Effective radiative forcing in the aerosol–climate model CAM5.3-MARC-ARG

Grandey, Benjamin S.; Rothenberg, Daniel; Avramov, Alexander; Jin, Qinjian; Lee, Hsiang-He; Liu, Xiaohong; Lu, Zheng; Albani, Samuel; Wang, Chien

doi:10.5194/acp-18-15783-2018

Title: Effective radiative forcing in the aerosol–climate model CAM5.3-MARC-ARG

Journal Article · Fri Nov 02 00:00:00 EDT 2018 · Atmospheric Chemistry and Physics (Online)

DOI:https://doi.org/10.5194/acp-18-15783-2018· OSTI ID:1610278

^[1];

^[1]; Avramov, Alexander ^[2];

^[1];

^[1]; Liu, Xiaohong ^[3]; Lu, Zheng ^[3]; Albani, Samuel ^[4];

^[1]

Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Emory Univ., Atlanta, GA (United States)
Univ. of Wyoming, Laramie, WY (United States)
Cornell Univ., Ithaca, NY (United States); Lab. des Sciences du Climat et de l’Environnemen, Gif-sur-Yvette (France)

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is a new configuration of the Community Atmosphere Model version 5.3 (CAM5.3) in which the default aerosol module has been replaced by the two-Moment, Multi-Modal, Mixing-state-resolving Aerosol model for Research of Climate (MARC).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 $- 1.79 \pm 0.03$ W m^-2, which is stronger than the global mean net ERF of $- 1.57 \pm 0.04$ W m^-2 produced by MAM3 and $- 1.53 \pm 0.04$ 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.

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Research Organization:: Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: FG02-94ER61937

OSTI ID:: 1610278

Journal Information:: Atmospheric Chemistry and Physics (Online), Vol. 18, Issue 21; ISSN 1680-7324

Publisher:: European Geosciences UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 11 works

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