Assessing the CAM5 Physics Suite in the WRF-Chem Mode: Implementation, Resolution Sensitivity, and a First Evaluation for a Regional Case Study
©2014 Author(s). CC Attribution 3.0 License. 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 regiona...
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ftcolostateunidc:oai:mountainscholar.org:20.500.11919/688 2023-05-15T15:15:20+02:00 Assessing the CAM5 Physics Suite in the WRF-Chem Mode: Implementation, Resolution Sensitivity, and a First Evaluation for a Regional Case Study Ma, P.-L. Rasch, P. J. Fast, J. D. Easter, R. C. Gustafson, W. I., Jr. Liu, Xiaohong Ghan, S. J. Singh, B. 2014-05-06 application/pdf https://hdl.handle.net/20.500.11919/688 https://doi.org/10.5194/gmd-7-755-2014 English eng eng University of Wyoming. Libraries Faculty Publications - Atmospheric Science https://hdl.handle.net/20.500.11919/688 doi:10.5194/gmd-7-755-2014 http://creativecommons.org/licenses/by/3.0/ CC-BY Atmospheric Science Faculty Publications black carbon ground-based measurement implementation process parameterization regional climate spatiotemporal analysis North America Northeast Asia Pacific Ocean Pacific Ocean (North) Engineering Journal contribution 2014 ftcolostateunidc https://doi.org/20.500.11919/688 https://doi.org/10.5194/gmd-7-755-2014 2021-07-14T20:09:44Z ©2014 Author(s). CC Attribution 3.0 License. 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. Other Non-Article Part of Journal/Newspaper Arctic black carbon Digital Collections of Colorado (Colorado State University) Arctic Pacific Geoscientific Model Development 7 3 755 778 |
institution |
Open Polar |
collection |
Digital Collections of Colorado (Colorado State University) |
op_collection_id |
ftcolostateunidc |
language |
English |
topic |
black carbon ground-based measurement implementation process parameterization regional climate spatiotemporal analysis North America Northeast Asia Pacific Ocean Pacific Ocean (North) Engineering |
spellingShingle |
black carbon ground-based measurement implementation process parameterization regional climate spatiotemporal analysis North America Northeast Asia Pacific Ocean Pacific Ocean (North) Engineering Ma, P.-L. Rasch, P. J. Fast, J. D. Easter, R. C. Gustafson, W. I., Jr. Liu, Xiaohong Ghan, S. J. Singh, B. Assessing the CAM5 Physics Suite in the WRF-Chem Mode: Implementation, Resolution Sensitivity, and a First Evaluation for a Regional Case Study |
topic_facet |
black carbon ground-based measurement implementation process parameterization regional climate spatiotemporal analysis North America Northeast Asia Pacific Ocean Pacific Ocean (North) Engineering |
description |
©2014 Author(s). CC Attribution 3.0 License. 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. |
format |
Other Non-Article Part of Journal/Newspaper |
author |
Ma, P.-L. Rasch, P. J. Fast, J. D. Easter, R. C. Gustafson, W. I., Jr. Liu, Xiaohong Ghan, S. J. Singh, B. |
author_facet |
Ma, P.-L. Rasch, P. J. Fast, J. D. Easter, R. C. Gustafson, W. I., Jr. Liu, Xiaohong Ghan, S. J. Singh, B. |
author_sort |
Ma, P.-L. |
title |
Assessing the CAM5 Physics Suite in the WRF-Chem Mode: Implementation, Resolution Sensitivity, and a First Evaluation for a Regional Case Study |
title_short |
Assessing the CAM5 Physics Suite in the WRF-Chem Mode: Implementation, Resolution Sensitivity, and a First Evaluation for a Regional Case Study |
title_full |
Assessing the CAM5 Physics Suite in the WRF-Chem Mode: Implementation, Resolution Sensitivity, and a First Evaluation for a Regional Case Study |
title_fullStr |
Assessing the CAM5 Physics Suite in the WRF-Chem Mode: Implementation, Resolution Sensitivity, and a First Evaluation for a Regional Case Study |
title_full_unstemmed |
Assessing the CAM5 Physics Suite in the WRF-Chem Mode: Implementation, Resolution Sensitivity, and a First Evaluation for a Regional Case Study |
title_sort |
assessing the cam5 physics suite in the wrf-chem mode: implementation, resolution sensitivity, and a first evaluation for a regional case study |
publisher |
University of Wyoming. Libraries |
publishDate |
2014 |
url |
https://hdl.handle.net/20.500.11919/688 https://doi.org/10.5194/gmd-7-755-2014 |
geographic |
Arctic Pacific |
geographic_facet |
Arctic Pacific |
genre |
Arctic black carbon |
genre_facet |
Arctic black carbon |
op_source |
Atmospheric Science Faculty Publications |
op_relation |
Faculty Publications - Atmospheric Science https://hdl.handle.net/20.500.11919/688 doi:10.5194/gmd-7-755-2014 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/20.500.11919/688 https://doi.org/10.5194/gmd-7-755-2014 |
container_title |
Geoscientific Model Development |
container_volume |
7 |
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3 |
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755 |
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778 |
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1766345699234938880 |