Mimi's research focuses on improving the understanding of key hydrometeorological physical processes, especially those important to the mid-latitude water cycle and those impacting mountain hydroclimates. Her primary tools in this endeavor are dynamically downscaled reanalysis and climate datasets, generated using state-of-the-art regional climate models (e.g., the Weather Research and Forecasting model). She evaluates the downscalings’ representations of meteorological conditions using reanalysis datasets and standard and experimental observations collected within NOAA’s Physical Sciences Laboratory. Then, with a focus on orographic airflow and precipitation, she diagnoses the representation of key physical processes, works toward understanding the sensitivity of these processes to model configuration and under climate change conditions, and uses the downscaling datasets to further our understanding of these physical processes.
- B.S., Electrical Engineering and Mathematics, Penn State University, Jun 2002
- M.S., Atmospheric Science, UCLA, Jun 2004
- Ph.D., Atmospheric Science, UCLA, Jun 2008