This research area aims to develop a systematic approach based on high-resolution regional climate modeling, statistical downscaling, high-performance computing, and big data analytics to facilitate the assessment and visualization of future climate risks at various spatial and temporal scales. The research focuses on five interlocking research tasks: (a) ensemble-based regional climate modeling for high-resolution climate projections; (b) stepwise-clustered statistical downscaling for impact-ready climate projections; (c) Bayes-based uncertainty quantification for probabilistic climate projections; (d) big data analytics for multi-source and high-dimensional climate risk assessment; and (e) GIS- and web-based platform for climate risk visualization.
Here in the Climate Smart Lab, we are a group of people developing sustainable climate solutions with cutting-edge technologies to help build climate-resilient communities. Collectively, we are working together with experts from all disciplines to build a climate-smart future for the next generation and many generations to come.