中国区域MODIS三个版本气溶胶产品的对比研究

大气与环境光学学报 ›› 2016, Vol. 11 ›› Issue (3): 217-225.

中国区域MODIS三个版本气溶胶产品的对比研究

魏轶男1,3, 吴时超1,3, 徐飞飞1,3, 汪左1,3, 陶圣荣2, 麻金继1,3*

（1安徽师范大学国土资源与旅游学院, 安徽芜湖 241003;
2安徽师范大学物理与电子信息学院, 安徽芜湖 241003;
3资源环境与地理信息工程安徽省工程技术研究中心, 安徽芜湖 241003）

收稿日期:2016-03-17 修回日期:2016-03-24 出版日期:2016-05-28 发布日期:2016-05-25
通讯作者: 麻金继（1975-），男，安徽当涂人，教授，主要从事卫星遥感，光学遥感方面的研究。 E-mail:jinjima@mail.ahnu.edu.cn
作者简介:魏轶男（1991-），女，安徽滁州人，研究生，主要从事大气环境遥感研究与应用研究。
基金资助:
Supported by National Natural Science foundation of China(国家自然科学基金, 41271377）

Comparison and Analysis of Three Versions of MODIS Aerosol Product in China Region

WEI Yinan1,3, WU Shichao1,3, XU Feifei1,3, WANG Zuo1,3, TAO Shengrong2, MA Jinji1,3*

(1 College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241003, China;
2 College of Physics and Electronic Information, Anhui Normal University, Wuhu 241003, China;
3 Engineering Technology Research Center of Resources Environment and GIS, Anhui Province, Wuhu 241003, China)

Received:2016-03-17 Revised:2016-03-24 Published:2016-05-28 Online:2016-05-25

摘要/Abstract

摘要：

准确获取气溶胶光学厚度对于气候变化研究和大气环境监测具有重要意义，卫星反演气溶胶光学厚度的产品较多，开展不同气溶胶光学厚度产品间的对比研究，可为用户选择适合的气溶胶光学厚度产品提供重要依据。应用地基气溶胶观测网AERONET提供的气溶胶光学厚度数据，分析了MODIS气溶胶产品对中国区域四种典型下垫面的适用性。通过对比发现：在中国区域，城郊、森林、湖泊下垫面气溶胶光学厚度反演算法中第六版本最优，城市下垫面气溶胶光学厚度反演算法中第五版本最好。研究结论可为中国区域的MODIS气溶胶产品选择提供参考。

关键词: MODIS, AERONET, 气溶胶光学厚度, 下垫面

Abstract:

It is important for researching climate change and monitoring environment to obtain aerosol optical depth accurately. With the aerosol optical depth products derived from satellites increasing, comparison between different aerosol optical depth products can offer an important basis for users to choose the appropriate products. MODIS aerosol products’ applicability for four kinds of underlying surfaces with AERONET ground-based observations data was analyzed. The comparison shows that: in China region, for the suburb, forest, lake, the optimal one is MODIS sixth version retrieval algorithm. The fifth version algorithm is suitable for the urban underlying surface. The conclusions can provide references for selecting MODIS aerosol products in China region.

Key words: moderate resolution imaging spectroradiometer, aerosol robotic network, aerosol optical depth; underlying surface

中图分类号:

TP79

魏轶男吴时超徐飞飞汪左陶圣荣麻金继. 中国区域MODIS三个版本气溶胶产品的对比研究[J]. 大气与环境光学学报, 2016, 11(3): 217-225.

WEI Yi-Nan, WU Shi-Chao, XU Fei-Fei, WANG Zuo, TAO Sheng-Rong, MA Jin-Ji. Comparison and Analysis of Three Versions of MODIS Aerosol Product in China Region[J]. Journal of Atmospheric and Environmental Optics, 2016, 11(3): 217-225.

