气候变化领域集成服务门户(CCPortal): Validation and inter-comparison of MODIS and VIIRS aerosol optical depth products against data from multiple observation networks over East China

CCPortal

DOI	10.1016/j.atmosenv.2021.118205
	Validation and inter-comparison of MODIS and VIIRS aerosol optical depth products against data from multiple observation networks over East China
	Su Y.; Xie Y.; Tao Z.; Hu Q.; Yu T.; Gu X.
发表日期	2021
ISSN	1352-2310
卷号	247
英文摘要	Based on ground-based aerosol optical property observations from the Central China Comprehensive Experimental Site and Aerosol Robotic Network, Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) aerosol optical depth (AOD) products between January 2016 and February 2020 over East China were evaluated and compared on both regional and site scales. In addition, the relationship between the retrieval error and season, the Ångström exponent, and real AOD values was investigated. The results revealed that on the regional scale, the Deep Blue (DB) algorithm outperformed Dark Target (DT) for all three platforms of Terra/Aqua MODIS and NPP VIIRS (with 57%, 57%, and 70%, respectively, of collocations falling within the expected error range), yet the MODIS DB AOD failed to reach a satisfactory result of at least 67% matchups falling within the expected error range. On the site scale, the VIIRS DB aerosol products were the best over most cropland sites. The AOD retrieval errors at some cropland sites exhibited seasonal patterns, which might be related to field burning events and long-distance transport. The results indicate that the DT algorithm of both MODIS 10-km AOD and VIIRS products over croplands in East China needs further improvement. © 2021 Elsevier Ltd
关键词	AOD temporal Analysis CCCES East China Satellite AOD Evaluation
语种	英语
scopus关键词	Aerosols; Errors; Radiometers; Supercomputers; Thermography (imaging); Aerosol optical depths; Aerosol optical property; Aerosol robotic networks; Long-distance transport; Moderate resolution imaging spectroradiometer; Observation networks; Seasonal patterns; Visible infrared imaging radiometer suites; Optical properties; aerosol composition; algorithm; biomass burning; MODIS; optical depth; seasonality; VIIRS; aerosol; algorithm; Article; China; cropland; intermethod comparison; optical depth; priority journal; season; thermography; validation study; Central Department; China
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/248591
作者单位	School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China; Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China; China Sciences Prowise (Beijing) Technology Co., Ltd, Beijing, 100101, China
推荐引用方式 GB/T 7714	Su Y.,Xie Y.,Tao Z.,et al. Validation and inter-comparison of MODIS and VIIRS aerosol optical depth products against data from multiple observation networks over East China[J],2021,247.
APA	Su Y.,Xie Y.,Tao Z.,Hu Q.,Yu T.,&Gu X..(2021).Validation and inter-comparison of MODIS and VIIRS aerosol optical depth products against data from multiple observation networks over East China.ATMOSPHERIC ENVIRONMENT,247.
MLA	Su Y.,et al."Validation and inter-comparison of MODIS and VIIRS aerosol optical depth products against data from multiple observation networks over East China".ATMOSPHERIC ENVIRONMENT 247(2021).