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DOI | 10.6038/cjg2019L0218 |
VIIRS aerosol opticaldepth (AOD) retrieval algorithm improvement in eastern China | |
Wang Yang1,2; Chen LiangFu1; Li ShenShen1; Wang XinHui3; Yu Chao1; Fan Meng1 | |
发表日期 | 2019 |
ISSN | 0001-5733 |
卷号 | 62期号:1页码:49-62 |
英文摘要 | As the MODIS (MODerate resolution Imaging Spectroradiometer) successor, VIIRS (Visible Infrared Imaging Radiometer Suite) can achieve on a global scale continuous monitoring of aerosols. As a mature product of aerosol remote sensing, the Aerosol Optical Depth (AOD) is an important atmospheric parameter in energy budget and climate change researches. But because of heavy aerosol loading, the application of VIIRS AOD product from NOAA (National Oceanic and Atmospheric Administration) is limited in China. By using a new cloud mask method, improving the pixels selection process, widening the range of AOD inversion, and constraining the aerosol model selection, we improved the retrieval algorithm and enhanced the performance in haze area. Based on validation with ground-based AERONET (AErosol RObotic NETwork) observation, our AOD product overcame the underestimation of satellite retrieval result and had better correlation and smaller root mean square error (RMSE) than that of NOAA. In order to verify its performance in polluted air condition, we compared them in two degrees of pollution (0. 6 < AOD(AERONET )<1 and AOD(AERONET) >1). For the heavy pollution conditions (AOD(AERONET) >1), availability proportion of data increased effectively from 32. 3% to 68. 8%. Validation results showed that the slope of the regression analysis, correlation coefficient, and the root mean square error (RMSE) was enhanced to 0.80, 0. 76 and 0.307 respectively. In the conclusion, the accuracy of AOD products was guaranteed on the basis of increasing of data coverage. |
WOS研究方向 | Geochemistry & Geophysics |
来源期刊 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/90616 |
作者单位 | 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Beijing Municipal Environm Monitoring Ctr, Beijing 100048, Peoples R China |
推荐引用方式 GB/T 7714 | Wang Yang,Chen LiangFu,Li ShenShen,et al. VIIRS aerosol opticaldepth (AOD) retrieval algorithm improvement in eastern China[J],2019,62(1):49-62. |
APA | Wang Yang,Chen LiangFu,Li ShenShen,Wang XinHui,Yu Chao,&Fan Meng.(2019).VIIRS aerosol opticaldepth (AOD) retrieval algorithm improvement in eastern China.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,62(1),49-62. |
MLA | Wang Yang,et al."VIIRS aerosol opticaldepth (AOD) retrieval algorithm improvement in eastern China".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 62.1(2019):49-62. |
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