气候变化领域集成服务门户(CCPortal): Profile-based estimated inversion strength

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DOI	10.5194/acp-23-3247-2023
	Profile-based estimated inversion strength
	Wang, Zhenquan; Yuan, Jian; Wood, Robert; Chen, Yifan; Tong, Tiancheng
发表日期	2023
ISSN	1680-7316
EISSN	1680-7324
起始页码	3247
结束页码	3266
卷号	23 期号:5 页码:20
英文摘要	To better measure the planetary boundary layer inversion strength (IS), a novel profile-based method of estimated inversion strength (EISp) is developed using the ERA5 daily reanalysis data. The EISp is designed to estimate the IS based on the thinnest possible reanalysis layer above the lifting condensation level encompassing the inversion layer. At a ground-based site in North America, the EISp correlates better with the radiosonde-detected IS (R=0.74) than the lower-tropospheric stability (LTS, R=0.53) and the estimated inversion strength (EIS, R=0.45). The daily variance in low cloud cover (LCC) explained by the EISp is twice that explained by the LTS and EIS. Higher correlations between the EISp and the radiosonde-detected IS are also found at other radiosonde stations of the subtropics and midlatitudes.Analysis of LCC observed by geostationary satellites and the Moderate Resolution Imaging Spectroradiometer shows that the EISp explains 78 % of the annual mean LCC spatial variance over global oceans and land, which is larger than that explained by the LTS and EIS (48 % and 13 %). Over tropical and subtropical low-cloud-prevailing eastern oceans, the LCC range is more resolved by the EISp (48 %) than by the LTS and EIS (37 % and 36 %). Furthermore, the EISp explains a larger fraction (32 %) in the daily LCC variance as compared to that explained by the LTS and EIS (14 % and 16 %). The seasonal LCC variance explained by the EISp is 89 %, which is larger than that explained by the LTS and EIS (80 % and 70 %). The LCC-EISp relationship is more uniform across various timescales than the LCC-LTS and LCC-EIS relationships. It is suggested that the EISp is a better cloud-controlling factor for LCC and is likely a useful external environmental constraint for process-level studies in which there is a need to control for large-scale meteorology in order to isolate the cloud responses to aerosols on short timescales.
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:000948738100001
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/273276
作者单位	Nanjing University; University of Washington; University of Washington Seattle
推荐引用方式 GB/T 7714	Wang, Zhenquan,Yuan, Jian,Wood, Robert,et al. Profile-based estimated inversion strength[J],2023,23(5):20.
APA	Wang, Zhenquan,Yuan, Jian,Wood, Robert,Chen, Yifan,&Tong, Tiancheng.(2023).Profile-based estimated inversion strength.ATMOSPHERIC CHEMISTRY AND PHYSICS,23(5),20.
MLA	Wang, Zhenquan,et al."Profile-based estimated inversion strength".ATMOSPHERIC CHEMISTRY AND PHYSICS 23.5(2023):20.