Our societal response to climate change depends on a better understanding of future climate and how it will affect us. The goal of our research is to improve that understanding so policymakers and the public can make informed choices about climate adaptation and mitigation.
We attack the problem from many angles and at different spatial scales, starting with the global climate models that underpin global and national scientific assessments of climate change. We work to understand why these models behave the way they do, and to evaluate their performance. Among the techniques we use is an innovative approach called emergent constraints, which our group pioneered.
We also work to create future climate projections at the spatial scales where policy decisions are made. We do this in part by innovating techniques to downscale global climate model information.
- Aridification of Colorado River Basin's Snowpack Regions Has Driven Water Losses Despite Ameliorating Effects of Vegetation
- Downslope Wind-Driven Fires in the Western United States
- Achieving Realistic Runoff in the Western United States with a Land Surface Model Forced by Dynamically Downscaled Meteorology.
- Increasing precipitation whiplash in climate change hotspots.
- Moisture-Budget Drivers of Global Projections of Meteorological Drought From Multiple GCM Large Ensembles