Raymond Menzel
Physical Scientist at NOAA: National Oceanic & Atmospheric Administration
New Jersey, United States
Summary
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Senior🎓
Top SchoolRaymond Menzel is a Physical Scientist with over a decade of experience building and modernizing high-performance scientific software for atmospheric and geophysical fluid dynamics and radiative transfer. He has led development of global-scale line-by-line radiative transfer frameworks and replaced legacy radiation schemes in climate models with industry-leading correlated k-distribution methods, delivering results that reproduce satellite-measured spectral radiative trends. Comfortable across multiple programming languages and parallel CPU/GPU supercomputing environments, he also modernized MPI and netCDF libraries and implemented source control and CI practices for complex model codebases. Based in New Jersey, he blends deep physics training (PhD, RPI) with pragmatic engineering, actively pursuing novel computational algorithms to accelerate climate science. An often-overlooked strength is his track record of unifying disparate models and tooling under scalable interfaces, enabling collaborative, reproducible international research efforts.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Rensselaer Polytechnic Institute
Github Skills (66)
fenics10
prediction-model10
forge10
infrastructure10
netcdf10
planetary10
siggraph10
atmospheric-modelling10
physics10
sphere10
geoscience10
modeling-tool10
fortran10
climate-science10
modeling10
Programming languages (4)
Github contributions (5)
GRIPS-code/pyLBL
Mar 2021 - Feb 2023
Python line-by-line radiative transfer model
Contributions:2 releases, 95 commits, 6 PRs in 1 year 11 months
pythonstyle-transferradiative-transfersiggraphgenerative-models
NOAA-GFDL/rte-rrtmgp
May 2020 - May 2024
RTE+RRTMGP is a set of codes for computing radiative fluxes in planetary atmospheres.
Contributions:2 PRs, 7 pushes, 1 branch in 4 years 1 month
planetaryfluxesatmospheressimulationrte
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