Dr. Michael Notaro is the Associate Director of the Nelson Institute Center for Climatic Research at the University of Wisconsin-Madison. He joined the GLISA team in January 2020 as a Co-Principal Investigator. Dr. Notaro’s work with GLISA aims to lay the groundwork for the design of high-resolution climate projections for the Great Lakes region using a recently-developed regional climate model (RCM) with advanced representation of three-dimensional lake processes, lake-atmosphere interactions, and meteorological extremes. Previously, Notaro’s research group developed a dynamically downscaled dataset for this region by driving the International Centre for Theoretical Physics Regional Climate Model Version Four (RegCM4) at 25-km grid spacing with output from six global climate models (GCMs) from the Coupled Model Intercomparison Project Phase Five (CMIP5). The value of this downscaled product lies in the interactive coupling of the RCM with a one-dimensional lake model, thereby addressing critical lake-atmosphere interactions and facilitating the model’s careful evaluation and optimization for the Great Lakes Basin. The dataset has been the primary source of dynamically downscaled climate projections in GLISA’s Great Lakes Ensemble.
Notaro has extensively collaborated with GLISA as a member of the Scientific Advisory Committee for the Great Lakes Ensemble, providing access to the UW-RegCM dynamical downscaling dataset and guidance for the GLISA Climate Model Report Cards, Climate Change Scenario Menu, and Downscaled Data Guide and serving as a co-author on an in-review publication on the representation of the Great Lakes in CMIP5 GCMs. He received a PhD in Atmospheric Sciences from the State University of New York at Albany. Dr. Notaro is a member of the Climate Working Group of the Wisconsin Initiative on Climate Change Impacts (WICCI). His research areas of interest include regional and global climate modeling, dynamical downscaling, land-lake-atmosphere interactions, climate change impacts on the Great Lakes and terrestrial ecosystems, lake-effect snow, Middle Eastern dust storms, and K-12 climate science education.