Ligia Bernardet
Chief Of The Earth Prediction Advancement Division Of The NOAA Global Systems Laboratory
Boulder, Colorado, United States
Summary
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Senior🎓
Top SchoolLigia Bernardet is a leader in numerical Earth system prediction with over two decades of experience advancing models that span local to global scales and hourly to seasonal forecasts. As Chief of the Earth Prediction Advancement Division at NOAA GSL, she combines deep expertise in atmospheric physics, composition, and coupled system interactions with a passion for bridging research and operations to accelerate innovations into operational forecasting. She has steered major community-facing efforts—leading the Developmental Testbed Center’s hurricane and global model testbeds and coordinating experimental ensembles used by forecasters and researchers. Known for building mechanisms that engage academia with NOAA models, she fosters collaboration that improves model physics, chemistry, and end-to-end evaluation. Based in Boulder with a Ph.D. in Atmospheric Sciences, she brings both hands-on scientific leadership and a talent for turning community-driven science into operational value.
8 years of coding experience
17 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 Colorado State UniversityMasters, Atmospheric Sciences and Meteorology, Masters, Atmospheric Sciences and Meteorology at Universidade de São Paulo / USP
Portuguese
Github Skills (41)
prediction-model10
atmosphere10
openweathermap10
weather10
physics10
noaa10
weather-data10
gfs9
grib9
nodejs9
react9
medium9
ufs9
ats8
jedi8
Programming languages (4)
Github contributions (5)
NCAR/ccpp-doc
Sep 2019 - Sep 2024
Contributions:58 reviews, 5 PRs, 1 push in 5 years
physicstechnical-documentation
ligiabernardet/ufs-mrweather-app
Dec 2019 - Oct 2020
UFS Medium-Range Weather Application
Contributions:4 releases, 41 pushes, 5 branches in 9 months
rangemediumufsweather-application
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