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Chemical Mechanisms and their Applications in the Goddard Earth Observing System (GEOS) Earth System ModelNASA's Goddard Earth Observing System (GEOS) Earth System Model (ESM) is a modular, general circulation model (GCM) and data assimilation system (DAS) that is used to simulate and study the coupled dynamics, physics, chemistry, and biology of our planet. GEOS is developed by the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center. It generates near-real-time analyzed data products, reanalyses, and weather and seasonal forecasts to support research targeted to understanding interactions among Earth-System processes. For chemistry, our efforts are focused on ozone and its influence on the state of the atmosphere and oceans, and on trace-gas data assimilation and global forecasting at mesoscale discretization. Several chemistry and aerosol modules are coupled to the GCM, which enables GEOS to address topics pertinent to NASA's Earth Science Mission. This manuscript describes the atmospheric chemistry components of GEOS and provides an overview of its Earth System Modeling Framework (ESMF)-based software infrastructure, which promotes a rich spectrum of feedbacks that influence circulation and climate, and impact human and ecosystem health. We detail how GEOS allows model users to select chemical mechanisms and emission scenarios at run time, establish the extent to which the aerosol and chemical components communicate, and decide whether either or both influence the radiative transfer calculations. A variety of resolutions facilitates research on spatial and temporal scales relevant to problems ranging from hourly changes in air quality to trace gas trends in a changing climate. Samples of recent GEOS chemistry applications are provided.
Document ID
20170011457
Document Type
Accepted Manuscript (Version with final changes)
External Source(s)
Authors
Nielsen, J. Eric
(Science Systems and Applications, Inc. Lanham, MD, United States)
Pawson, Steven
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Molod, Andrea M.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Auer, Benjamin
(Science Systems and Applications, Inc. Lanham, MD, United States)
Da Silva, Arlindo M.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Douglass, Anne R.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Duncan, Bryan
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Liang, Qing
(Universities Space Research Association Columbia, MD, United States)
Manyin, Michael
(Science Systems and Applications, Inc. Lanham, MD, United States)
Oman, Luke D.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Putman, William
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Strahan, Susan E.
(Universities Space Research Association Columbia, MD, United States)
Wargan, Krzysztof
(Science Systems and Applications, Inc. Lanham, MD, United States)
Date Acquired
December 1, 2017
Publication Date
November 30, 2017
Publication Information
Publication: Journal of Advances in Modeling Earth Systems
Volume: 9
Issue: 8
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN49751
Funding Number(s)
CONTRACT_GRANT: NNG17HP01C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
MAPL
GEO

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