Please wait a minute...
img

官方微信

遥感技术与应用  2009, Vol. 24 Issue (6): 749-756    DOI: 10.11873/j.issn.1004-0323.2009.6.749
技术研究与图像处理     
基于船载太阳光度计的中国海域MODIS卫星反演气溶胶光学参数验证
杨东旭1,2,刘  毅1,陈文忠3,董  文3
     
      
1.中国科学院大气物理研究所中层大气和全球环境探测实验室,北京  100029;
2.中国科学院研究生院,北京  100049; 3.中国海洋大学,山东 青岛  266003
Validation of MODIS Aerosol Products over East China Sea
YANG Dong-xu 1,2,LIU Yi 1,CHEN Wen-zhong 3,DONG Wen3
1.Key Laboratory of Middle Atmosphere and Global Environment Observation,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;
2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China;
3.Ocean University of China,Qingdao 266100,China
       
 全文: PDF(2473 KB)  
摘要:

利用2006~2007年中国海洋大学东方红2号科考船在中国黄海和东海海域的POM-01MK2太阳光度计气溶胶光学参数的观测资料,与MODIS反演结果进行比较,给出了光学厚度、| ngstrm指数和粒子有效半径的对比结果。结果表明:两种观测方法得到的气溶胶光学厚度的一致性较好,相关系数(标准差)达0.97(0.08),73%的对比结果在期望误差(Δτ=±0.03±0.05τ)之内;季节分类对比结果,秋季和春季相关系数(标准差)均为0.97(0.08);海域分类对比结果,黄海北部海域和黄海南部海域相关系数(标准差)分别为0.98(0.08)和0.76(0.10)。MODIS反演得到的| ngstrm指数偏低,相关系数(标准差)为0.67(0.23);按季节分类得到,秋季和春季相关系数(标准差)分别为0.71(0.27)和0.62(0.19);按海域分类得到,黄海北部海域和黄海南部海域相关系数(标准差)分别为0.87(0.07)和0.70(0.30)。粒子有效半径的对比结果偏差和离散度较大,相关系数(标准差)仅为0.31(0.10)。造成这种现象的原因可能是该海域沙尘气溶胶和人类源二次气溶胶浓度较高导致海上气溶胶光学性质同MODIS反演中使用的光学参量有较大差别。
     

关键词: 气溶胶光学参数;MODIS卫星遥感中国海域    
Abstract:

Based on shipboard sun photometer POM-01 MKⅡ measurement of aerosol optical properties over East China Sea in 2006 and 2007,MODIS aerosol products,such as aerosol optical depth (AOD),| ngstm index and particle effective radius,are validated.AOD validation results show well agreement between two measurements with related coefficient (standard deviation (SD)) of 0.97 (0.08),and 73% data fall within the predicted uncertainty region (Δτ=±0.03±0.05τ); Related coefficient (SD) in spring and autumn all are 0.97 (0.08),and in northern Yellow Sea and southern Yellow Sea is 0.98 (0.08) and 0.76 (0.10) respectively.Related coefficient (SD) of | ngstm index validation results is 0.67(0.23); related coefficient (SD) in spring and autumn is 0.71 (0.27) and 0.62 (0.19),and in northern Yellow Sea and southern Yellow Sea is 0.87 (0.07) and 0.70 (0.30) respectively.Validation results of effective radius show larger uncertainty between MODIS and shipboard measurement than AOD and | ngstm index,and related coefficient (SD) is 0.31 (0.10).
 

Key words: Aerosol optical properties    MODIS    Remote sensing    East China Sea
收稿日期: 2009-03-08 出版日期: 2012-01-06
基金资助:

国家重点基础研究发展计划973项目(2006CB403702),国家自然科学基金重点项目(60638020),公益性行业(气象)科研专项(GYHY(QX)2007-6-36)。 
     

通讯作者: 刘毅(1961- ),男,研究员,博士生导师,研究方向为卫星遥感气溶胶光学特性。 E-mail:liuyi@mail.iap.ac.cn。      E-mail: E-mail:liuyi@mail.iap.ac.cn。
作者简介: 杨东旭(1985- ),男,硕士研究生,研究方向为卫星遥感气溶胶光学特性。E-mail:dpluto@mail.ustc.edu.cn。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
杨东旭
刘毅
陈文忠
董文

引用本文:

杨东旭, 刘毅, 陈文忠, 董文. 基于船载太阳光度计的中国海域MODIS卫星反演气溶胶光学参数验证[J]. 遥感技术与应用, 2009, 24(6): 749-756.

