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DOI	10.1016/j.atmosenv.2020.118082
	Global distribution of maritime low clouds with an emphasis on different aerosol types and meteorological parameters inferred from multi-satellite and reanalysis data during 2007–2016
	Pan B.; Liu D.; Kumar K.R.; Wang M.; Devi N.S.M.P.L.
发表日期	2021
ISSN	1352-2310
卷号	246
英文摘要	The present study investigates the comparison of spatiotemporal distributions of maritime cloud top height (CTH) and aerosol optical depth (AOD) based on level 3 products of the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) and Moderate-resolution Imaging Spectroradiometer (MODIS) sensors. Besides, the latest cloud and aerosol products from CALIPSO and Modern Era Retrospective-Analysis for Research (MERRA-2) reanalysis meteorology variables, the response of marine low cloud amount (LCA) as the function of occurrence frequencies of different aerosols (AOF), including clean marine (CM), Desert Dust (DD), and Dusty Marine (DM, the mixed type of CM and DD) are explored for the period 2007–2016. The study suggests, on an annual mean, the total agreement between CALIPSO and MODIS is 72.2%/69.5% during the daytime/nighttime for MLC (marine low cloud) and NMLC (not marine low cloud). It is revealed that the CALIPSO captures 11.4%/15.3% of MLC and 88.6%/84.7% of NMLC. While the MODIS captures 20.4% MLC and 79.6% NMLC during both day and nighttimes, partly due to the misidentification of MLC as aerosols by MODIS. Meanwhile, the discrepancy of AOD between MODIS and CALIPSO is approximately 0.053 on the annual scale, which is likely caused by detection sensitivity and surface reflectance models. Further, we have noticed that the aerosol effects on MLC are dependent on their types. It is evident that the CM tends to invigorate MLC and promote more LCA, and DD inclines to inhibit MLC and contribute to less LCA. However, DM shows the net significant aerosol effect on MLC possibly due to the contrasting aerosol effect of CM and DD. We also found that these aerosol invigoration or suppression effects on MLC present the non-monotonic mode under the condition of heavy aerosol loading. © 2020 Elsevier Ltd
关键词	Aerosol types CALIPSO Cloud top height Marine low clouds and aerosols MODIS
语种	英语
scopus关键词	Life cycle; Optical radar; Radiometers; Aerosol optical depths; Cloud-aerosol lidar and infrared pathfinder satellite observations; Detection sensitivity; Meteorological parameters; Moderate resolution imaging spectroradiometer sensors; Retrospective analysis; Spatiotemporal distributions; Surface reflectance models; Aerosols; aerosol; CALIPSO; cloud cover; dust; meteorology; MODIS; optical depth; satellite data; spatiotemporal analysis; surface reflectance; aerosol; aerosol optical depth; cloud; cloud aerosol lidar and infrared pathfinder satellite observations; cloud top height; correlation coefficient; data analysis; day length; dust and dust related phenomena; environmental parameters; frequency; height; intermethod comparison; latitude; longitude; meteorology; night; priority journal; remote sensing; satellite imagery; spatiotemporal analysis
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248686
作者单位	Department of Atmospheric Science, School of Earth Sciences, Zhejiang University, Hangzhou, Zhejiang 310027, China; Department of Physics, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Guntur, Andhra Pradesh 522502, India; Sichuan Meteorological Observation Data Center, Chengdu, Sichuan 610000, China
推荐引用方式 GB/T 7714	Pan B.,Liu D.,Kumar K.R.,等. Global distribution of maritime low clouds with an emphasis on different aerosol types and meteorological parameters inferred from multi-satellite and reanalysis data during 2007–2016[J],2021,246.
APA	Pan B.,Liu D.,Kumar K.R.,Wang M.,&Devi N.S.M.P.L..(2021).Global distribution of maritime low clouds with an emphasis on different aerosol types and meteorological parameters inferred from multi-satellite and reanalysis data during 2007–2016.ATMOSPHERIC ENVIRONMENT,246.
MLA	Pan B.,et al."Global distribution of maritime low clouds with an emphasis on different aerosol types and meteorological parameters inferred from multi-satellite and reanalysis data during 2007–2016".ATMOSPHERIC ENVIRONMENT 246(2021).