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DOI10.5194/acp-21-9629-2021
Identifying meteorological influences on marine low-cloud mesoscale morphology using satellite classifications
Mohrmann J.; Wood R.; Yuan T.; Song H.; Eastman R.; Oreopoulos L.
发表日期2021
ISSN1680-7316
起始页码9629
结束页码9642
卷号21期号:12
英文摘要Marine low-cloud mesoscale morphology in the southeastern Pacific Ocean is analyzed using a large dataset of classifications spanning 3 years generated by machine learning methods. Meteorological variables and cloud properties are composited by the mesoscale cloud type of the classification, showing distinct meteorological regimes of marine low-cloud organization from the tropics to the midlatitudes. The presentation of mesoscale cellular convection, with respect to geographic distribution, boundary layer structure, and large-scale environmental conditions, agrees with prior knowledge. Two tropical and subtropical cumuliform boundary layer regimes, suppressed cumulus and clustered cumulus, are studied in detail. The patterns in precipitation, circulation, column water vapor, and cloudiness are consistent with the representation of marine shallow mesoscale convective self-aggregation by large eddy simulations of the boundary layer. Although they occur under similar large-scale conditions, the suppressed and clustered low-cloud types are found to be well separated by variables associated with low-level mesoscale circulation, with surface wind divergence being the clearest discriminator between them, regardless of whether reanalysis or satellite observations are used. Clustered regimes are associated with surface convergence, while suppressed regimes are associated with surface divergence. © Author(s) 2021.
语种英语
scopus关键词atmospheric convection; boundary layer; cloud classification; data set; machine learning; marine atmosphere; mesoscale meteorology; satellite imagery; Pacific Ocean; Pacific Ocean (Southeast)
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/246782
作者单位Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; Earth Science Division, NASA Goddard Space Flight Center, Goddard, MD, United States; Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, MD, United States; Science Systems and Application Inc., Lanham, MD, United States
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Mohrmann J.,Wood R.,Yuan T.,et al. Identifying meteorological influences on marine low-cloud mesoscale morphology using satellite classifications[J],2021,21(12).
APA Mohrmann J.,Wood R.,Yuan T.,Song H.,Eastman R.,&Oreopoulos L..(2021).Identifying meteorological influences on marine low-cloud mesoscale morphology using satellite classifications.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(12).
MLA Mohrmann J.,et al."Identifying meteorological influences on marine low-cloud mesoscale morphology using satellite classifications".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.12(2021).
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