YANG Dong-Xu, LIU Yi, CHEN Wen-Zhong, DONG Wen. Validation of MODIS Aerosol Products over East China Sea. Remote Sensing Technology and Application, 2009, 24(6): 749-756.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2009.6.749        http://www.rsta.ac.cn/CN/Y2009/V24/I6/749

 [1] Kaufman Y J,Tanré D.Algorithm for Remote Sensing of Tropospheric Aerosol from MODIS[Z].Algorithm Theoretical Basis Documents (ATBD-MOD-02),85.
 [2] Li Z,Niu F,Lee K.Validation and Understanding of Moderate Resolution Imaging Spectroradiometer Aerosol Products (C5) Using Ground-based Measurements from the Handheld Sun Photometer Network in China[J].Journal of Geophysical Research,2007,112(D22S07):1-16.
 [3] Mi W,Li Z,Xia X,et al.Evaluation of the Moderate Resolution Imaging Spectroradiometer Aerosol Products at Two Aerosol Robotic Network Stations in China[J].Journal of Geophysical Research,2007,112(D22S08):1-14.
 [4]   Holben B,Kaufman Y,Eck T,et al.AERONET- A Federated Instrument Network and Data Archive for Aerosol Characterization[J].Remote Sensing of Environment,1998,66(1):1-16. 
 [5] Hsu N,Tsay S,King M,et al.Deep Blue Retrievals of Asian Aerosol Properties During ACE-Asia[J].IEEE Transactions on Geoscience and Remote Sensing,2006,44(11):3180-3195.
 [6] Remer L A,Tanré D,Kaufman Y J,et al.Validation of MODIS Aerosol Retrieval over Ocean[J].Geophysical Research Letters,2002,29(12),8008:1-4.
 [7] Remer L A,Kaufman Y J,Tanré D,et al.The MODIS Aerosol Algorithm,Products and Validation[J].Journal of the Atmospheric Sciences,2005,62(4):947-973.
 [8] Dong Haiying,Liu Yi,Guan Zhaoyong.Validation of MODIS Aerosol Optical Depth Retrievals over East China Sea[J].2007,30(3):328-337.[董海鹰,刘毅,管兆勇.MODIS遥感中国近海气溶胶光学厚度的检验分析[J].南京气象学院学报,2007,30(3):328-337.]
 [9] Liu Yi,Dong Haiying,Guan Zhaoyong.The Comparison of Aerosol Optical Parameter between MODIS and Two-channel Retrieval Algorithm over East China Sea[J].Remote Sensing Technology and Application,2008,23(2):117-124.[刘毅,董海鹰,管兆勇.双通道算法与 MODIS 算法反演中国近海气溶胶光学特性的对比研究[J].遥感技术与应用,2008,23(2):117-124.]
10] Chu D A,Remer L A,Kaufman Y J,et al.Evaluation of Aerosol Properties over Ocean from Moderate Resolution Imaging Spectroradiometer (MODIS) during ACE-Asia[J].Journal of Geophysical Research,2005,110(D7):1-23.
11] Che H,Shi G,Uchiyama A,et al.Intercomparison between Aerosol Optical Properties by a PREDE Skyradiometer and CIMEL Sunphotometer over Beijing,China[J].Atmospheric Chemistry and Physics,2007,7:16023-16053.
12] Pietras C,Frouin R,Nakajima T,et al.Aerosol Properties Derived from the PREDE POM-01 MarkⅡ Sun Photometer[C].American Geophysical Union,Fall Meeting 2001,Abstract No.OS52A-0531,2001.
13] Ichoku C,Chu D,Mattoo S,et al.A Spatio-temporal Approach for Global Validation and Analysis of MODIS Aerosol Products[J].Geophysical Research Letters,2002,29(12),8006:1-4.
14] Ichoku C,Remer L,Eck T.Quantitative Evaluation and Intercomparison of Morning and Afternoon Moderate Resolution Imaging Spectroradiometer (MODIS) Aerosol Measurements from Terra and Aqua[J].Journal of Geophysical Research,2005,110,D10S03:1-29.
15] 〖AKA。〗ngstrm A.On the Atmospheric Transmission of Sun Radiation and on Dust in the Air[J].Geografiska Annaler,1929,11:156-166.
16] 〖AKA。〗ngstrm A.On the Atmospheric Transmission of Sun Radiation Ⅱ[J].Geografiska Annaler,1930,12:130-159.

