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Evaluation of CALIPSO aerosol optical depth using AERONET and MODIS data over China

  • Chaoshun Liu*
  • , Xianxia Shen
  • , Wei Gao
  • , Pudong Liu
  • , Zhibin Sun
  • *此作品的通讯作者
  • East China Normal University
  • Colorado State University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Aerosol optical depth (AOD) data from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) were inter-compared and validated against ground-based measurements from Aerosol Robotic Network (AERONET) as well as Moderate Resolution Imaging Spectroradiometer (MODIS) over China during June 2006 to December 2012. We have compared the AOD between CALIOP and AERONET site by site using quality control flags to screen the AOD data. In general, CALIOP AOD is lower than AERONET due to cloud effect detected algorithm and retrieval uncertanty. Better agreement is apparent for these sites: XiangHe, Beijing, Xinglong, and SACOL. Low correlations were observed between CALIPSO and ground-based sunphotometer data in in south or east China. Comparison results show that the overall spatio-temporal distribution of CALIPSO AOD and MODIS AOD are basically consistent. As for the spatial distribution, both of the data show several high-value regions and low-value regions in China. CALIPSO is systematically lower than MODIS over China, especially over high AOD value regions for all seasons. As for the temporal variation, both data show a significant seasonal variation: AOD is largest in spring, then less in summer, and smallest in winter and autumn. Statistical frequency analysis show that CALIPSO AOD and MODIS AOD was separated at the cut-off points around 0.2 and 0.8, the frequency distribution curves were almost the same with AOD between 0.2 and 0.8, while AOD was smaller than 0.4, CALIPSO AOD gathered at the low-value region (0-0.2) and the frequency of MODIS AOD was higher than CALIPSO AOD with AOD greater than 0.8. CALIOP AOD values show good correlation with MODIS AOD for all time scales, particularly for yearly AOD with higher correlation coefficient of 0.691. Seasonal scatterplot comparisons suggest the highest correlation coefficient of 0.749 in autumn, followed by winter of 0.665, summer of 0.566, and spring of 0.442. Evaluation of CALIOP AOD retrievals provides prospect application for CALIPSO data.

源语言英语
主期刊名Remote Sensing and Modeling of Ecosystems for Sustainability XI
编辑Jinnian Wang, Ni-Bin Chang, Wei Gao
出版商SPIE
ISBN(电子版)9781628412482
DOI
出版状态已出版 - 2014
活动Remote Sensing and Modeling of Ecosystems for Sustainability XI - San Diego, 美国
期限: 18 8月 201420 8月 2014

丛书

姓名Proceedings of SPIE - The International Society for Optical Engineering
9221
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议Remote Sensing and Modeling of Ecosystems for Sustainability XI
国家/地区美国
San Diego
时期18/08/1420/08/14

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