Brian Zimmerman

MS Student
MS Topic: 
Utilizing ENSO State as a Means for Season Ahead Predictor Selection
Completed 2013
BS Major: 
Civil and Environmental Engineering
Department of Atmospheric and Oceanic Sciences
University of Wisconsin-Madison
Room 1111
1225 West Dayton Street
Madison, WI 53706
Student Bio: 

I'm glad to have finally found what feels like my place in the AOS program at UW-Madison. It was a circuitous route for me, but I feel passionately about the work that goes on here and am very much excited to be a part of such a dynamic and talented group of people. My research interests revolve around seasonal statistical forecasting of hydro-climatic variables, particularly precipitation, and utilizing season-ahead forecasts to optimize management decisions for local to regional water managers. This has so far encompassed developing new forecast methodologies, utilizing these methods to create accurate forecasts, diagnosing the physical mechanisms driving accurate forecasts through both data-driven analysis as well as dynamical modeling experiments, and finally developing ways to incorporate seasonal forecasts into decision support systems used by managers.


Zimmerman, B. G., D. J. Vimont, and P. J. Block, 2016: Utilizing the state of ENSO as a means for season-ahead predictor selection. Wat. Resource. J., 52, 3761–3774, doi: 10.1002/2015WR017644