Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)
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...
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Published in: | Geoscientific Model Development 2022-12, Vol.15 (23), p.8731-8748 |
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Main Authors: | , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
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Online Access: | Get full text |
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Summary: | 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∘. |
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ISSN: | 1991-9603 1991-962X 1991-959X 1991-9603 1991-962X |
DOI: | 10.5194/gmd-15-8731-2022 |