William Gallus

Professor [GE AT]
Dept:Geological And Atmospheric Sciences
Office:3025 Agronomy
716 Farm House Ln
Ames IA

B.S. (with Highest Honors) Pennsylvania State University, 1987
M.S. (NSF Graduate Fellow) Colorado State University, 1989
Ph.D. Colorado State University, 1993

My research interests primarily focus on improved prediction of small-scale atmospheric phenomena, especially thunderstorms and their rainfall. Improvements in computational technology in recent years have allowed for increasingly fine grid spacing to be used in numerical weather prediction models. Although the finer grid spacing allows the models to simulate increasingly realistic storm structure, forecasts of warm season thunderstorm system rainfall remain rather poor. My research with the WRF model suggests there is no way in the forseeable future that improvements can be made to guarantee good results consistently in a single deterministic forecast. Thus, more of my work uses ensemble forecast systems. In addition to studying ways to improve QPF, my research focuses on thunderstorm morphological evolution. I am also using ensembles to find ways to better predict winds for wind energy purposes. Finally, my interest in severe storms extends into other research projects including one directed toward improving student understanding of storm-scale dynamics through the use of virtual reality education tools, and another aiming to better understand near-ground tornado winds through damage surveys and use of a laboratory tornado simulator so that homes can be better designed to withstand tornado winds.

Research Projects

• Gallus, W. A., Jr. and M. Segal, 2012-2016: Improved understanding of convective system evolution. NSF

• Gallus, W. A., Jr., and K. Franz, 2014-2016: The use of radar data assimilation in high resolution WRF runs for improved short-term QPF for flood forecasting, convective morphology prediction, and probability of precipitation guidance. NOAA

• Gallus, W. A., Jr., 2014-2016: Understanding the predictability of initiation and morphological evolution of PECAN nocturnal mesoscale convective systems. NSF

• Gallus, W. A., Jr., 2014-2015: Improved mesoscale model rainfall forecasts for flood forecasting at the Iowa Flood Center: Use of Radar Data Assimilation. Iowa Flood Center

• Ogilvie, C., W. A. Gallus, Jr., and others, 2014-2019: Engaged to Excel (E2E). Howard Hughes Medical Institute

• McCalley, J. and others (Gallus – senior personnel), 2012-2017: A new interdisciplinary PhD program in Wind Energy Science, Engineering, and Policy (WESEP). NSF

Mteor 107 Severe and Hazardous Weather (1 credit)
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

Jahn, D. E., Takle, E. S., & Gallus, W. A. 2017. Improving Wind-Ramp Forecasts in the Stable Boundary Layer. Boundary-Layer Meteorology, 1-24.

Geerts, B., Parsons, D., Ziegler, C. L., Weckwerth, T. M., Turner, D. D., Wurman, J., Kosiba, K., Rauber, R.M., McFarquhar, G.M., Parker, M.D., Schumacher, R.S., Coniglio, M.C., Haghi, K., Biggerstaff, M.I., Klein, P.M., Gallus, W.A., Demoz, B.B., Knupp, K.R., Ferrare, R.A., Nehrir, A.R., Clark, R.D., Wang, X., Hanesiak, J.M., & Schumacher, R. S. 2016. The 2015 Plains Elevated Convection At Night (PECAN) field project. Bulletin of the American Meteorological Society.

Lawson, J. R., & Gallus, W. A. 2016. Adapting the SAL method to evaluate reflectivity forecasts of summer precipitation in the central United States. Atmospheric Science Letters, 17(10), 524-530.

Lawson, J., & Gallus Jr, W. A. 2016. On Contrasting Ensemble Simulations of Two Great Plains Bow Echoes. Weather and Forecasting, 31(3), 787-810.

Squitieri, B. J., & Gallus Jr, W. A. 2016. WRF Forecasts of Great Plains Nocturnal Low-Level Jet-Driven MCSs. Part I: Correlation between Low-Level Jet Forecast Accuracy and MCS Precipitation Forecast Skill. Weather and Forecasting, 31(4), 1301-1323.

Squitieri, B. J., & Gallus Jr, W. A. 2016. WRF Forecasts of Great Plains Nocturnal Low-Level Jet-Driven MCSs. Part II: Differences between Strongly and Weakly Forced Low-Level Jet Environments. Weather and Forecasting, 31(5), 1491-1510.

Yan, H., & Gallus Jr, W. A. 2016. An Evaluation of QPF from the WRF, NAM, and GFS Models Using Multiple Verification Methods over a Small Domain. Weather and Forecasting, 31(4), 1363-1379.