Fanglin Yang
Acting Chief, Coupled Modeling Division at NOAA/NWS/NCEP Environmental Modeling Center
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolFanglin Yang is a senior atmospheric scientist and modeling leader with a Ph.D. from UIUC and over two decades of experience advancing operational Earth system modeling at NOAA and NASA. As Acting Chief of the Coupled Modeling Division and Chief of Physics and Dynamics at NCEP EMC, he directs the integration of atmospheric physics and dynamics into coupled models used for weather, air quality, and sub-seasonal-to-seasonal forecasts. He led development and operational transition of multiple GFS generations—including the award-winning GFSv15 dynamical-core upgrade—and has driven verification, data assimilation, and model evaluation systems widely used across the NWP community. Beyond leadership, he contributes hands-on to engineering workflows (e.g., implementing robust restart and I/O configurations in the NOAA-EMC global-workflow repo) that keep large-scale forecasts resilient in production. With 50+ peer-reviewed publications and active roles as editor and reviewer, he bridges research, operational implementation, and international collaboration. Colleagues rely on him for translating cutting-edge science into production-ready systems that measurably improve forecast skill.
9 years of coding experience
21 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Atmospheric Sciences and Meteorology, Doctor of Philosophy (Ph.D.) Atmospheric Sciences and Meteorology at University of Illinois Urbana-ChampaignMaster's degree Atmospheric Physics and Dynamics, Master's degree Atmospheric Physics and Dynamics at Chinese Academy of SciencesBachelor's degree Meteorology, Bachelor's degree Meteorology at Chengdu University of Information Technology
English, Chinese
Github Skills (6)
fortran10
workflow-management10
bash10
parallel-computing10
gfs9
netcdf8
Programming languages (4)
Github contributions (5)
NOAA-EMC/global-workflow
Mar 2019 - Jul 2022
Global Superstructure/Workflow supporting the Global Forecast System (GFS)
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:18 reviews, 208 commits, 18 PRs in 3 years 4 months
Contributions summary:Fanglin implemented restart capabilities for long GFS forecast runs, allowing continuation from failure points. They modified scripts and configuration files to support this functionality, including automatic detection of cold, warm, and rerun start conditions. Additionally, they updated model tags and configuration files related to model resolution and I/O, including adapting to parallel netcdf settings, suggesting a focus on improving the workflow and ensuring the model runs smoothly, even through potential disruptions. Furthermore, the user updated several supporting scripts to enable the functionality within a large system.
gfsworkflowsupportingforecastgdas
yangfanglin/gfs_verif
Nov 2018 - Dec 2022
Contributions:89 commits, 76 pushes, 2 branches in 4 years 2 months
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