中国区域MODIS陆上气溶胶光学厚度产品检验

李晓静; 张鹏; 张兴赢; 孙凌; 齐瑾; 张艳

中国区域MODIS陆上气溶胶光学厚度产品检验

中国气象局中国遥感卫星辐射测量和定标重点开放实验室国家卫星气象中心, 北京 100081

资助项目:

中国气象局新技术推广重点项目 CMATG2006Z02

国家重点基础研究发展计划项目 2006CB403702

中国气象局2007年气候变化专项项目 CCSF2007-11

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出版历程
- 收稿日期: 2008-04-16
- 修回日期: 2008-08-04
- 刊出日期: 2009-04-30

Validation of Aerosol Optical Thickness Product over China with MODIS Data Operated at NSMC

Key Laboratory of Radiometric Ca libration and Validation f or Environmental Satellites, National S atellite Meteorological Center, China Meteorological Administration, Beij ing 100081

摘要

摘要: 以我国MODIS共享网站积累的MODIS L1B数据和美国威斯康辛大学提供的IMAPP软件包气溶胶产品软件为基础, 经过产品运行本地化改进处理, 在国家卫星气象中心建立了气溶胶产品业务化生成和发布机制。为支持气溶胶遥感产品算法改进以及潜在用户对产品的合理应用, 给出对国家卫星气象中心运行的MODIS气溶胶遥感产品质量检验分析结果。利用2005年1月— 2007年5月AERONET地基气溶胶监测网的L2.0级气溶胶光学厚度产品作为真值, 用它匹配MODIS陆上气溶胶光学厚度产品开展检验。检验结果表明:以卫星过境前后30min地基观测时间平均值匹配地基站点位置10 km半径范围内的卫星反演结果空间平均值开展检验, 总体样本的气溶胶光学厚度均方根误差约为0.25;满足产品误差要求 (±0.05±0.20τ) 的样本占总样本数的44%; 气溶胶光学厚度反演结果精度具有季节和地域差异, 干季(秋、冬、春)的气溶胶光学厚度误差较小, 而雨季气溶胶光学厚度误差较大, 云是雨季气溶胶光学厚度反演结果误差较大的主要影响因素。
- MODIS;
- 气溶胶光学厚度;
- 误差检验;
- 数据共享
Abstract: The aerosol optical thickness producing software provided by Cooperative Institute for Meteorological Satellite Studies (CIMSS) of University of Wisconsin has been modified and operationally run at NSMC. And the MODIS/AOT product is shared at National MODIS Data Center.The MODIS aerosol optical thickness product has been validated with AERONET Level 2.0 aerosol optical thickness product so that the product can be improved and popularized.The MODIS/AOT product from January 2005 to May 2007 has been matched with L2.0 AOT product from AERONET stations in east Asia during the same period. The spacial average value of the MODIS/AOT within the 10 km distance from the site of AERONET station have been compared with the temporal average value of the AERONET/AOT within 30 minutes period the satellite passing the station. The validation result show that RMSE of all validation AOT samples over land is near 0.25, and about forty-four percent of the test samples meet the expected uncertainty of±0.05±0.20τ.The precision of MODIS/AOT is different according to seasons and areas.Usually, RMSE of MODIS/AOT is smaller at drought season than that at rain season. Cloud is the main factor impacted on the large RMSE at rain season. At south evergreen vegetable area, MODIS/AOT RMSE is better than that of north seasonal changed area.MODIS/AOT at 658nm has obviously systematical over-retrieval since the surface reflectivity of red band is over-estimated. Absolute error of MODIS/AOT at 466nm retrieved with blue band data has about half of the positive value and RMSE of MODIS/AOT at 466nm is higher than that of 658nm. The cause is that MODIS/AOT obtained with blue band is more sensitive for aerosol model used in retrieval process than it done with red band, though the estimated surface reflectivity of blue band has smaller error than that of red band. In a word, error from aerosol model is main cause of high random error of MODIS/AOT at 466nm.Correlation among the surface reflectivity at 0.47, 0.66 μm and 2.1μm bands are discussed using selected 79 items of vegetation spectrum reflectivity observed in China by LRCVES/CMA, in order to analyze effects of surface reflectivity for retrieval MODIS/AOT and get some ideas that could improve the precision of MODIS/AOT.The vegetation spectrum reflectivity is obtained from different vegetations and from different growing period of the same vegetation.The analysis show that there is high linear correlation (86.43%) between reflectivity at 0.47 μm bands and reflectivity at 0.66 μm bands for the vegetations.And linear correlation between vegetation reflectivity at 2.1 μm and vegetation reflectivity at 0.66 μm is 68.58%. Linear correlation between vegetation reflectivity at 2.1 μm and vegetation reflectivity at 0.47 μm is 59.79%. It can be concluded that the scheme which decides vegetation surface reflectivity of two visible bands in algorithm of Collection 5 MODIS aerosol products agrees well with the statistics, and is instrumental for algorithm of AOT retrieval with other similar satellite sensors.
- MODIS;
- AOT;
- validation;
- data share

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图 1 以AERONET/AOT为真值检验的MODIS/AOT均方根误差季节分布

Fig. 1 Seasonal change of RMSE of MODIS/AOT compared to AERONET/AOT

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图 2 以AERONET/AOT为真值检验的满足误差要求的MODIS/AOT (AOT绝对误差≤±0.05±0.20τ) 的均方根误差随季节变化

Fig. 2 Seasonal change of RMSE of MODIS/AOT compared to AERONET/ AOT sampled on the condition of absolute error of AOT≤±0.05±0.20τ

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图 3 0.47, 0.66μm和2.1μm通道地表反射率之间的相关性

Fig. 3 The correlation of vegetation surface reflectivity at 0.47, 0.66μm and 2.1μm bands

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图 4 MODIS/AOT均方根误差随AERONET/ AOT值域变化 (AERONET/AOT间隔为0.2)

Fig. 4 Change of RMSE of MODIS/ AOT calculated by step of 0.2 of AERONET/AOT

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图 5 MODIS/AOT绝对误差平均值随AERONET/AOT值域变化 (其他说明同图 4)

Fig. 5 Change of average absolute error of MODIS/AOT calculated by step of 0.2 of AERONET/AOT

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表 1 AERONET站点观测AOT与MODIS反演AOT的比较

Table 1 Intercomparisons between MODIS and sun-photometer estimates of AOT respectively

表 2 以AERONET/AOT为真值检验的MODIS/AOT的均方根误差(RMSE)分类误差统计

Table 2 Statistics of classed RMSE and absolute error of MODIS/ AOT compared to AERONET/ AOT by season and terrain

表 3 MODIS/AOT样本检验结果

Table 3 Statistics of MODIS/AOT sample error

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