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Thibaud Fritz

Contributions

During my time at MIT, I contributed to the GEOS-Chem chemistry transport model in various ways.

  • Coupling of CESM2 global climate model with the GEOS-Chem chemistry module (some more description here), allowing for a fair intercomparison between GEOS-Chem and the native CESM2 chemistry option, CAM-Chem. The most recent coupling interfaces can be found here.
  • Extension of the GEOS-Chem Adjoint to include stratospheric processes. I implemented the Unified Chemistry eXtension (UCX) in the GEOS-Chem Adjoint, unifying the tropospheric and stratospheric chemical representation under one common framework.
  • I am the original developer of the APCEMM aircraft plume model, which models the in-plume chemical and microphysical processes occuring in an aircraft wake. Some results can be found here.

Technologies & Tools

GitHub Stats

Martin's GitHub Stats

Thibaud Fritz's Projects

apcemm icon apcemm

Aircraft Plume Chemistry, Emissions, and Microphysics Model

cam icon cam

Community Atmosphere Model

cime icon cime

Common Infrastructure for Modeling the Earth

fritzt.github.io icon fritzt.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

gcgridobj icon gcgridobj

Python package for handling GEOS-Chem gridded data

gchp icon gchp

Repository for GEOS-Chem High Performance: software that enables running GEOS-Chem on a cubed-sphere grid with MPI parallelization.

gchpctm icon gchpctm

Wrapper for GEOS-Chem chemical-transport model to enable the high performance option (GCHP), versions 13.0.0 and above

geos-chem icon geos-chem

Source code repository for the GEOS-Chem model of atmospheric chemistry and composition.

hemco_cesm icon hemco_cesm

CESM/CAM interface to modular HEMCO chemistry emissions module

lsf_utils icon lsf_utils

LSF scripts, including bjobs2 -- bjobs plus additional output formatting and acct parsing

python-resmon icon python-resmon

A resource monitor that records resource usage (e.g., CPU usage, RAM usage and free, disk I/O count, NIC speed, etc.) and outputs the data in CSV format that is easy to post-process.

scimlbook icon scimlbook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

slurmmon icon slurmmon

gather and plot data about Slurm scheduling and job statistics

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