Victor Gensini

Research Emphases

Extreme Weather, Climate Variability/Change, Prediction

Specific Research Endeavors

My research umbrella covers extreme weather and climate, with specific interests focused on: severe convective storms, synoptic/mesoscale meteorology, applied climatology, GIS techniques, geoscience data visualization, weather forecasting and climate change. My research has primarily focused on the relationship between severe convective storms and climate change by utilizing dynamical downscaling from a convective permitting regional climate model. Currently, a majority of my research is examining weather and climate dynamics that explain variability in extreme weather (e.g., hail, tornadoes, heavy rain, heat waves) frequency and analyzing ways to forecast these events at sub-seasonal to seasonal time scales.

Frequently Taught Courses

• GEOG 105: Weather, Climate and You
• MET 300: Meteorology
• GEOG 368: Climate Change, Impacts and Mitigation
• MET 421: Synoptic Meteorology
• GEOG 493: Programming for Geographic and Atmospheric Science

Representative Publications

Miller, D. E., V. A. Gensini, and B. S. Barrett, 2022: Madden-Julian Oscillation influences on US springtime tornado and hail frequency. npj Climate and Atmos. Science., 5, 37. DOI: 10.1038/s41612-022-00263-5

Bundy, L., V. A. Gensini, and M. Russo, 2022: Insured corn losses in the U.S. from weather and climate perils. J. Appl. Meteor. Climatol., DOI:  10.1175/JAMC-D-21-0245.1

Gensini V. A. , A. M. Haberlie, and W. S. Ashley, 2022: Convection-permitting simulations of historical and possible future climate over the contiguous United States. Clim. Dyn., DOI:  10.1007/s00382-022-06306-0

Fritzen, R., V. Lang, and V. A. Gensini, 2021: Trends and variability of North American cool-season extratropical cyclones: 1979–2019. J. Appl. Meteor. Climatol., 60, 1319-1331, DOI:  10.1175/JAMC-D-20-0276.1

Gensini V. A., C. Converse, W. S. Ashley, and M. Taszarek, 2021: Machine learning classification of significant tornadoes and hail in the U.S. using ERA5 proximity soundings. Wea. Forecasting, 36, 2143-2160, DOI:  10.1175/WAF-D-21-0056.1

Ashley W. S., A. M. Haberlie, and V. A. Gensini, 2020: Reduced frequency and size of late twenty-first-century snowstorms over North America. Nat. Clim. Chang., 10, 539–544, DOI: 10.1038/s41558-020-0774-4

Gensini V. A. , A. M. Haberlie, and P. T. Marsh, 2020: Practically perfect hindcasts of severe convective storms. Bull. Amer. Meteor. Soc., 101, E1259–E1278, DOI: 10.1175/BAMS-D-19-0321.1

Gensini V. A. , B. S. Barrett, J. T. Allen, D. Gold, and P. Sirvatka, 2020: The Extended Range Tornado Activity Forecast (ERTAF) Project. Bull. Amer. Meteor. Soc., 101, E700–E709, DOI: 10.1175/BAMS-D-19-0188.1

Gensini, V. A., D. Gold, J. T. Allen, and B. S. Barrett, 2019: Extended U.S. tornado outbreak during late May 2019: A forecast of opportunity. Geophys. Res. Lett., 46. DOI: 10.1029/2019GL084470

Gensini, V. A., and L. B. de Guenni, 2019: Environmental covariate representation of seasonal U.S. tornado frequency. J. Appl. Meteor. Climatol., 58, 1353–1367. DOI: 10.1175/JAMC-D-18-0305.1

Gensini, V. A., and M. K. Tippett, 2019: Global Ensemble Forecast System (GEFS) predictions of days 1–15 U.S. tornado and hail frequencies. Geophys. Res. Lett., 46, 2922–2930. DOI: 10.1029/2018GL081724

Gensini, V. A., and H. E. Brooks, 2018: Spatial trends in United States tornado activity. npj Climate and Atmos. Science., 1, 1–5. DOI: 10.1038/s41612-018-0048-2

Grants

National Science Foundation 2021-2024. Advancing Our Understanding of Intraseasonal United States Severe Convective Storm Variability. Role: PI.