参考文献

[1] Zhu Zhongmin, Gong Wei, Yu Juan, et al. Inversion of aerosol optical thickness based on CALIOP [J]. Journal of Huazhong Normal University (Nat. Sci.), 2010, 44(1): 135-139(in Chinese).
朱忠敏, 龚威, 余娟, 等. 基于CALIOP数据的气溶胶光学厚度反演研究 [J]. 华中师范大学学报: 自然科学版, 2010, 44(1): 135-139.
[2] Suman M N S, Gadhavi H, KiranV R, et al. Role of Coarse and Fine Mode Aerosols in MODIS AOD Retrieval: a case study over southern India [J]. Atmos. Meas. Tech., 2014, 7(4): 907-917.
[3] Mei L, Xue Y, Leeuw G D, et al. Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data [J]. Atmos. Chem. Phys. Discuss., 2012, 12(19): 9167-9185.
[4] Curier R L, Veefkind J P, Braak R, et al. Retrieval of aerosol optical properties from OMI radiances using a multiwavelength algorithm: Application to western Europe [J]. J. Geophys. Res. Atmos., 2008, 113(D17): 1161-1165.
[5] Jethva H, Torres O, Bhartia P K, et al. Retrieval, inter-comparison, and validation of above-cloud aerosol optical depth from A-train sensors [C]. The 13th international AeroCom workshop, 2014.
[6] Bilal M, Nichol J E, Nazeer M. Validation of Aqua-MODIS C051 and C006 operational aerosol products using AERONET measurements over Pakistan [J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2015.
[7] Mao Jietai, Liu Xiaoyang, Li Chengcai, et al. The comparison of remote sensing aerosol optical depth from MODIS data and ground sun-photometer observations [J]. Journal of Applied Meteorological Science, 2002, 13(z1): 127-135(in Chinese).
毛节泰, 刘晓阳, 李成才, 等. MODIS卫星遥感北京地区气溶胶光学厚度及与地面光度计遥感的对比 [J]. 应用气象学报, 2002, 13(z1): 127-135.
[8] Huang Yu, Chen Xiaoling, Tian Liqiao, et al. Correlational research on aerosol optical depths from CALIPSO and MODIS/Aqua over the Bohai Sea [J]. Marine Science, 2013, (1): 113-118(in Chinese).
黄珏, 陈晓玲, 田礼乔, 等. 渤海海域CALIOP与MODIS气溶胶光学厚度相关性分析 [J]. 海洋科学, 2013, (1): 113-118.
[9] Li Xuebin, Han Yong, Xu Qingshan, et al. Variation of atmospheric aerosol parameters in Xiamen [J]. Journal of Atmospheric and Environmental Optics, 2006, 1(6): 161-165(in Chinese).
李学彬, 韩永, 徐青山, 等. 厦门地区大气气溶胶变化特征分析 [J]. 大气与环境光学学报, 2006, 1(6): 161-165.
[10] Papadimas C D, Hatzianastassiou N, Mihalopoulos N, et al. Assessment of the MODIS collections C005 and C004 aerosol optical depth products over the Mediterranean basin [J]. Atmos. Chem. Phys. 2009, 9(9): 2987-2999.
[11] Levy R C, Mattoo S, Munchak L A, et al. The collection 6 MODIS aerosol products over land and ocean [J]. Atmos. Meas. Tech. Discuss., 2013, 6(1): 159-259. [12] Li Chengcai, Mao Jietai, Liu Qihan, et al. Using MODIS to research aerosol optical thickness distribution and seasonal variation characteristics in eastern China [J]. Chinese Science Bulletin, 2003, 48(19): 2094-2100(in Chinese).
李成才, 毛节泰, 刘启汉, 等. 利用MODIS研究中国东部地区气溶胶光学厚度的分布和季节变化特征 [J]. 科学通报, 2003, 48(19): 2094-2100.
[13] Qi Yulei, Ge Jianming, Huang Jianping. MODIS and MISR was compared with the AERONET aerosol optical thickness and the space-time distribution analysis in north China [J]. Chinese Science Bulletin, 2013, 58(17): 1670-1679(in Chinese).
