Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)

<p>We describe a new generation of the high-performance GEOS-Chem (GCHP) global model of atmospheric composition developed as part of the GEOS-Chem version 13 series. GEOS-Chem is an open-source grid-independent model that can be used online within a meteorological simulation or offline using...

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Main Authors: R. V. Martin, S. D. Eastham, L. Bindle, E. W. Lundgren, T. L. Clune, C. A. Keller, W. Downs, D. Zhang, R. A. Lucchesi, M. P. Sulprizio, R. M. Yantosca, Y. Li, L. Estrada, W. M. Putman, B. M. Auer, A. L. Trayanov, S. Pawson, D. J. Jacob
Format: Article
Language:English
Published: Copernicus Publications 2022-12-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/15/8731/2022/gmd-15-8731-2022.pdf
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author R. V. Martin
S. D. Eastham
L. Bindle
E. W. Lundgren
T. L. Clune
C. A. Keller
C. A. Keller
C. A. Keller
W. Downs
W. Downs
D. Zhang
R. A. Lucchesi
M. P. Sulprizio
R. M. Yantosca
Y. Li
L. Estrada
W. M. Putman
B. M. Auer
A. L. Trayanov
S. Pawson
D. J. Jacob
author_facet R. V. Martin
S. D. Eastham
L. Bindle
E. W. Lundgren
T. L. Clune
C. A. Keller
C. A. Keller
C. A. Keller
W. Downs
W. Downs
D. Zhang
R. A. Lucchesi
M. P. Sulprizio
R. M. Yantosca
Y. Li
L. Estrada
W. M. Putman
B. M. Auer
A. L. Trayanov
S. Pawson
D. J. Jacob
author_sort R. V. Martin
collection DOAJ
description <p>We describe a new generation of the high-performance GEOS-Chem (GCHP) global model of atmospheric composition developed as part of the GEOS-Chem version 13 series. GEOS-Chem is an open-source grid-independent model that can be used online within a meteorological simulation or offline using archived meteorological data. GCHP is an offline implementation of GEOS-Chem driven by NASA Goddard Earth Observing System (GEOS) meteorological data for massively parallel simulations. Version 13 offers major advances in GCHP for ease of use, computational performance, versatility, resolution, and accuracy. Specific improvements include (i) stretched-grid capability for higher resolution in user-selected regions, (ii) more accurate transport with new native cubed-sphere GEOS meteorological archives including air mass fluxes at hourly temporal resolution with spatial resolution up to C720 (<span class="inline-formula">∼</span> 12 km), (iii) easier build with a build system generator (CMake) and a package manager (Spack), (iv) software containers to enable immediate model download and configuration on local computing clusters, (v) better parallelization to enable simulation on thousands of cores, and (vi) multi-node cloud capability. The C720 data are now part of the operational GEOS forward processing (GEOS-FP) output stream, and a C180 (<span class="inline-formula">∼</span> 50 km) consistent archive for 1998–present is now being generated as part of a new GEOS-IT data stream. Both of these data streams are continuously being archived by the GEOS-Chem Support Team for access by GCHP users. Directly using horizontal air mass fluxes rather than inferring from wind data significantly reduces global mean error in calculated surface pressure and vertical advection. A technical performance demonstration at C720 illustrates an attribute of high resolution with population-weighted tropospheric NO<span class="inline-formula"><sub>2</sub></span> columns nearly twice those at a common resolution of 2<span class="inline-formula"><sup>∘</sup></span> <span class="inline-formula">×</span> 2.5<span class="inline-formula"><sup>∘</sup></span>.</p>
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spelling doaj.art-ca13a85666b94a268146e2adab775db12022-12-22T02:45:22ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032022-12-01158731874810.5194/gmd-15-8731-2022Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)R. V. Martin0S. D. Eastham1L. Bindle2E. W. Lundgren3T. L. Clune4C. A. Keller5C. A. Keller6C. A. Keller7W. Downs8W. Downs9D. Zhang10R. A. Lucchesi11M. P. Sulprizio12R. M. Yantosca13Y. Li14L. Estrada15W. M. Putman16B. M. Auer17A. L. Trayanov18S. Pawson19D. J. Jacob20Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USALaboratory for Aviation and the Environment, Massachusetts Institute of Technology, Cambridge, MA, USADepartment of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USAJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USAGlobal Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USAGlobal Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USAGoddard Earth Science Technology & Research (GESTAR), Universities Space Research Association, Columbia, MD, USAnow at: Goddard Earth Science Technology & Research II (GESTAR-II), Morgan State University, Baltimore, MD, USAJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USAnow at: Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL, USADepartment of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USAGlobal Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USAJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USAJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USADepartment of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USAJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USAGlobal Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USAGlobal Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USAGlobal Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USAGoddard Earth Science Technology & Research (GESTAR), Universities Space Research Association, Columbia, MD, USAJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA<p>We describe a new generation of the high-performance GEOS-Chem (GCHP) global model of atmospheric composition developed as part of the GEOS-Chem version 13 series. GEOS-Chem is an open-source grid-independent model that can be used online within a meteorological simulation or offline using archived meteorological data. GCHP is an offline implementation of GEOS-Chem driven by NASA Goddard Earth Observing System (GEOS) meteorological data for massively parallel simulations. Version 13 offers major advances in GCHP for ease of use, computational performance, versatility, resolution, and accuracy. Specific improvements include (i) stretched-grid capability for higher resolution in user-selected regions, (ii) more accurate transport with new native cubed-sphere GEOS meteorological archives including air mass fluxes at hourly temporal resolution with spatial resolution up to C720 (<span class="inline-formula">∼</span> 12 km), (iii) easier build with a build system generator (CMake) and a package manager (Spack), (iv) software containers to enable immediate model download and configuration on local computing clusters, (v) better parallelization to enable simulation on thousands of cores, and (vi) multi-node cloud capability. The C720 data are now part of the operational GEOS forward processing (GEOS-FP) output stream, and a C180 (<span class="inline-formula">∼</span> 50 km) consistent archive for 1998–present is now being generated as part of a new GEOS-IT data stream. Both of these data streams are continuously being archived by the GEOS-Chem Support Team for access by GCHP users. Directly using horizontal air mass fluxes rather than inferring from wind data significantly reduces global mean error in calculated surface pressure and vertical advection. A technical performance demonstration at C720 illustrates an attribute of high resolution with population-weighted tropospheric NO<span class="inline-formula"><sub>2</sub></span> columns nearly twice those at a common resolution of 2<span class="inline-formula"><sup>∘</sup></span> <span class="inline-formula">×</span> 2.5<span class="inline-formula"><sup>∘</sup></span>.</p>https://gmd.copernicus.org/articles/15/8731/2022/gmd-15-8731-2022.pdf
spellingShingle R. V. Martin
S. D. Eastham
L. Bindle
E. W. Lundgren
T. L. Clune
C. A. Keller
C. A. Keller
C. A. Keller
W. Downs
W. Downs
D. Zhang
R. A. Lucchesi
M. P. Sulprizio
R. M. Yantosca
Y. Li
L. Estrada
W. M. Putman
B. M. Auer
A. L. Trayanov
S. Pawson
D. J. Jacob
Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)
Geoscientific Model Development
title Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)
title_full Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)
title_fullStr Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)
title_full_unstemmed Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)
title_short Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)
title_sort improved advection resolution performance and community access in the new generation version 13 of the high performance geos chem global atmospheric chemistry model gchp
url https://gmd.copernicus.org/articles/15/8731/2022/gmd-15-8731-2022.pdf
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