利用多元回归方法反演中国陆地地区AVHRR气溶胶光学厚度

大气与环境光学学报 ›› 2015, Vol. 10 ›› Issue (4): 286-294.

• “多尺度大气气溶胶综合观测实验”专辑 • 上一篇下一篇

利用多元回归方法反演中国陆地地区AVHRR气溶胶光学厚度

高玲1，李俊1,2，陈林1，张里阳1

(1. 国家卫星气象中心，北京，100081；
2. University of Wisconsin-Madison, Madison WI 53706, USA)

收稿日期:2015-04-10 修回日期:2015-04-14 出版日期:2015-07-28 发布日期:2015-07-21
通讯作者: 高玲（1985-）女，苗族，贵州铜仁人，工程师，硕士，研究方向为气溶胶遥感。 E-mail:gaoling@cma.gov.cn
作者简介:高玲（1985-）女，苗族，贵州铜仁人，工程师，硕士，研究方向为气溶胶遥感。
基金资助:
国家重点基础研究发展计划(973)项目(2010CB950802)资助

Retrieval Atmospheric Aerosol Optical Depth over China from AVHRR by Multiple Regression Method

Gao Ling1, Li Jun1, 2, Chen Lin1, ZHANG Li Yang1

(1. National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China;
2. University of Wisconsin-Madison, Madison WI 53706, USA)

Received:2015-04-10 Revised:2015-04-14 Published:2015-07-28 Online:2015-07-21

摘要/Abstract

摘要：

AVHRR陆地气溶胶光学厚度(AOD)反演算法的开发对研究长时间气溶胶的变化规律有重要意义。本文通过建立AVHRR Level 1B的观测量与同时进行观测的MODIS的AOD产品的对应关系，利用多元回归的数学算法进行AVHRR陆地AOD的反演。以2008 – 2011年的匹配数据作为回归样本获得多元回归系数，再应用到2003 - 2007年中国陆地地区AVHRR的观测上得到了AOD的时空分布，结果表明其空间分布特征合理。将反演结果与同期的Aqua/MODIS 及AERONET的AOD对比分析得到，AVHRR和MODIS的AOD的变化趋势具有很好的一致性，北京地区、长三角、珠三角、四川盆地等气溶胶重污染区的AOD月均值的相关系数在0.7以上。北京、香河等AERONET的观测值与AVHRR反演的AOD相关系数也在0.6以上。以上结果表明：此多元回归方法对历史AVHRR陆地AOD数据集的反演具有巨大潜力。

关键词: 气溶胶光学厚度, 多元回归算法, AVHRR, MODIS, AERONET

Abstract:

An algorithm has been developed to retrieve aerosol optical depth (AOD) from AVHRR over land for climate change studies. The multiple regression method was employed by using spatially and temporally collocated MODIS AOD and AVHRR Level1b measurements to generate regression coefficients from 2008 through 2011. Validation with AERONET AOD measurements and comparison with MODIS AOD product have been conducted to evaluate the uncertainty of AVHRR AOD retrievals over land from 2003 - 2007. It is found that the distribution pattern of the seasonal mean AOD is reasonable. The AOD from AVHRR has a tendency to be consistent with that from MYD04 and the correlation coefficients are larger than 0.7 for Beijing, Pearl River Delta, Yangtze River Delta and Sichuan Basin areas. Compared AVHRR with AERONET in Beijing and Xianghe, the correlation coefficients are larger than 0.6. These results show that the multiple regression method has the potential to retrieve a long-term AOD climatology data from AVHRR over land. Error sources about this retrieving algorithm were also discussed.

Key words: aerosol optical depth, multiple regression method, AVHRR, MODIS, AERONET

中图分类号:

P407.1

高玲李俊陈林张里阳. 利用多元回归方法反演中国陆地地区AVHRR气溶胶光学厚度[J]. 大气与环境光学学报, 2015, 10(4): 286-294.

GAO Ling, LI Jun, CHEN Lin, ZHANG Li-Yang. Retrieval Atmospheric Aerosol Optical Depth over China from AVHRR by Multiple Regression Method[J]. Journal of Atmospheric and Environmental Optics, 2015, 10(4): 286-294.

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利用多元回归方法反演中国陆地地区AVHRR气溶胶光学厚度

Retrieval Atmospheric Aerosol Optical Depth over China from AVHRR by Multiple Regression Method

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