Contact
| Dept: | Geological And Atmospheric Sciences |
| Email: | wgallus@iastate.edu |
| Office: | 3025 Agronomy 716 Farm House Ln. Ames IA 50011-1051 |
| Phone: | 515-294-2270 |
| Website: | https://faculty.sites.iastate.edu/wgallus/ |
Bio
Education- B.S. (with Highest Honors) Pennsylvania State University, 1987
- M.S. (NSF Graduate Fellow) Colorado State University, 1989
- Ph.D. Colorado State University, 1993
Research
My research interests primarily focus on improved understanding and prediction of small-scale atmospheric phenomena, especially thunderstorms and their rainfall. In addition, my research focuses on thunderstorm morphological evolution. I am also researching ways to better predict winds for wind energy purposes. Finally, my interest in severe storms includes using machine-learning techniques to improve the storm reports database for estimated severe wind speeds, and exploring climate change impacts on severe weather and flooding.
Research Projects
- Gallus, W. A., Jr., 2020-2023: Enhancing the understanding of nocturnal convective system morphological evolution, NSF.
- Gallus, W. A., Jr., E. S. Weber, J. Newman, S. Dutta, and R. Maitra, 2019-2022: Improved diagnosis of severe wind occurrence through machine learning, NOAA.
- Villegas-Pico, H. and W. A. Gallus, Jr., 2020-2023: Orchestrating the restoration of wind-dominant grids from blackouts, DOE.
- Williams, I., and W. A. Gallus, Jr., 2021-2024: Interactions between clouds and wind-driven surface heat exchanges over land, DOE.
- Poleacovschi, C., M. Perez, B. Cetin, K. Cetin and W. A. Gallus, Jr., 2020-2021: Responding to the housing crisis in the arctic: A transdisciplinary approach across physical, natural and social systems. NSF.
Teaching
- Mteor 407/507 Mesoscale Dynamic Meteorology (3 credits)
- Mteor 411/511 Synoptic Meteorology (3 credits)
- Mteor 417/517 Mesoscale Forecasting Laboratory (3 credits)
Recent Publications
Hiris, Z. A. and W. A. Gallus, Jr., 2021: Factors Contributing to Upscale Convective Growth in the Central Great Plains of the United States. Atmosphere. 12(8), 1019-1043; 10.3390/atmos12081019.
Bercos-Hickey, E., C. M. Patricola, and W. A. Gallus, Jr., 2021: Anthropogenic influences on tornadic storms. J. of Climate (in press).
Mauri, E. L. and W. A. Gallus, Jr., 2021: Differences between Severe and Non-Severe Warm-Season Nocturnal Bow Echo Environments. Wea. Forecasting, 36, 53-74. DOI: 10.1175/WAF-D-20-0137.1.
Vertz, N., W. A. Gallus, Jr., and B. J. Squitieri, 2021: Can pre-storm errors in simulated thermodynamic variables within the low-level inflow to an MCS help predict spatial displacement errors in initiation? Atmosphere, 12(1), 7-24; https://doi.org/10.3390/atmos12010007.
Carlberg, B., W. A. Gallus, Jr., and K. Franz, 2020: A precipitation ensemble shifting technique to account for QPF spatial displacement errors in ensemble flood forecasting. Water, 12(12), 3505; https://doi.org/10.3390/w12123505.
Jahani, E., S. Vanage, K. Cetin, W. A. Gallus, Jr., and D. Jahn, 2020: The Impact of Urban Heat Island on Calibrated Building Energy Model Predictions, 2020 ASHRAE Virtual Conference, June 27-July 1, 2020.
Goenner, A. R,, K. J. Franz, W. A. Gallus, Jr., and B. Roberts, 2020: Creation of probabilistic streamflow forecasts using HRRRE and HREF probabilistic quantitative precipitation forecasts. Water, Water. 12(10), 2860; https://doi.org/10.3390/w12102860.
Lawson, J., W. A. Gallus, Jr., and C. K. Potvin, 2020: Sensitivity of a bowing mesoscale convective system to horizontal grid spacing in a convection-allowing ensemble. Atmosphere, 11, 384: doi:10.3390/atmos11040384.
Jahani, E., S. Vanage, D. E. Jahn, W. A. Gallus, Jr. and K. Cetin, 2020: Urban weather predictions compared to a dense network of ground-based weather station data for assessment of urban energy consumption. ASHRAE Transactions 2019 Vol. 125, Part 2, (https://par.nsf.gov/biblio/10111078).
Squitieri, B. J., and W. A. Gallus, Jr., 2020: On the forecast sensitivity of MCS cold pools and related features to horizontal grid spacing in convection-allowing WRF simulations. Wea. Forecasting, 35, 325-346.