Minnesota Regional Climate Modeling

Quick links: peer-reviewed, published paper; GitHub repository of my Python and NCL code.

During high school, I reached out to University of Minnesota climatologist Tracy Twine and, under her mentorship, began a climate modeling research project. I started by using the NCAR Command Language (NCL) to analyze the output of regional climate models for predicted trends in Minnesota’s average temperature and diurnal temperature range (DTR) in the 21st century. I presented my work at the Twin Cities Regional Science Fairs.

After graduating high school, I was hired as a paid programmer to support Prof. Twine’s research group. I helped the group switch from NCL to Python, interfaced with the University’s high-performance Linux systems, and wrote code using libraries like NumPy, Pandas, Dask, and Xarray to analyze over 100GB of data and produce human-readable statistics and visualizations. I am a co-author on this publication; my code, and more technical information about what it does, can be found here.