主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2017, Vol. 33 ›› Issue (3): 52-58.doi: 10.3969/j.issn.1673-503X.2017.03.007

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Retrievals of aerosol optical depths and their spatial distributions over Jing-Jin-Ji region

YANG Peng1, CHEN Jing1, GAO Qi1, ZHI Li-hui1, ZHAO Li-ping2, CUI Sheng-cheng3   

  1. 1. Shijiazhuang Meteorological Service, Shijiazhuang 050081, China;
    2. Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geo-information, Beijing 101300, China;
    3. Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
  • Received:2016-03-10 Revised:2016-07-25 Online:2017-06-30 Published:2017-06-30

Abstract: Based on Terra/MODIS MOD021KM data from September 1,2014 to May 31,2015,as well as deep blue algorithm and look-up-table methods,aerosol optical depths (AOD) over Jing-Jin-Ji region were retrieved with the spatial resolution of 1 km,the results were compared with NASA products and CE-318 measurements.The results show that the retrieved AODs have higher spatial resolution and relatively good agreements with the products of MOD 04_L2 (10 km×10 km) and MOD 04_3K (3 km×3 km) .The mean absolute error between retrieved AODs and those observed by CE-318 sun-photometer at Shijiazhuang site is about 0.07,with a high correlation coefficient of 0.98.When Terra passed the territory,mean errors of retrieved AOD compared with MOD 04_L2 and MOD 04_3K products were around 0.06 and 0.03,respectively.Further relationship analysis on the spatial contributions of retrieved AODs and the mass concentrations of PM2.5 and PM10 over Hebei province indicated that the correlation coefficients between AOD and PM2.5 and PM10 are 0.745 and 0.663,respectively,suggesting that the retrieved AODs with the resolution of 1 km could effectively reflect the mass concentrations of PM2.5 and PM10.

Key words: MODIS, Aerosol optical depth, Deep blue algorithm, Look-up-table method

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