Weather Downscaling: Machine learning and hybrid statistical-analytical approaches

This project is part of theme 2 which is focused on predicting and simulating regional climate and weather.
Projections are based on global general circulation models (GCMs) and earth system models (ESMs), which simulate large-scale atmospheric circulation and weather. Obtaining meaningful projections in high-relief areas requires an additional modeling step known as downscaling to translate GCM and ESM projections to higher spatial resolutions. The objectives of this project are to develop high quality downscaling models for all Hawaiian Islands to enable estimation of the effects of weather variability on Hawaiʻi’s water resources and land use.