13 citations as recorded by crossref.

1. Short‐Term Forecasting of Wind Gusts at Airports Across CONUS Using Machine Learning J. Coburn et al. 10.1029/2022EA002486
2. 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
3. Incorporating spatial autocorrelation into deformable ConvLSTM for hourly precipitation forecasting L. Xu et al. 10.1016/j.cageo.2024.105536
4. 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
5. Metrics as tools for bridging climate science and applications K. Reed et al. 10.1002/wcc.799
6. Changing windstorm characteristics over the US Northeast in a single model large ensemble J. Coburn et al. 10.1088/1748-9326/ad801b
7. Probabilistic forecasts of extreme wind gusts P. Fox-Hughes et al. 10.1071/ES24052
8. Modeling and observations of North Atlantic cyclones: Implications for U.S. Offshore wind energy J. Wang et al. 10.1063/5.0214806
9. Historical and Future Windstorms in the Northeastern United States S. Pryor et al. 10.3390/cli13050105
10. Extreme windstorms in the Northeastern USA in the contemporary and future climate X. Zhou et al. 10.1007/s00382-023-07012-1
11. 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
12. Poleward intensification of midlatitude extreme winds under warmer climate E. Gentile et al. 10.1038/s41612-023-00540-x
13. Extreme Wind and Waves in U.S. East Coast Offshore Wind Energy Lease Areas R. Barthelmie et al. 10.3390/en14041053