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

• Main Authors: B. S. Grandey, D. Rothenberg, A. Avramov, Q. Jin, H.-H. Lee, X. Liu, Z. Lu, S. Albani, C. Wang
• Format: Article
• Language: English
• Published: Copernicus Publications 2018-11-01
• Series: Atmospheric Chemistry and Physics
• Online Access: https://www.atmos-chem-phys.net/18/15783/2018/acp-18-15783-2018.pdf
• ISSN: 1680-7316; 1680-7324

<p>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is a new configuration of the Community Atmosphere Model version 5.3 (CAM5.3) in which the default aerosol module has been replaced by the two-Moment, Multi-Modal, Mixing-state-resolving Aerosol model for Research of Climate (MARC).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&thinsp;W&thinsp;m⁻², which is stronger than the global mean net ERF of −1.57±0.04&thinsp;W&thinsp;m⁻² produced by MAM3 and −1.53±0.04&thinsp;W&thinsp;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.</p>