Improved 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. 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

doi:10.5194/gmd-15-8731-2022

Geoscientific Model Development (Dec 2022)

Improved 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. 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

Affiliations

R. V. Martin: Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
S. D. Eastham: Laboratory for Aviation and the Environment, Massachusetts Institute of Technology, Cambridge, MA, USA
L. Bindle: Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
E. W. Lundgren: John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
T. L. Clune: Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
C. A. Keller: Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
C. A. Keller: Goddard Earth Science Technology & Research (GESTAR), Universities Space Research Association, Columbia, MD, USA
C. A. Keller: now at: Goddard Earth Science Technology & Research II (GESTAR-II), Morgan State University, Baltimore, MD, USA
W. Downs: John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
W. Downs: now at: Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL, USA
D. Zhang: Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
R. A. Lucchesi: Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
M. P. Sulprizio: John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
R. M. Yantosca: John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Y. Li: Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
L. Estrada: John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
W. M. Putman: Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
B. M. Auer: Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
A. L. Trayanov: Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
S. Pawson: Goddard Earth Science Technology & Research (GESTAR), Universities Space Research Association, Columbia, MD, USA
D. J. Jacob: John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA

DOI: https://doi.org/10.5194/gmd-15-8731-2022
Journal volume & issue: Vol. 15
pp. 8731 – 8748

Abstract

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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 (∼ 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 (∼ 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 NO2 columns nearly twice those at a common resolution of 2∘ × 2.5∘.

Published in Geoscientific Model Development

ISSN: 1991-959X (Print); 1991-9603 (Online)
Publisher: Copernicus Publications
Country of publisher: Germany
LCC subjects: Science: Geology
Website: https://www.geoscientific-model-development.net/

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