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| Titel |
Development of a grid-independent GEOS-Chem chemical transport model (v9-02) as an atmospheric chemistry module for Earth system models |
| VerfasserIn |
M. S. Long, R. Yantosca, J. E. Nielsen, C. A. Keller, A. da Silva, M. P. Sulprizio, S. Pawson, D. J. Jacob |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 3 ; Nr. 8, no. 3 (2015-03-13), S.595-602 |
| Datensatznummer |
250116178
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| Publikation (Nr.) |
 copernicus.org/gmd-8-595-2015.pdf |
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| Zusammenfassung |
| The GEOS-Chem global chemical transport model (CTM), used by a large
atmospheric chemistry research community, has been re-engineered to also
serve as an atmospheric chemistry module for Earth system models (ESMs).
This was done using an Earth System Modeling Framework (ESMF) interface
that operates independently of the GEOS-Chem scientific code, permitting the
exact same GEOS-Chem code to be used as an ESM module or as a stand-alone
CTM. In this manner, the continual stream of updates contributed by the CTM
user community is automatically passed on to the ESM module, which remains
state of science and referenced to the latest version of the standard
GEOS-Chem CTM. A major step in this re-engineering was to make GEOS-Chem
grid independent, i.e., capable of using any geophysical grid specified at
run time. GEOS-Chem data sockets were also created for communication
between modules and with external ESM code. The grid-independent,
ESMF-compatible GEOS-Chem is now the standard version of the GEOS-Chem CTM.
It has been implemented as an atmospheric chemistry module into the NASA
GEOS-5 ESM. The coupled GEOS-5–GEOS-Chem system was tested for scalability
and performance with a tropospheric oxidant-aerosol simulation (120 coupled
species, 66 transported tracers) using 48–240 cores and message-passing
interface (MPI)
distributed-memory parallelization. Numerical experiments demonstrate that
the GEOS-Chem chemistry module scales efficiently for the number of cores
tested, with no degradation as the number of cores increases. Although
inclusion of atmospheric chemistry in ESMs is computationally expensive, the
excellent scalability of the chemistry module means that the relative cost
goes down with increasing number of cores in a massively parallel
environment. |
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