Organization: Atmospheric Sciences Research Center (ASRC), University at Albany
Period: 2025-Present
Funder: New York State Department of Financial Services (NYS DFS)
Contributing to Assessing Climate Exposure and Financial Impacts at the Census Tract Level in New York State, a collaboration between ASRC and the NYS Department of Financial Services. The project supports DFS in quantifying current and future climate-driven physical risks for regulated entities and vulnerable communities — including low-to-moderate income communities — across New York State.
The work addresses multiple hazard perils and spans several work packages: dataset identification and literature synthesis, retrospective analysis of historical extreme events, physics-based downscaling of billion-dollar damage events, and AI-based statistical downscaling for future climate projections under SSP scenarios through 2100.
My role focuses on AI-based statistical downscaling (Work Packages 7 and 11), developing deep-learning approaches to generate high-resolution climate projections from global model output at census-tract spatial scales. These projections feed directly into risk exposure analyses used by DFS for regulatory and financial impact assessment.