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GEOS-Chem

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GEOS-Chem
NameGEOS-Chem
DeveloperHarvard University, Massachusetts Institute of Technology, NASA Goddard
Initial release2001
Programming languageFortran, Python (tools)
Operating systemUnix-like, macOS, Linux
LicenseOpen-source (user license)

GEOS-Chem is a global three-dimensional model of atmospheric composition developed for research on tropospheric and stratospheric chemistry, aerosol processes, and radiative forcing. The model is widely used by scientists at institutions such as Harvard University, Massachusetts Institute of Technology, NASA, NOAA, and international research centers including Max Planck Institute for Chemistry, ETH Zurich, and University of Cambridge. GEOS-Chem supports studies that link observational programs like AIRS, MOPITT, OCO-2, and AERONET with field campaigns such as ACE-Asia, NASA INTEX, GAW monitoring, and satellite missions like Aura and Sentinel-5P.

Overview

GEOS-Chem simulates atmospheric distributions of trace gases and aerosols using state-of-the-art treatments drawn from work at NASA Goddard Space Flight Center, Harvard-Smithsonian Center for Astrophysics, and modelling groups at Imperial College London and University of California, Berkeley. The model has been applied to interrogate issues addressed by programs including IPCC assessments, the WMO Global Atmosphere Watch, and multinational efforts such as H2020 research projects and collaborations with agencies like ESA. Community contributions and intercomparison studies frequently involve networks such as WCRP, IGAC, and regional initiatives including AQMEII and HTAP.

Model Structure and Components

GEOS-Chem couples detailed chemical solvers with transport driven by meteorological fields from the NASA GEOS reanalysis and prediction systems, which are developed by NASA Goddard. The core code implements modules for advection, convection, boundary layer mixing, dry deposition, and wet scavenging, informed by parameterizations used at NCAR, ECMWF, and the GISS modeling effort. Aerosol microphysics schemes borrow formulations from research groups at Caltech, Scripps Institution of Oceanography, and University of Washington, while emission inventories integrated into the model include datasets from EDGAR, EPA (United States Environmental Protection Agency), ECLIPSE, and regional inventories maintained by China Meteorological Administration. GEOS-Chem supports nested grids for regional studies over domains covering North America, Europe, East Asia, and South Asia, enabling coupling to regional models such as CMAQ, WRF-Chem, and CHIMERE.

Chemical Mechanisms and Reaction Schemes

The model contains multiple chemical mechanisms to represent gas-phase, heterogeneous, and multiphase chemistry developed in collaboration with groups like Harvard University atmospheric chemistry teams, researchers at MIT, and the University of Colorado Boulder laboratories. Reaction schemes include explicit tropospheric oxidation cycles for volatile organic compounds derived from studies published in journals associated with AGU and ACS, inorganic nitrogen and sulfur chemistries used by IPCC model intercomparisons, and aerosol thermodynamics adapted from formulations validated by IAA (Institute of Atmospheric Chemistry) and groups at Pennsylvania State University. Mechanisms for secondary organic aerosol formation draw on laboratory and chamber studies conducted at Max Planck Institute for Chemistry, NOAA Earth System Research Laboratory, and University of Iowa research teams.

Meteorological Forcing and Data Assimilation

Meteorological forcing for GEOS-Chem is provided primarily by the NASA GEOS system and supplemental inputs from reanalysis products produced by ECMWF (ERA series) and NCEP datasets maintained by NOAA. Data assimilation and model-observation synthesis efforts have been conducted in partnership with satellite teams for MOPITT, TES, OMI, and TROPOMI, and with ground networks administered by AERONET, GMD (Global Monitoring Division), and national agencies such as USGS for land-surface characteristics. Techniques for assimilating concentrations, emissions, and meteorological fields build upon methods developed in the Data Assimilation Research Testbed at NCAR and assimilation frameworks used by JPL for atmospheric retrievals.

Applications and Scientific Contributions

GEOS-Chem has been used to quantify sources and sinks of greenhouse gases and short-lived climate forcers in studies cited by the IPCC and national assessments by EPA (United States Environmental Protection Agency), DEFRA, and China Meteorological Administration. Applications include attribution of pollution episodes examined during the Beijing Olympic Games studies, investigation of transboundary transport addressed in HTAP reports, and evaluation of radiative forcing contributions relevant to UNFCCC discussions. The model underpins peer-reviewed analyses in journals associated with AGU, American Meteorological Society, and Nature Publishing Group, informing policy-relevant assessments conducted by bodies such as WMO and UNEP.

Development, Community, and Software Implementation

GEOS-Chem is developed and maintained by an international community coordinated through workshops hosted at institutions including Harvard University, MIT, NASA Goddard, and collaborative meetings linked to IGAC and IGBP activities. The codebase is written primarily in Fortran with Python-based toolchains and postprocessing utilities contributed by groups at Carnegie Mellon University, University of Toronto, and Princeton University. Version control, issue tracking, and community support are organized through infrastructure similar to platforms used by projects at CERN and open-source communities managed by organizations like Apache Software Foundation. Training, tutorials, and user forums are run in partnership with programs from NOAA and university short courses drawing participants from WHO-affiliated air quality initiatives.

Category:Atmospheric chemistry models