Kingdom
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, New York, USA
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Cited
14 citations as recorded by crossref.
- Short‐Term Forecasting of Wind Gusts at Airports Across CONUS Using Machine Learning J. Coburn et al. 10.1029/2022EA002486
- Incorporating spatial autocorrelation into deformable ConvLSTM for hourly precipitation forecasting L. Xu et al. 10.1016/j.cageo.2024.105536
- Probabilistic forecasts of extreme wind gusts P. Fox-Hughes et al. 10.1071/ES24052
- Modeling and observations of North Atlantic cyclones: Implications for U.S. Offshore wind energy J. Wang et al. 10.1063/5.0214806
- Historical and Future Windstorms in the Northeastern United States S. Pryor et al. 10.3390/cli13050105
- Do Machine Learning Approaches Offer Skill Improvement for Short-Term Forecasting of Wind Gust Occurrence and Magnitude? J. Coburn & S. Pryor 10.1175/WAF-D-21-0118.1
- Enhanced rainfall forecasting for Mumbai using data-driven ConvLSTM2D models at fine spatial and temporal scales A. Sunil et al. 10.1007/s11069-025-07267-3
- Metrics as tools for bridging climate science and applications K. Reed et al. 10.1002/wcc.799
- Changing windstorm characteristics over the US Northeast in a single model large ensemble J. Coburn et al. 10.1088/1748-9326/ad801b
- Extreme windstorms in the Northeastern USA in the contemporary and future climate X. Zhou et al. 10.1007/s00382-023-07012-1
- Annual estimates of wind disturbance in relation to time of observation in a panelized national forest inventory C. Edgar & J. Westfall 10.1016/j.foreco.2025.123082
- Assessing the impact of global warming on windstorms in the northeastern United States using the pseudo-global-warming method J. Sethunadh et al. 10.1007/s11069-023-05968-1
- Poleward intensification of midlatitude extreme winds under warmer climate E. Gentile et al. 10.1038/s41612-023-00540-x
- Extreme Wind and Waves in U.S. East Coast Offshore Wind Energy Lease Areas R. Barthelmie et al. 10.3390/en14041053
13 citations as recorded by crossref.
- Short‐Term Forecasting of Wind Gusts at Airports Across CONUS Using Machine Learning J. Coburn et al. 10.1029/2022EA002486
- Incorporating spatial autocorrelation into deformable ConvLSTM for hourly precipitation forecasting L. Xu et al. 10.1016/j.cageo.2024.105536
- Probabilistic forecasts of extreme wind gusts P. Fox-Hughes et al. 10.1071/ES24052
- Modeling and observations of North Atlantic cyclones: Implications for U.S. Offshore wind energy J. Wang et al. 10.1063/5.0214806
- Historical and Future Windstorms in the Northeastern United States S. Pryor et al. 10.3390/cli13050105
- Do Machine Learning Approaches Offer Skill Improvement for Short-Term Forecasting of Wind Gust Occurrence and Magnitude? J. Coburn & S. Pryor 10.1175/WAF-D-21-0118.1
- Enhanced rainfall forecasting for Mumbai using data-driven ConvLSTM2D models at fine spatial and temporal scales A. Sunil et al. 10.1007/s11069-025-07267-3
- Metrics as tools for bridging climate science and applications K. Reed et al. 10.1002/wcc.799
- Changing windstorm characteristics over the US Northeast in a single model large ensemble J. Coburn et al. 10.1088/1748-9326/ad801b
- Extreme windstorms in the Northeastern USA in the contemporary and future climate X. Zhou et al. 10.1007/s00382-023-07012-1
- Annual estimates of wind disturbance in relation to time of observation in a panelized national forest inventory C. Edgar & J. Westfall 10.1016/j.foreco.2025.123082
- Assessing the impact of global warming on windstorms in the northeastern United States using the pseudo-global-warming method J. Sethunadh et al. 10.1007/s11069-023-05968-1
- Poleward intensification of midlatitude extreme winds under warmer climate E. Gentile et al. 10.1038/s41612-023-00540-x
1 citations as recorded by crossref.
Latest update: 29 Aug 2025
Short summary
Windstorms during the last 40 years in the US Northeast are identified and characterized using the spatial extent of extreme wind speeds at 100 m height from the ERA5 reanalysis. During all of the top 10 windstorms, wind speeds exceeding the local 99.9th percentile cover at least one-third of the land area in this high-population-density region. These 10 storms followed frequently observed cyclone tracks but have intensities 5–10 times the mean values for cyclones affecting this region.
Windstorms during the last 40 years in the US Northeast are identified and characterized using...
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