Zhuxiao Li
Associate Scientist
Louisville, Colorado, United States
Summary
👤
Senior🎓
Top SchoolZhuxiao Li is an Associate Scientist with nine years of experience at NCAR and a PhD in Atmospheric Sciences from Hokkaido University, specializing in convection parameterization for climate models. He has driven measurable improvements in CAM by redesigning deep convection trigger functions from CAPE- to CIN-based approaches and tuning convective relaxation times to reduce grid-size sensitivity in spectral element regional refinement runs. His work blends high-resolution WRF diagnostics with statistical and algorithmic analysis of large datasets to better align modeled precipitation with observations. Based in Louisville, Colorado, he pairs rigorous academic insight with hands-on model development, bringing both theoretical depth and practical solutions to challenges in climate model physics. An often-overlooked strength is his ability to translate detailed process-level diagnostics into scalable parameterization changes that improve model fidelity across resolutions.
9 years of coding experience
Ph.D, Atmospheric Sciences and Meteorology, Ph.D, Atmospheric Sciences and Meteorology at Hokkaido University
Github Skills (9)
atmosphere8
gfs7
hydrodynamics3
gamma2
benchmarking2
reinforcement-learning1
pytorch1
stable-baselines1
deep-reinforcement-learning1
Programming languages (3)
Github contributions (5)
NOAA-SWPC/WAM
Nov 2019 - Apr 2023
Whole Atmosphere Model extension of the GFS
Contributions:1 review, 1 PR, 3 pushes in 3 years 4 months
atmosphere-modelgfsatmosphere
NOAA-SWPC/WAM-IPE
Sep 2017 - Nov 2019
Contributions:14 PRs, 19 pushes, 22 branches in 2 years 2 months
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