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.
For more detail about what we do and what we've discovered so far, visit our About Our Work and Publications pages.
Recent Publications
- Historical sensible-heat-flux variations key to predicting future hydrologic sensitivity.
- A Novel Emergent Constraint Approach for Refining Regional Climate Model Projections of Peak Flow Timing
- Is Bias Correction in Dynamical Downscaling Defensible?
- Understanding the Cascade: Removing GCM biases improves dynamically downscaled climate projections
- An overview of the Western United States Dynamically Downscaled Dataset (WUS-D3)
For Prospective Students
We're always looking for talented students to join our group. If you're interested in working with us, please check out our information for prospective students to learn about the process.