As an atmospheric scientist, I study the global patterns of variability and change in temperature, precipitation, and the transport of moisture. I then focus on the regional climate implications of these patterns on local extremes in precipitation, which can provide needed water resources, and also flooding.
I use computer simulations and observational datasets to help constrain the range of possibility for impacts of climate change at the regional scale. My doctoral work used a multi-scale global atmospheric simulation to connect large-scale moisture transport with year-to-year variability in snowpack in the western United States. Another component quantified the relative contribution of natural variability, emissions scenario, and model spread to the range of possibility in various regions in western North America, with a focus on how estimates of variability can depend on the ensemble of climate simulations employed.
Currently I focus on changes to heavy precipitation globally, distinguishing where geographically there is greater correspondence historically between models and observations, and greater agreement between models on future shifts in the extremes. I’m also contributing to a project downscaling changes to individual events of heavy precipitation known as atmospheric rivers, focusing on large-scale patterns that may predict how such events will impact the California coast.
In my role as Stakeholder Science Lead for the Center for Climate Science, I work to build external partnerships and develop tailored climate evaluations for regional stakeholders, particularly in the area of water resources.
I completed my doctorate in Atmospheric Sciences at the University of Washington in 2017, and also hold a M.S. in Geological Sciences from Arizona State University and a B.A. in Physics from Wesleyan University.