气候变化领域集成服务门户(CCPortal): Assessing the potential for simplification in global climate model cloud microphysics

CCPortal

DOI	10.5194/acp-22-4737-2022
	Assessing the potential for simplification in global climate model cloud microphysics
	Proske, Ulrike; Ferrachat, Sylvaine; Neubauer, David; Staab, Martin; Lohmann, Ulrike
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	4737
结束页码	4762
卷号	22 期号:7 页码:26
英文摘要	Cloud properties and their evolution influence Earth's radiative balance. The cloud microphysical (CMP) processes that shape these properties are therefore important to represent in global climate models. Historically, parameterizations in these models have grown more detailed and complex. However, a simpler formulation of CMP processes may leave the model results mostly unchanged while enabling an easier interpretation of model results and helping to increase process understanding. This study employs sensitivity analysis of an emulated perturbed parameter ensemble of the global aerosol-climate model ECHAM-HAM to illuminate the impact of selected CMP cloud ice processes on model output. The response to the perturbation of a process serves as a proxy for the effect of a simplification. Autoconversion of ice crystals is found to be the dominant CMP process in influencing key variables such as the ice water path and cloud radiative effects, while riming of cloud droplets on snow has the most influence on the liquid phase. Accretion of ice and snow and self-collection of ice crystals have a negligible influence on model output and are therefore identified as suitable candidates for future simplifications. In turn, the dominating role of autoconversion suggests that this process has the greatest need to be represented correctly. A seasonal and spatially resolved analysis employing a spherical harmonics expansion of the data corroborates the results. This study introduces a new application for the combination of statistical emulation and sensitivity analysis to evaluate the sensitivity of a complex numerical model to a specific parameterized process. It paves the way for simplifications of CMP processes leading to more interpretable climate model results.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000780896400001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273206
作者单位	Swiss Federal Institutes of Technology Domain; ETH Zurich; Max Planck Society
推荐引用方式 GB/T 7714	Proske, Ulrike,Ferrachat, Sylvaine,Neubauer, David,et al. Assessing the potential for simplification in global climate model cloud microphysics[J],2022,22(7):26.
APA	Proske, Ulrike,Ferrachat, Sylvaine,Neubauer, David,Staab, Martin,&Lohmann, Ulrike.(2022).Assessing the potential for simplification in global climate model cloud microphysics.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(7),26.
MLA	Proske, Ulrike,et al."Assessing the potential for simplification in global climate model cloud microphysics".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.7(2022):26.