气候变化领域集成服务门户(CCPortal): Development of a cloud-screening algorithm for direct and diffuse AODs from the Skyradiometer Network

CCPortal

DOI	10.1016/j.atmosres.2020.104997
	Development of a cloud-screening algorithm for direct and diffuse AODs from the Skyradiometer Network
	Choi Y.; Ghim Y.S.; Kim S.-W.; Yeo H.
发表日期	2020
ISSN	0169-8095
卷号	243
英文摘要	We developed a cloud-screening algorithm for direct and diffuse aerosol optical depths (AODs) from the Skyradiometer Network (CSDD). Variabilities of direct AODs were checked not only to screen cloud-contaminated (cloudy) data effectively but also to make direct AODs available for aerosol study, as in the Aerosol Robotic Network (AERONET). Skyradiometer data were used from the Seoul National University (SNU) site for three years from 2012 to 2014. CSDD tested the spectral and temporal variabilities according to the Ångström exponent at the first stage, and the temporal smoothness in the form of the coefficient of variation at the second stage. The algorithm for CSDD was constructed to minimize the differences with optical properties of cloudy data (and clear-sky data as well) based on the cloud cover from the synoptic station. A number of cloudy data that was not screened by the previous algorithms was removed, and the absolute value of the bias total could be substantially lowered. The performances of algorithms for cloud detection were also examined using lidar observations at the study site in terms of accuracy, probability of detection (POD), and false detection rate. The statistics of cloud detection for CSDD were generally comparable to those of AERONET for direct data, and the POD for diffuse data was improved to the level of direct data. © 2020
英文关键词	AERONET; Aerosol optical properties; Cloud-detection statistics; Screening efficiency; SKYNET
语种	英语
scopus关键词	Aerosols; Optical radar; Aerosol optical depths; Aerosol robotic networks; Coefficient of variation; Lidar observation; Probability of detection; Seoul National University; Synoptic station; Temporal variability; Optical properties; AERONET; aerosol property; algorithm; cloud; optical depth; radiometer; signal processing; temporal variation; Seoul [South Korea]; South Korea
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141890
作者单位	Department of Environmental Science, Hankuk University of Foreign Studies, Yongin, 17035, South Korea; School of Earth and Environmental Sciences, Seoul National University, Seoul, 08826, South Korea
推荐引用方式 GB/T 7714	Choi Y.,Ghim Y.S.,Kim S.-W.,et al. Development of a cloud-screening algorithm for direct and diffuse AODs from the Skyradiometer Network[J],2020,243.
APA	Choi Y.,Ghim Y.S.,Kim S.-W.,&Yeo H..(2020).Development of a cloud-screening algorithm for direct and diffuse AODs from the Skyradiometer Network.Atmospheric Research,243.
MLA	Choi Y.,et al."Development of a cloud-screening algorithm for direct and diffuse AODs from the Skyradiometer Network".Atmospheric Research 243(2020).