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Grid-Stretching Capability for the GEOS-Chem 13.0.0 Atmospheric Chemistry ModelModeling atmospheric chemistry at fine resolution globally is computationally expensive; the capability to focus on specific geographic regions using a multi scale grid is desirable. Here, we develop, validate, and demonstrate stretched grids in the GEOS-Chem atmospheric chemistry model in its high-performance implementation (GCHP). These multiscale grids are specified at runtime by four parameters that offer users nimble control of the region that is refined and the resolution of the refinement. We validate the stretched-grid simulation versus global cubed-sphere simulations. We demonstrate the operation and flexibility of stretched-grid simulations with two case studies that compare simulated tropospheric NO2column densities from stretched-grid and cubed-sphere simulations to retrieved column densities from the TROPOspheric Monitoring Instrument (TROPOMI). The first case study uses a stretched grid with a broad refinement covering the contiguous US to produces imulated columns that perform similarly to a C180 (∼50 km) cubed-sphere simulation at less than one-ninth the computational expense. The second case study experiments with a large stretch-factor for a global stretched-grid simulation with a highly localized refinement with∼10 km resolution for California. We find that the refinement improves spatial agreement with TROPOMI columns compared to a C90 cubed-sphere simulation of comparable computational demands. Overall we find that stretched grids in GEOS-Chem are a practical tool for fine resolution regional- or continental-scale simulations of atmospheric chemistry. Stretched grids are available in GEOS-Chem version 13.0.0
Document ID
20210015031
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Liam Bindle
(Washington University in St. Louis St Louis, Missouri, United States)
Randall Vaughn Martin
(Washington University in St. Louis St Louis, Missouri, United States)
Matthew J. Cooper
(Dalhousie University Halifax, Nova Scotia, Canada)
Elizabeth W. Lundgren
(Harvard University Cambridge, Massachusetts, United States)
Sebastian D. Eastham
(Massachusetts Institute of Technology Cambridge, Massachusetts, United States)
Benjamin Michael Auer
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Thomas L. Clune
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Hongjian Weng
(Peking University Beijing, Beijing, China)
Jintai Lin
(Peking University Beijing, Beijing, China)
Lee T. Murray
(University of Rochester Rochester, New York, United States)
Jun Meng
(Dalhousie University Halifax, Nova Scotia, Canada)
Christoph A. Keller
(Universities Space Research Association Columbia, Maryland, United States)
William M. Putman
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Steven Pawson
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Daniel J. Jacob
(Harvard University Cambridge, Massachusetts, United States)
Date Acquired
May 3, 2021
Publication Date
October 25, 2021
Publication Information
Publication: Geoscientific Model Development
Publisher: European Geosciences Union / Copernicus Publications for European Geosciences Union
Volume: 14
Issue: 10
Issue Publication Date: October 6, 2021
ISSN: 1991-959X
e-ISSN: 1991-9603
Subject Category
Geophysics
Funding Number(s)
CONTRACT_GRANT: NNG11HP16A
WBS: 430728.02.13.02.03
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
Professional Review
Keywords
GEOS-Chem
Atmospheric Chemistry Model
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