Kathy Pegion
Associate Professor
Boulder, Colorado, United States
Summary
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Senior🎓
Top SchoolKathy Pegion is an Associate Professor and climate scientist with a decade of academic experience focused on improving weather and climate forecasts from subseasonal to seasonal timescales. She blends deep physical understanding of predictability with strong data-science skills—programming, statistical analysis, and working with large global model datasets—to evaluate and enhance prediction systems. Her research spans weeks-to-years forecasting and emphasizes model development and practical use of operational predictions. As an educator she trains students in data-driven discovery, structuring courses so learners gain hands-on experience with real climate data and analysis tools. Before academia she worked in applied meteorology and scientific programming, giving her a rare mix of operational, research, and teaching perspectives. Based in Boulder, CO, she leverages that environment and interdisciplinary collaborations to translate complex model insights into improved forecast practice.
10 years of coding experience
17 years of employment as a software developer
Master of Science (M.S.), Meteorology, Master of Science (M.S.), Meteorology at Florida State UniversityDoctor of Philosophy (PhD), Climate Dynamics, Doctor of Philosophy (PhD), Climate Dynamics at George Mason University
Github Skills (30)
iri10
prediction10
noaa9
weather-data9
oceanography8
python8
yang8
forecasts8
pandas8
forecasting8
earth8
dask8
verification8
datasets8
netcdf8
Programming languages (3)
Github contributions (5)
kpegion/SubX
Aug 2017 - May 2018
Kathy's Codes for Accessing and Processing SubX Data from the IRI Data Library
Contributions:1 release, 105 commits, 3 PRs in 9 months
subxsarifservicenowyangpython
ou-esplab/SoM-ESPLab-DATASETS-CATALOG
Sep 2022 - May 2024
Contributions:104 pushes, 1 branch in 1 year 9 months
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