We define climate extremes inclusively as severe weather or hydrological events as well as large changes in regional hydrometeorological patterns caused by natural climate variability or climate change, with potentially significant consequences on critical infrastructures, key resources, human lives or economic activity. Our research spans the spectrum of this broadly construed climate extremes area, with a particular focus on generating predictive insights, along with their uncertainties, that are credible at spatio-temporal scales relevant to resource managers and policy makers. The computational methods developed are data-intensive, where data in this context includes weather or climate-related observations, archived climate model simulations, as well as information relevant for multi-sector consequences of climate and global environmental change.