Paul Roebber

Web: Personal Webpage

Educational Degrees

• PhD, Meteorology, McGill University, Montreal, Quebec, 1991
• MS, Meteorology, Massachusetts Inst. of Technology, Cambridge, MA, USA, 1983
• BSc, Meteorology, McGill University, Montreal, Quebec, Canada, 1981

Research Positions

• Atmospheric Scientist, The MEP Company, 1983-88
• Postdoctoral Research Associate, SUNY at Albany, 1992-1994
• Senior Research Associate, Cooperative Institute for Research in the Atmosphere, Colorado State University, 2016-present
• UWM School of Freshwater Sciences Water Policy Fellow, 2016-17
• Affiliate Faculty, Northwestern Mutual Data Science Institute, Milwaukee, WI, 2019-present

Research Interests

• Synoptic and mesoscale meteorology
• Climate dynamics
• Systems modeling (machine learning, agent-based models)
• Forecast verification
• Numerical weather prediction

Selected Service and Projects

• Initiative Administrator of Innovative Weather
• An Agent-based Investigation of Hurricane Evacuation Dynamics: Key factors, Connections, and Emergent Behaviors, NSF Grant, 2021-present
• Objective methods for thinning the frequency of reforecasts while meeting postprocessing and model validation needs, CIGLR, 2019-21
• Improving upon flash flooding risk assessments and forecast for Great Lakes cities (IL/IN and WI joint proposal), NOAA/Sea Grant, 2016-18
• Numerical Assessment of the Practical and Intrinsic Predictability of Warm-season Convective Initiation, NSF Grant, 2014-2017, with C. Evans.
• Role of Low-Level Clouds in the Accelerated Warming of the Great Lakes, NSF Grant, 2012-2105, with S. Kravtsov.
• Recent publications of interest:
  • Roebber, P.J., B.M. Burlingame, and A. de Winter, 2022: On the existence of momentum in professional football, PLoS One, https://doi.org/10.1371/journal.pone.0269604.
  • Harris, A., P. J. Roebber, and R. Morss, 2021: An agent-based modeling framework for examining the dynamics of the hurricane-forecast-evacuation system. International Journal of Disaster Risk Reduction, 7:102669, DOI:10.1016/j.ijdrr.2021.102669.
  • Roebber, P.J., 2021: Towards an adaptive artificial neural network based postprocessor. Wea. Rev., 149, 4045-4055.
  • Roebber, P.J., and J. Crockett, 2019: Using a coevolutionary post-processor to improve skill for both forecasts of surface temperature and nowcasts of convection occurrence. Mon. Wea. Rev., 147, 4241-4259.
  • Kravtsov, S., N. Sugiyama, and P. Roebber, 2018: Role of nonlinear dynamics in accelerated warming of Great Lakes. In: Advances in Nonlinear Geosciences, Springer, 279-295.
  • Hoffman, R.R., D.S. Ladue, H.M. Mogil, P.J. Roebber, and J.G. Trafton and, 2017: Minding the Weather: How Expert Forecasters Think. MIT. Press, 528 pp.
  • Roebber, P.J., and G. Richard Meadows, 2012: Simulating alternative approaches to addressing fiscal resource tensions and quality in U.S. public higher education. J. Education Finance, 38, 81-108.
  • Roebber, P.J., and M.R. Schumann, 2011: Physical processes governing the rapid deepening tail of maritime cyclogenesis. Mon. Wea. Rev., 139, 2776-2789.
  • Smith, K., and P.J. Roebber, 2011: Green roof mitigation potential for a proxy future climate scenario in Chicago, IL. J. Appl. Meteorol. and Clim., 50, 507-522.
  • Roebber, P.J., 2009: Planetary waves, cyclogenesis, and the irregular breakdown of zonal motion over the North Atlantic. Mon. Wea. Rev., 137, 3907-3917.
  • Roebber, P.J, 2009: Visualizing multiple measures of forecast quality. Wea. Forecasting, 24, 601-608.
  • Tsonis, A.A., and P.J. Roebber, 2004: The architecture of the climate network. Physica A, 333, 497-504.
  • Roebber, P.J., S.L. Bruening, D.M. Schultz and J.V. Cortinas Jr., 2003: Improving snowfall forecasting by diagnosing snow density. Wea. Forecasting, 18, 264-287.
  • Roebber, P.J., D.M. Schultz and R. Romero, 2002: Synoptic regulation of the 3 May 1999 tornado outbreak. Wea. Forecasting,, 17, 399-429.
  • Gyakum, J.R. and P.J. Roebber, 2001: The 1998 ice storm: Analysis of a planetary scale event. Mon. Wea. Rev.,, 129, 2983-2997.