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dc.contributor.authorGrandey, Benjamin S.
dc.contributor.authorRothenberg, Daniel
dc.contributor.authorAvramov, Alexander
dc.contributor.authorJin, Qinjian
dc.contributor.authorLee, Hsiang-He
dc.contributor.authorLiu, Xiaohong
dc.contributor.authorLu, Zheng
dc.contributor.authorAlbani, Samuel
dc.contributor.authorWang, Chien
dc.date.accessioned2022-09-12T21:49:42Z
dc.date.available2022-09-12T21:49:42Z
dc.date.issued2018-11-02
dc.identifier.citationGrandey, B. S., Rothenberg, D., Avramov, A., Jin, Q., Lee, H.-H., Liu, X., Lu, Z., Albani, S., and Wang, C.: Effective radiative forcing in the aerosol–climate model CAM5.3-MARC-ARG, Atmos. Chem. Phys., 18, 15783–15810, https://doi.org/10.5194/acp-18-15783-2018, 2018.en_US
dc.identifier.urihttp://hdl.handle.net/1808/33451
dc.description.abstractAbstract We quantify the effective radiative forcing (ERF) of anthropogenic aerosols modelled by the aerosol–climate model CAM5.3-MARC-ARG. CAM5.3-MARC-ARG is a new configuration of the Community Atmosphere Model version 5.3 (CAM5.3) in which the default aerosol module has been replaced by the two-Moment, Multi-Modal, Mixing-state-resolving Aerosol model for Research of Climate (MARC). CAM5.3-MARC-ARG uses the ARG aerosol-activation scheme, consistent with the default configuration of CAM5.3. We compute differences between simulations using year-1850 aerosol emissions and simulations using year-2000 aerosol emissions in order to assess the radiative effects of anthropogenic aerosols. We compare the aerosol lifetimes, aerosol column burdens, cloud properties, and radiative effects produced by CAM5.3-MARC-ARG with those produced by the default configuration of CAM5.3, which uses the modal aerosol module with three log-normal modes (MAM3), and a configuration using the modal aerosol module with seven log-normal modes (MAM7). Compared with MAM3 and MAM7, we find that MARC produces stronger cooling via the direct radiative effect, the shortwave cloud radiative effect, and the surface albedo radiative effect; similarly, MARC produces stronger warming via the longwave cloud radiative effect. Overall, MARC produces a global mean net ERF of −1.79±0.03 W m−2, which is stronger than the global mean net ERF of −1.57±0.04 W m−2 produced by MAM3 and −1.53±0.04 W m−2 produced by MAM7. The regional distribution of ERF also differs between MARC and MAM3, largely due to differences in the regional distribution of the shortwave cloud radiative effect. We conclude that the specific representation of aerosols in global climate models, including aerosol mixing state, has important implications for climate modelling.en_US
dc.publisherEuropean Geosciences Unionen_US
dc.rights© Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.titleEffective radiative forcing in the aerosol–climate model CAM5.3-MARC-ARGen_US
dc.typeArticleen_US
kusw.kuauthorJin, Qinjian
kusw.kudepartmentGeography and Atmospheric Scienceen_US
dc.identifier.doi10.5194/acp-18-15783-2018en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1442-0906en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8270-4831en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8102-2871en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5140-7324en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-9736-5134en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-3979-4747en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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© Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.
Except where otherwise noted, this item's license is described as: © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.