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.
Andrews, M. S., V. A. Gensini, A. M. Haberlie, W. S. Ashley, A. C. Michaelis, and M.Taszarek, 2024: Climatology of the elevated mixed layer over the contiguous United States and northern Mexico using ERA5: 1979–2021. J. Climate., 37, 1833–1851. DOI: 10.1175/JCLI-D23-0517.1.
Ashley, W. S., A. M. Haberlie, and V. A. Gensini, 2023: The future of supercells in the United States. Bull. Amer. Meteor. Soc., 104, E1–E21. DOI: 10.1175/BAMS-D-22-0027.1.
Miller, D. E., and V. A. Gensini, 2023: GEFSv12 high- and low-skill day 10 tornado forecasts. Wea. Forecasting, 38, 1195–1207. DOI: 10.1175/WAF-D-22-0122.1.
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
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
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
National Science Foundation, Advancing our understanding of intraseasonal U.S. severe convective storm variability. 2021–2025, Role: PI.
National Oceanic and Atmospheric Administration, Understanding and mitigating future weather and climate risks to American agriculture. 2023–2026, Role: Co-PI.
National Science Foundation, IUCRC Planning Grant Northern Illinois University: Center for Interdisciplinary Research on Convective Storms (CIRCS) 2024–2025, Role: PI.
Professor
Certified Consulting Meteorologist
vgensini@niu.edu
Office: Davis Hall 118
Ph.D., University of Georgia
815-753-1943
815-753-1945 (fax)
askeae@niu.edu