气候变化领域集成服务门户(CCPortal): Simplified and Fast Atmospheric Radiative Transfer model for satellite-based aerosol optical depth retrieval

CCPortal

DOI	10.1016/j.atmosenv.2020.117362
	Simplified and Fast Atmospheric Radiative Transfer model for satellite-based aerosol optical depth retrieval
	Yan X.; Luo N.; Liang C.; Zang Z.; Zhao W.; Shi W.
发表日期	2020
ISSN	1352-2310
卷号	224
英文摘要	Satellite-based aerosol optical depth (AOD) retrieval over land remains a considerable challenge when high temporal and spatial resolutions are required. This paper presents the Simplified and Fast Atmospheric Radiative Transfer (SFART) model for direct calculation of satellite AOD via analytical equations rather than the lookup table (LUT) approach. The SFART model considers the impact of both Rayleigh and aerosol multiple scattering. A comprehensive comparison with the Simplified Method for Atmospheric Correction (SMAC) and single scattering approximation method is conducted. In validation with 6S, good atmospheric reflectance (Rayleigh + aerosol) accuracy is achieved by SFART, with approximately 69% of the data falling within the 5% estimated error (EE) envelope at both 440 and 640 nm. This is higher than the SMAC accuracy (within 5% EE: 42.83% and 39.91% at 440 and 640 nm, respectively) and is a tremendous improvement over the single scattering approximation method (within 5% EE: 15.67% and 20.5% at 440 and 640 nm, respectively). SFART is then applied for AOD retrieval to Himawari-8 satellite data over the North China Plain on both normal and hazy days. The retrieved AOD values are validated against collected AERONET data (Version 3, Level 2.0). Approximately 59% of the SFART AOD values fall within the EE bounds of ±(0.05 + 15%) with a root mean squared error of 0.22 (for 339 collocations). The promising results given by SFART indicate that this method can facilitate improved AOD calculation using empirical or real-time aerosol models in an efficient and flexible manner. © 2020 Elsevier Ltd
关键词	AERONET AOD Himawari-8 SMAC
语种	英语
scopus关键词	Approximation theory; Mean square error; Optical properties; Radiative transfer; Satellites; Table lookup; AERONET; Atmospheric corrections; Atmospheric radiative transfer; Atmospheric radiative transfer models; Comprehensive comparisons; Himawari-8; Root mean squared errors; SMAC; Aerosols; AERONET; aerosol composition; atmospheric correction; optical depth; radiative transfer; Rayleigh number; satellite altimetry; surface reflectance; wave scattering; aerosol; article; calculation; China; information retrieval; intermethod comparison; optical depth; China; North China Plain
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/249279
作者单位	State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China; Department of Geography, San Diego State University, 5500 Campanile Dr., San Diego, CA 92182-4493, United States; College of Resource Environment and Tourism, Capital Normal University, Beijing, 100048, China; Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong
推荐引用方式 GB/T 7714	Yan X.,Luo N.,Liang C.,et al. Simplified and Fast Atmospheric Radiative Transfer model for satellite-based aerosol optical depth retrieval[J],2020,224.
APA	Yan X.,Luo N.,Liang C.,Zang Z.,Zhao W.,&Shi W..(2020).Simplified and Fast Atmospheric Radiative Transfer model for satellite-based aerosol optical depth retrieval.ATMOSPHERIC ENVIRONMENT,224.
MLA	Yan X.,et al."Simplified and Fast Atmospheric Radiative Transfer model for satellite-based aerosol optical depth retrieval".ATMOSPHERIC ENVIRONMENT 224(2020).