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| Titel |
Assessing the CAM5 physics suite in the WRF-Chem model: implementation, resolution sensitivity, and a first evaluation for a regional case study |
| VerfasserIn |
P.-L. Ma, P. J. Rasch, J. D. Fast, R. C. Easter, W. I. Jr. Gustafson, X. Liu, S. J. Ghan, B. Singh |
| 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 ; 7, no. 3 ; Nr. 7, no. 3 (2014-05-06), S.755-778 |
| Datensatznummer |
250115614
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| Publikation (Nr.) |
 copernicus.org/gmd-7-755-2014.pdf |
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| Zusammenfassung |
A suite of physical parameterizations (deep and shallow convection, turbulent
boundary layer, aerosols, cloud microphysics, and cloud fraction) from the
global climate model Community Atmosphere Model version 5.1 (CAM5) has been
implemented in the regional model Weather Research and Forecasting with
chemistry (WRF-Chem). A downscaling modeling framework with consistent
physics has also been established in which both global and regional
simulations use the same emissions and surface fluxes. The WRF-Chem model
with the CAM5 physics suite is run at multiple horizontal resolutions over a
domain encompassing the northern Pacific Ocean, northeast Asia, and northwest
North America for April 2008 when the ARCTAS, ARCPAC, and ISDAC field
campaigns took place. These simulations are evaluated against field campaign
measurements, satellite retrievals, and ground-based observations, and are
compared with simulations that use a set of common WRF-Chem
parameterizations.
This manuscript describes the implementation of the CAM5 physics suite in
WRF-Chem, provides an overview of the modeling framework and an initial
evaluation of the simulated meteorology, clouds, and aerosols, and quantifies
the resolution dependence of the cloud and aerosol parameterizations. We
demonstrate that some of the CAM5 biases, such as high estimates of cloud
susceptibility to aerosols and the underestimation of aerosol concentrations
in the Arctic, can be reduced simply by increasing horizontal resolution. We
also show that the CAM5 physics suite performs similarly to a set of
parameterizations commonly used in WRF-Chem, but produces higher ice and
liquid water condensate amounts and near-surface black carbon concentration.
Further evaluations that use other mesoscale model parameterizations and
perform other case studies are needed to infer whether one parameterization
consistently produces results more consistent with observations. |
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