Program Manager at Office of Science and Technology Integration Modeling Program Division, NWS/NOAA
Silver Spring, Maryland, United States
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Summary
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Senior
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Top School
Yan Xue is a Program Manager at NOAA’s NWS OSTI Modeling Program Division with over two decades of experience in climate prediction, subseasonal-to-seasonal forecasting, and coupled ocean-atmosphere systems. He led development of NOAA’s first UFS-based Seasonal Forecast System and manages Weeks 3–4 forecast improvement programs and NOFO grants, coordinating cross-agency teams including NWS, OAR, NCAR, and academia. Previously a Physical Scientist at the Climate Prediction Center, he brings deep research expertise in coupled reanalysis, observing system experiments, and ocean monitoring. Technically fluent in operational model workflows, he has contributed DevOps improvements to the GFS global workflow to enhance automation and restart handling. Trained with a PhD in Geophysical Science from Columbia and a BA from USTC, he blends rigorous academic grounding with pragmatic program delivery across operational and research communities.
8 years of coding experience
18 years of employment as a software developer
Master's degree, Atmospheric Sciences and Meteorology, 4, Master's degree, Atmospheric Sciences and Meteorology, 4 at Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Bachelor's degree, Atmospheric Sciences and Meteorology, 3.75, Bachelor's degree, Atmospheric Sciences and Meteorology, 3.75 at University of Science and Technology of China
Doctor of Philosophy (Ph.D.), Geophysical science, oceanography, 4, Doctor of Philosophy (Ph.D.), Geophysical science, oceanography, 4 at Columbia University in the City of New York
Global Superstructure/Workflow supporting the Global Forecast System (GFS)
Role in this project:
DevOps Engineer
Contributions:77 reviews, 45 commits, 24 PRs in 2 years 6 months
Contributions summary:Yan primarily focused on modifying and extending the workflow scripts and configurations for the Global Forecast System (GFS). They implemented features such as early cycle EnKF workflows and adjusted existing scripts to handle different forecast configurations. They also addressed restart file handling and made updates to ensure accurate data output and model configurations. Their work directly impacts the automation and operational aspects of the GFS workflow.
Contributions:27 pushes, 4 branches, 2 tags in 4 years 7 months
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