气候变化领域集成服务门户(CCPortal): Predicting atmospheric background number concentration of ice-nucleating particles in the Arctic

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DOI	10.5194/acp-22-14441-2022
	Predicting atmospheric background number concentration of ice-nucleating particles in the Arctic
	Li, Guangyu; Wieder, Joerg; Pasquier, Julie T.; Henneberger, Jan; Kanji, Zamin A.
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	14441
结束页码	14454
卷号	22 期号:21 页码:14
英文摘要	Mixed-phase clouds (MPCs) can have a net warming or cooling radiative effect on Earth's climate influenced by the phase and concentration of cloud particles. They have received considerable attention due to high spatial coverage and occurrence frequency in the Arctic. To initiate ice formation in MPCs at temperatures above -38 degrees C, ice-nucleating particles (INPs) are required, which therefore have important implications on the radiative properties of MPCs by altering the ice-to-liquid ratio of hydrometeors. As a result, constraining ambient INP concentrations could promote accurate representation of cloud microphysical processes and reduce the uncertainties in estimating the cloud-phase-related climate feedback in climate models. Currently, INP parameterizations are lacking for remote Arctic environments. Here we present INP number concentrations and their variability measured in Ny-Alesund (Svalbard) at temperatures between 0 and -30 degrees C. No distinguishable seasonal difference was observed from 12 weeks of field measurements during October and November 2019 and March and April 2020. Compared to existing studies, the absence of a seasonal difference is not surprising, as most seasonal differences are reported for summer versus winter time INP concentrations. In addition, correlating INP concentrations to aerosol physical properties was not successful. Therefore, we propose a lognormal-distribution-based parameterization to predict Arctic INP concentration solely as a function of temperature, specifically for the transition seasons autumn and spring to fill in the data gap in the literature pertaining to these seasons. In practice, the parameterized variables allow for (i) the prediction of the most likely INP concentrations and (ii) the retrieval of the governing distribution of INP concentrations at given temperatures in the Arctic.
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:000881697300001
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/273323
作者单位	Swiss Federal Institutes of Technology Domain; ETH Zurich
推荐引用方式 GB/T 7714	Li, Guangyu,Wieder, Joerg,Pasquier, Julie T.,et al. Predicting atmospheric background number concentration of ice-nucleating particles in the Arctic[J],2022,22(21):14.
APA	Li, Guangyu,Wieder, Joerg,Pasquier, Julie T.,Henneberger, Jan,&Kanji, Zamin A..(2022).Predicting atmospheric background number concentration of ice-nucleating particles in the Arctic.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(21),14.
MLA	Li, Guangyu,et al."Predicting atmospheric background number concentration of ice-nucleating particles in the Arctic".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.21(2022):14.