TY - JOUR
T1 - Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP)
AU - Martin, Randall V.
AU - Eastham, Sebastian D.
AU - Bindle, Liam
AU - Lundgren, Elizabeth W.
AU - Clune, Thomas L.
AU - Keller, Christoph A.
AU - Downs, William
AU - Zhang, Dandan
AU - Lucchesi, Robert A.
AU - Sulprizio, Melissa P.
AU - Yantosca, Robert M.
AU - Li, Yanshun
AU - Estrada, Lucas
AU - Putman, William M.
AU - Auer, Benjamin M.
AU - Trayanov, Atanas L.
AU - Pawson, Steven
AU - Jacob, Daniel J.
N1 - Publisher Copyright:
© 2022 Randall V. Martin et al.
PY - 2022/12/1
Y1 - 2022/12/1
N2 - 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 (g1/412km), (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 (g1/450km) 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.
AB - 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 (g1/412km), (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 (g1/450km) 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.
UR - https://www.scopus.com/pages/publications/85144439095
U2 - 10.5194/gmd-15-8731-2022
DO - 10.5194/gmd-15-8731-2022
M3 - Article
AN - SCOPUS:85144439095
SN - 1991-959X
VL - 15
SP - 8731
EP - 8748
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 23
ER -