齐玉磊, 葛觐铭, 黄建平. 北方地区MODIS和MISR与AERONET气溶胶光学厚度的比较及其时空分布分析 [J]. 科学通报, 2013, 58(17): 1670-1679.
[14] Wang Hongbing, Zhang Lei, Liu Ruijin, et al. Two kinds of MODIS aerosol products comparison in China [J]. Plateau Meteorological, 2011, 30(3): 772-783(in Chinese).
王宏斌, 张镭, 刘瑞金, 等. 中国地区两种MODIS气溶胶产品的比较分析 [J]. 高原气象, 2011, 30(3): 772-783.
[15] Kaufman Y J, Wald A E, Remer L A, et al. The MODIS 2.1 μm channel-correlation with visible reflectance for use in remote sensing of aerosol [J]. IEEE Trans. Geosci. Remote Sens., 1997, 35(5): 1286-1298.
[16] Levy R C, Remer L A, Mattoo S, et al. Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance [J]. J. Geophys. Res. Atmos., 2007, 112(D13): 3710-3711.
[17] Levy R C, Mattoo S, Munchak L A, et al. The Collection 6 MODIS aerosol products over land and ocean [J]. Atmos. Meas. Tech. Discuss., 2013, 6(1): 159-259. [18] Wang Jiacheng. Evaluation of the improved MODIS aerosol retrieval algorithm over ocean [J]. Journal of Fuyang Teachers College(Natural Science), 2012, 29(4): 9-13(in Chinese).
王家成. 改进的MODIS海洋气溶胶本征信息反演算法的验证 [J]. 阜阳师范学院学报: 自然科学版, 2012, 29(4): 9-13.
[19] Eck T F, Holben B N, Reid J S, et al. Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols [J]. J. Geophys. Res. Atmos., 1999, 104(D24): 31333-31349.
[20] Wang Yuesi, Xin Jinyuan, Li Zhanqing, et al. Atmospheric aerosol optical thickness and the Angstrom networking observation parameters in China [J]. Environ. Sci., 2006, 27(9): 1703-1711(in Chinese).
王跃思, 辛金元, 李占清, 等. 中国地区大气气溶胶光学厚度与Angstrom参数联网观测 [J]. 环境科学, 2006, 27(9): 1703-1711.
[21] Zhang Yuping, Yang Shizhi, Wang Xianhua, et al. The temporal characteristics of atmospheric aerosol optical depth over Hefei [J]. Journal of University of Science and Technology of China, 2010, 40(1): 15-19(in Chinese).
张玉平, 杨世植, 王先华, 等. 合肥地区气溶胶光学厚度的时间变化特征 [J]. 中国科学技术大学学报, 2010, 40(1): 15-19.
[22] Fan Jiao, Guo Baofeng, He Hongchang. Retrieval of aerosol optical thickness with MODIS data over Hangzhou [J]. Acta Optica Sinica, 2015, 35(1): 1-9(in Chinese).
范娇, 郭宝峰, 何宏昌. 基于MODIS数据的杭州地区气溶胶光学厚度反演 [J]. 光学学报, 2015, 35(1): 1-9.
[23] Zhou Chunyan, Liu Qinhuo, Tang Yong, et al. Comparison between MODIS aerosol product C004 and C005 and evaluation of their applicability in the north of China [J]. Journal of Remote Sensing, 2009, 13(5): 854-872(in Chinese).
周春艳, 柳钦火, 唐勇, 等. MODIS气溶胶C004、C005产品的对比分析及其在中国北方地区的适用性评价 [J]. 遥感学报, 2009, 13(5): 854-872.
[24] Hsu N C, Jeong M J, Bettenhausen C, et al. Enhanced Deep Blue aerosol retrieval algorithm: The second generation [J]. J. Geophys. Res. Atmos., 2013, 118(16): 9296-9315.
[25] Levy R C, Remer L A, Mattoo S, et al. Second-generation operation alalgorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance [J]. J. Geophys. Res. Atmos., 2007, 112(D13): 3710-3711.
[26] MODIS Atmosphere. Proposed collection 006 change document [DB/OL]. http://modis-atmos.gsfc.nasa.gov/_docs/Collection_006_Changes_Aerosol_v28.pdf.