标题： 气溶胶-气候模型CAM5.3-MARC-ARG的有效辐射强迫 显示英文标题

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

摘要： 我们量化了由气溶胶-气候模型CAM5.3-MARC-ARG模拟的人为气溶胶的有效辐射强迫（ERF）。CAM5.3-MARC-ARG是社区大气模型第5.3版（CAM5.3）的一个新配置，其中默认的气溶胶模块已被用于气候研究的两模式、多模态、混合状态解析气溶胶模型（MARC）所取代。CAM5.3-MARC-ARG使用默认的ARG气溶胶激活方案，与CAM5.3的默认配置一致。我们计算了使用1850年气溶胶排放的模拟与使用2000年气溶胶排放的模拟之间的差异，以评估人为气溶胶的辐射效应。我们将CAM5.3-MARC-ARG产生的气溶胶柱载荷、云特性及辐射效应与CAM5.3默认配置所产生的结果进行比较，CAM5.3默认配置使用的是具有三个对数正态模式的模态气溶胶模块（MAM3）。与MAM3相比，我们发现MARC通过直接辐射效应产生更强的冷却作用，通过地表反照率辐射效应产生更强的冷却作用，并通过云长波辐射效应产生更强的变暖作用。MARC和MAM3之间的全球平均云短波辐射效应相似，尽管区域分布不同。总体而言，MARC产生的全球平均净ERF为-1.75$\pm$0.04 W m$^{-2}$，比MAM3产生的全球平均净ERF -1.57$\pm$0.04 W m$^{-2}$更强。ERF的区域分布在MARC和MAM3之间也有所不同，这主要是由于云短波辐射效应的区域分布差异所致。我们得出结论，全球气候模型中气溶胶的具体表示，包括气溶胶混合状态，对气候建模有重要的影响。 显示英文摘要

摘要： 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is a new configuration of the Community Atmosphere Model version 5.3 (CAM5.3) in which the default aerosol module has been replaced by the two-Moment, Multi-Modal, Mixing-state-resolving Aerosol model for Research of Climate (MARC).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 default 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 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). Compared with MAM3, we find that MARC produces stronger cooling via the direct radiative effect, stronger cooling via the surface albedo radiative effect, and stronger warming via the cloud longwave radiative effect. The global mean cloud shortwave radiative effect is similar between MARC and MAM3, although the regional distributions differ. Overall, MARC produces a global mean net ERF of -1.75$\pm$0.04 W m$^{-2}$, which is stronger than the global mean net ERF of -1.57$\pm$0.04 W m$^{-2}$ produced by MAM3. The regional distribution of ERF also differs between MARC and MAM3, largely due to differences in the regional distribution of the cloud shortwave radiative effect. We conclude that the specific representation of aerosols in global climate models, including aerosol mixing state, has important implications for climate modelling.