气候变化领域集成服务门户(CCPortal): Using aircraft measurements to characterize subgrid-scale variability of aerosol properties near the Atmospheric Radiation Measurement Southern Great Plains site

CCPortal

DOI	10.5194/acp-22-11217-2022
	Using aircraft measurements to characterize subgrid-scale variability of aerosol properties near the Atmospheric Radiation Measurement Southern Great Plains site
	Fast, Jerome D.; Bell, David M.; Kulkarni, Gourihar; Liu, Jiumeng; Mei, Fan; Saliba, Georges; Shilling, John E.; Suski, Kaitlyn; Tomlinson, Jason; Wang, Jian; Zaveri, Rahul; Zelenyuk, Alla
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	11217
结束页码	11238
卷号	22 期号:17 页码:22
英文摘要	Complex distributions of aerosol properties evolve in space and time as a function of emissions, new particle formation, coagulation, condensational growth, chemical transformation, phase changes, turbulent mixing and transport, removal processes, and ambient meteorological conditions. The ability of chemical transport models to represent the multi-scale processes affecting the life cycle of aerosols depends on their spatial resolution since aerosol properties are assumed to be constant within a grid cell. Subgrid-scale-dependent processes that affect aerosol populations could have a significant impact on the formation of particles, their growth to cloud condensation nuclei (CCN) sizes, aerosol-cloud interactions, dry deposition and rainout and hence their burdens, lifetimes, and radiative forcing. To address this issue, we characterize subgrid-scale variability in terms of measured aerosol number, size, composition, hygroscopicity, and CCN concentrations made by repeated aircraft flight paths over the Atmospheric Radiation Measurement (ARM) program's Southern Great Plains (SGP) site during the Holistic Interactions of Shallow Clouds, Aerosols and Land Ecosystem (HI-SCALE) campaign. Subgrid variability is quantified in terms of both normalized frequency distributions and percentage difference percentiles using grid spacings of 3, 9, 27, and 81 km that represent those typically used by cloud-system-resolving models as well as the current and next-generation climate models. Even though the SGP site is a rural location, surprisingly large horizontal gradients in aerosol properties were frequently observed. For example, 90 % of the 3, 9, and 27 km cell mean organic matter concentrations differed from the 81 km cell around the SGP site by as much as similar to 46 %, large spatial variability in aerosol number concentrations and size distributions were found during new particle formation events, and consequently 90 % of the 3, 9, and 27 km cell mean CCN number concentrations differed from the 81 km cell mean by as much as similar to 38 %. The spatial variability varied seasonally for some aerosol properties, with some having larger spatial variability during the spring and others having larger variability during the late summer. While measurements at a single surface site cannot reflect the surrounding variability of aerosol properties at a given time, aircraft measurements that are averaged within an 81km cell were found to be similar to many, but not all, aerosol properties measured at the ground SGP site. This analysis suggests that it is reasonable to directly compare most ground SGP site aerosol measurements with coarse global climate model predictions. In addition, the variability quantified by the aircraft can be used as an uncertainty range when comparing the surface point measurements with model predictions that use coarse grid spacings.
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:000849859300001
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/273922
作者单位	United States Department of Energy (DOE); Pacific Northwest National Laboratory; Swiss Federal Institutes of Technology Domain; Paul Scherrer Institute; Harbin Institute of Technology; Juul Labs, Inc.; Washington University (WUSTL)
推荐引用方式 GB/T 7714	Fast, Jerome D.,Bell, David M.,Kulkarni, Gourihar,et al. Using aircraft measurements to characterize subgrid-scale variability of aerosol properties near the Atmospheric Radiation Measurement Southern Great Plains site[J],2022,22(17):22.
APA	Fast, Jerome D..,Bell, David M..,Kulkarni, Gourihar.,Liu, Jiumeng.,Mei, Fan.,...&Zelenyuk, Alla.(2022).Using aircraft measurements to characterize subgrid-scale variability of aerosol properties near the Atmospheric Radiation Measurement Southern Great Plains site.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(17),22.
MLA	Fast, Jerome D.,et al."Using aircraft measurements to characterize subgrid-scale variability of aerosol properties near the Atmospheric Radiation Measurement Southern Great Plains site".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.17(2022):22.