The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): overview and description of models, simulations and climate diagnostics

The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): overview and description of models, simulations and climate diagnostics
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DOI:
10.5194/gmd-6-179-2013
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发表时间:
2013-01-01
影响因子:
5.1
通讯作者:
Zeng, G.
Zeng, G.
中科院分区:
地球科学2区
文献类型:
--
作者:
Lamarque, J. -F.;Shindell, D. T.;Zeng, G.

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大气化学和气候模式相互比较项目(ACCMIP)包括一系列针对1850年至2100年大气成分长期变化的时间片实验,目的是记录成分变化和相关的辐射强迫。在这篇概述性的论文中,我们介绍了ACCMIP活动,执行的各种模拟(要求设置14个)和相关的模型输出。16个ACCMIP模型具有广泛的水平和垂直分辨率,垂直范围,化学方案以及与辐射和云的相互作用。虽然ACCMIP议定书中规定了所有时间段的人为和生物质燃烧排放量,但发现自然排放量在各种模型中的范围很大,主要是臭氧前体。对选定的当今气候诊断(降水、温度、比湿度和纬向风)的分析显示出与最先进的气候模型一致的偏差。对1850年至2000年以及2000年至2100年之间的温度、比湿和纬向风变化的模式间比较表明,结果基本一致。然而,明显异常值的模型与其他模型的差异足以显着影响其对大气化学的模拟。
The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) consists of a series of time slice experiments targeting the long-term changes in atmospheric composition between 1850 and 2100, with the goal of documenting composition changes and the associated radiative forcing. In this overview paper, we introduce the ACCMIP activity, the various simulations performed (with a requested set of 14) and the associated model output. The 16 ACCMIP models have a wide range of horizontal and vertical resolutions, vertical extent, chemistry schemes and[GRAPHICA]interaction with radiation and clouds. While anthropogenic and biomass burning emissions were specified for all time slices in the ACCMIP protocol, it is found that the natural emissions are responsible for a significant range across models, mostly in the case of ozone precursors. The analysis of selected present-day climate diagnostics (precipitation, temperature, specific humidity and zonal wind) reveals biases consistent with state-of-the-art climate models. The model-to-model comparison of changes in temperature, specific humidity and zonal wind between 1850 and 2000 and between 2000 and 2100 indicates mostly consistent results. However, models that are clear outliers are different enough from the other models to significantly affect their simulation of atmospheric chemistry.