[17] Schuster G L,Dubovik O,Holben B.Angstrom Exponent and Bimodal Aerosol Size Distributions[J].Journal of Geophysical Research,2006,111(D7):1-14. 

[1] 周为峰,曹利,李小恕,程田飞. 沿海牡蛎养殖的WorldView-2影像融合方法评价[J]. 遥感技术与应用, 2018, 33(1): 103-109.
[2] 陈洋波,张涛,窦鹏,董礼明,陈华. 基于SVM的东莞市土地利用/覆被自动分类误差来源与后处理[J]. 遥感技术与应用, 2017, 32(5): 893-903.
[3] 张晗,余超,苏林,王雅鹏,陈良富. 基于OMI卫星遥感评估2015年阅兵期间华北地区SO2和NO2减排成效[J]. 遥感技术与应用, 2017, 32(4): 734-742.
[4] 郭俊如,宋军,鲍献文,李静. 东中国海遥感叶绿素数据重构方法研究[J]. 遥感技术与应用, 2016, 31(5): 939-949.
[5] 张升兰,刘海磊,邓小波,闵文彬. 卫星红外高光谱反演大气水汽含量[J]. 遥感技术与应用, 2014, 29(4): 575-580.
[6] 蒙继华,吴炳方. 基于卫星遥感预测作物成熟期的可行性分析[J]. 遥感技术与应用, 2013, 28(2): 165-173.
[7] 刘珠妹,刘亚岚,谭衢霖,任玉环. 高分辨率卫星影像车辆检测研究进展[J]. 遥感技术与应用, 2012, 27(1): 8-14.
[8] 刘微微,盛庆红,姬亭,王惠南. 高分辨率卫星遥感影像严格几何定位模型发展综述[J]. 遥感技术与应用, 2011, 26(5): 677-681.
[9] 李军,韩志刚,陈洪滨,赵增亮,吴宏议. 静止气象卫星遥感探测华北平原秋季大雾研究[J]. 遥感技术与应用, 2011, 26(2): 186-195.
[10] 刘毅,吕达仁,陈洪滨,杨东旭,闵敏. 卫星遥感大气CO2的技术与方法进展综述[J]. 遥感技术与应用, 2011, 26(2): 247-254.
[11] 钱金波, 马明国. 遥感技术在毒草识别中的研究进展[J]. 遥感技术与应用, 2009, 24(5): 685-690.
[12] 马金峰,詹海刚,陈楚群,唐世林. 赤潮卫星遥感监测与应用研究进展[J]. 遥感技术与应用, 2008, 23(5): 604-610.
[13] 刘毅,董海鹰,管兆勇. 双通道算法与MODIS算法反演中国近海气溶胶光学特性的对比研究[J]. 遥感技术与应用, 2008, 23(2): 117-124.
[14] 邓 军, 白 洁, 刘健文. 基于EOS/MODIS 的云雾光学厚度和有效粒子半径反演研究[J]. 遥感技术与应用, 2006, 21(3): 220-226.
[15] 许军强, 邢立新, 潘 军. 遥感技术在高压输电线选线中的应用[J]. 遥感技术与应用, 2006, 21(2): 168-172.