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My research focuses on understanding how well current state-of-the-art regional climate modeling simulations capture observed variability and change in precipitation extremes and how current model limitations (e.g. parameterization scheme) could impact future projections. The work involves applying a benchmarking framework that includes observational uncertainty and a process-based understanding of regional domains worldwide, in order to address common modeling limitations.  I'm also planning to perform my own simulations to address key research questions related to the project. The ultimate goal is that identified model failings will feed into model development strategies and support enhanced decision-making informed by regional climate model simulations.