Yue Ying
Researcher at Nansen Environmental and Remote Sensing Center (NERSC)
Bergen, Vestland, Norway
Summary
👤
Senior🎓
Top SchoolYue Ying is a researcher at NERSC with a decade of experience studying multiscale dynamical systems, tropical weather predictability, and data assimilation methods to push prediction limits. Trained at Peking University and with a PhD from Penn State, Yue refined ensemble Kalman filter implementations for mesoscale NWP and helped design more efficient, parallelized hybrid DA systems. As an NCAR postdoc they co-developed a multiscale data assimilation approach and contributed backend code to the widely used NCAR/DART project, adding new observation types and conversion tools. Based in Bergen, Norway, Yue blends rigorous theory with hands-on HPC and software engineering, often working at the intersection of algorithm development and production-ready code.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Meteorology, Doctor of Philosophy (PhD), Meteorology at Penn State UniversityMaster of Science (M.S.), Meteorology, Master of Science (M.S.), Meteorology at Peking University
Github Skills (3)
fortran10
netcdf8
python7
Programming languages (4)
Github contributions (5)
NCAR/DART
Mar 2020 - Apr 2020
Data Assimilation Research Testbed
Role in this project:
Back-end Developer / Data Engineer
Back-end Developer / Data EngineerContributions:6 commits, 3 PRs, 9 comments in 7 days
Contributions summary:Yue primarily contributed to the `DART` repository by adding and modifying code related to absolute humidity calculations and data conversion. This included defining a new observation type (MPD_ABSOLUTE_HUMIDITY) within the `DEFAULT_obs_kind_mod.F90` file and implementing a forward operator for it. Further contributions involved creating an `obs_converter` for the new observation type and adjusting the input file format.
assimilationtestbeddata-assimilation
nansencenter/NEDAS
Jan 2024 - Apr 2025
NERSC Ensemble Data Assimilation System
Contributions:1 release, 13 reviews, 19 PRs in 1 year 3 months
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