Jonathan Guerrette
Atmospheric Scientist -- Numerical Modeling at Tomorrow.io
Denver Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Guerrette is an atmospheric scientist and numerical modeler with a decade of experience building and integrating data assimilation and chemistry capabilities into operational-scale weather and climate models. He has been a core developer on high-profile open-source projects such as MPAS and WRF, implementing multi-domain support, JEDI DA integration, and physics/chemistry enhancements that improve model interoperability and logging for complex workflows. At NCAR he led development of the MPAS-JEDI workflow and applied agile, automated-testing practices to enable inter-organizational co-development; he now brings that expertise to product-focused modeling at Tomorrow.io. His research blends algorithmic innovation—exploring scalable randomized and ensemble approaches to data assimilation—with practical engineering that delivers production-ready code. Jonathan’s background in mechanical engineering and hands-on experience from turbine testing to satellite materials gives him a rare mix of systems-level thinking and meticulous computational implementation. He is particularly skilled at turning advanced DA concepts into reproducible, open-source tools that bridge research and operational forecasting.
10 years of coding experience
5 years of employment as a software developer
M.S., Mechanical Engineering, M.S., Mechanical Engineering at Rochester Institute of TechnologyPhD, Mechanical Engineering, PhD, Mechanical Engineering at University of Colorado at Boulder
Github Skills (14)
nws10
fortran10
numerical10
modello10
numerical-methods10
weather10
numeric10
scientific-computing10
modeling10
file-handling8
file-processing8
fileio8
file-access8
logging7
Programming languages (6)
Github contributions (5)
wrf-model/WRF
Mar 2018 - Jul 2019
The official repository for the Weather Research and Forecasting (WRF) model
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 17 PRs, 9 pushes in 1 year 4 months
Contributions summary:Jonathan primarily focused on enhancing the WRF (Weather Research and Forecasting) model, with contributions including new feature implementations, bug fixes, and interface upgrades. Their work involved adding functionality related to ozone conversion within WRF-Chem, fixing issues related to cloud variable updates, and upgrading the WRFDA CRTM interface. Furthermore, the user addressed issues in BUFR files and added placeholder arrays.
forecastingmeteorologyclimateatmospheric-modellingmodel
MPAS-Dev/MPAS-Model
Oct 2018 - Nov 2020
Repository for MPAS models and shared framework releases.
Role in this project:Back-end Developer
Back-end DeveloperContributions:3 reviews, 8 commits, 9 PRs in 2 years 1 month
Contributions summary:Jonathan primarily contributed to the MPAS model's core atmosphere and physics components. Their work involved updating and refactoring core atmospheric routines to accommodate multiple domain instances. They integrated the JEDI DA package by adding necessary fields and associated logic, extending the model's functionality. Additionally, the user ensured proper file I/O unit selection and improved the logging system to differentiate domain instances within log files.
pythonmpas
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