Srinath’s post-doctoral research is focused on producing stakeholder-specific high-resolution climate projections for the New England region. He received his B.E. degree in Computer Science from University of Madras, India in 2004 and M.S. in Atmospheric Chemistry from North Carolina State University in 2007. During his Ph.D. at Yale University (graduated 2014), he worked on reconstructing changes in the global hydrological cycle during geological global warming events, using a combination of sedimentary biomarker records and paleoclimate models.
His current work focuses on evaluating the impact of climate change on the Northeast United States for the next 50- and 100-years. Results from Community Earth System Model (CESM; simulated at 1.25º resolution) will be dynamically downscaled using the Weather and Research Forecasting model (at the highest-resolution of 4 kms) to produce regional estimates of future climate under various emission and business scenarios. Regional climate outputs will be tailored to drive infectious disease models, such as a lyme disease model, to evaluate potential changes in distribution and propagation of disease vectors with global warming.