Matthew Wandishin leads the Forecast Impact and Quality Assessment Services (FIQAS) Branch, which evaluates aviation weather forecast products for the Federal Aviation Administration (FAA) and the National Weather Service (NWS) and develops weather decision support services. His research interests center on useful forecast verification; that is, looking at forecast performance in the context of how the forecasts are used. Prior to coming to Global Systems Laboratory, he showed a contrarian nature by not studying tornadoes during twelve years at the National Severe Storms Laboratory in Norman, OK, choosing instead to focus on predictability and the use of forecast ensembles. He also has an inordinate interest in prescriptivist grammar, fonts, and color table choices.
Outside of work, Matthew is kept busy with a handful of children ranging from ages 18 down to three. Any remaining is spent listening to music and reading books without pictures.
User-oriented forecast verification
Use and evaluation of probabilistic forecasts
Effective communication of quantitative information
2009 - 2016: Analyst and Project Lead, Forecast Impact and Quality Assessment Services Branch, GSL, NOAA
2008-2009: Research Intern, Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma
1997 - 2008: Research Intern, Institute for Atmospheric Physics, University of Arizona (physically located at the National Severe Storms Laboratory, Norman, OK)
Abboud, A.W., K.R. Fenton, J.P. Lehmer, B.A. Fehringer, J.P. Gentle, T.R. McJunkin, K.L. Le Blanc, M.A. Petty, and M.S. Wandishin, 2019: Coupling Computational Fluid Dynamics with the High-Resolution Rapid Refresh Model for Forecasting Dynamic Line Ratings. Electric Power Systems Research,170, 326-337.
Wandishin, M.S., D.J. Stensrud, S.L. Mullen, and L.J. Wicker, 2010: On the Predictability of Mesoscale Convective Systems: Three-Dimensional Simulations. Mon. Wea. Rev.,138, 863-885.
Schwartz, C.S., J.S. Kain, S.J. Weiss, M. Xue, D.R. Bright, F. Kong, K.W. Thomas, J.J. Levit, M.C. Coniglio, and M.S. Wandishin, 2009: Toward improved convection-allowing ensembles: Model physics sensitivities and optimizing probabilistic guidance with small ensemble membership. Wea. Forecasting,25, 263-280.
Wandishin, M.S. and S.L. Mullen, 2009: Multi-class ROC Analysis. Wea. Forecasting,24, 530-547.
Wandishin, M.S., D.J. Stensrud, S.L. Mullen, and L.J. Wicker, 2008: On the Predictability of Mesoscale Convective Systems: Two-Dimensional Simulations. Wea. Forecasting,23, 773–785.
Wandishin, M.S., M.E. Baldwin, S.L. Mullen, and J.V. Cortinas, 2005: Short-Range Ensemble Forecasts of Precipitation Type. Wea. Forecasting,20, 609–626.
Wandishin, M.S. and H.E. Brooks, 2002: On the relationship between Clayton’s skill score and expected value for forecasts of binary events. Meteorol. Appl.,9, 455-459.
Wandishin, M.S., S.L. Mullen, D.J. Stensrud, and H.E. Brooks, 2001: Evaluation of a Short-Range Multimodel Ensemble System. Mon. Wea. Rev.,129, 729–747.
Wandishin, M.S., J.W. Nielsen-Gammon, and D. Keyser, 2000: A Potential Vorticity Diagnostic Approach to Upper-Level Frontogenesis within a Developing Baroclinic Wave. J. Atmos. Sci.,57, 3918-3938.
Stensrud, D.J., and M.S. Wandishin, 2000: The Correspondence Ratio in Forecast Evaluation. Wea. Forecasting,15, 593–602.