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High-Resolution Climate Modeling

High-Resolution Climate Modeling

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.

The Climate Smart Lab would like to acknowledge various funding support from NSERC (DG/RTI/Alliance/CREATE), SSHRC, NRFR, CFI, Mitacs, NRCan, AAFC, NRC, ACOA, Government of PEI, Genome Atlantic, City of Charlottetown, Island Nature Trust, and many other industries and organizations.

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.

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© 2025. All rights reserved by Climate Smart Lab.
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