Corey Potvin
Data Assimilation & Modeling Team (DAMT)
Job Title:Research Meteorologist
Affiliation:Federal
Email:Email hidden; Javascript is required.
Phone:(405) 206-0485
Google Scholar
Warn-on-Forecast scientist in FRDD since 2012, and adjunct/affiliate faculty member of the OU School of Meteorology since 2014. I work on many facets of thunderstorm prediction.
| Degree (Ph.D, M.S, B.A, etc.) | Major Subject | University or College Name | Year (YYYY) (optional) |
|---|---|---|---|
| Ph.D | Meteorology | University of Oklahoma | 2010 |
| M.S. | Meteorology | University of Oklahoma | 2006 |
| B.S. | Meteorology & Mathematics | Lyndon State College | 2004 |
- Warn-on-Forecast
- Convection-allowing models
- Ensemble data assimilation & prediction
- Thunderstorm predictability
- Storm-scale analysis techniques
- Machine learning
- Editor, Weather and Forecasting
- Editor, Artificial Intelligence for the Earth Systems
- Co-Chair, NOAA Artificial Intelligence Working Group
- NOAA AI4NWP Working Group
- Unified Forecast System Short-Range Weather/Convection-Allowing Model Applications Team
- NOAA Generative AI Working Group
- NOAA Modeling Board Working Group on Enabling Observations into Models
| Award Name | Year |
|---|---|
| Department of Commerce Gold Medal Award (Warn-on-Forecast team award) | 2024 |
| Presidential Early Career Award for Scientists and Engineers (PECASE) | 2014 |
CV and full publications list can be found at my NSSL page.
Potvin, C. K., M. L. Flora, P. S. Skinner, A. E. Reinhart, and B. C. Matilla, 2024: Using Machine Learning to Predict Convection-Allowing Ensemble Forecast Skill: Evaluation with the NSSL Warn-on-Forecast System. Artif. Intell. Earth Syst., 3, e230106. DOI: https://doi.org/10.1175/AIES-D-23-0106.1.
Potvin, C. K., C. Broyles, P. S. Skinner, and H. E. Brooks, 2022: Improving estimates of U.S. tornado frequency by accounting for unreported and underrated tornadoes. J. Appl. Meteor. Climatol., 61, 909-930. DOI: 10.1175/JAMC-D-21-0225.1.
Potvin, C.K., and Coauthors, 2019: Systematic comparison of convection-allowing models during the 2017 NOAA HWT Spring Forecasting Experiment. Wea. and Forecasting, 34, 1395-1416. DOI: 10.1175/WAF-D-19-0056.1.
Potvin, C. K., E. M. Murillo, M. L. Flora, and D. M. Wheatley, 2017: Sensitivity of supercell simulations to initial-condition resolution. J. Atmos. Sci., 74, 5-26. DOI: 10.1175/JAS-D-16-0098.1.
Potvin, C. K., and M. L. Flora, 2015: Sensitivity of idealized supercell simulations to horizontal grid spacing: Implications for Warn-on-Forecast. Mon. Wea. Rev., 143, 2998-3024. DOI: 10.1175/MWR-D-14-00416.1.
Potvin, C. K., and L. J. Wicker, 2012: Comparison between dual-Doppler and EnKF storm-scale wind analyses: Observing system experiments with a simulated supercell thunderstorm. Mon. Wea. Rev.., 140, 3972-3991. DOI: 10.1175/MWR-D-12-00044.1.
Potvin, C. K., A. Shapiro, and M. Xue, 2012: Impact of a vertical vorticity constraint in variational dual-Doppler wind analysis: Tests with real and simulated supercell data. J. Atmos. Oceanic Technol., 29, 32-49. DOI: 10.1175/JTECH-D-11-00019.1.
Potvin, C. K., K. L. Elmore, and S. J. Weiss, 2010: Assessing the impacts of proximity sounding criteria on the climatology of significant tornado environments. Wea. and Forecasting, 25, 921-930. DOI: 10.1175/2010WAF2222368.1.