留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于Argo浮标数据的星载微波辐射计Aquarius 数据产品质量评估

王进 张杰 王晶

王进, 张杰, 王晶. 基于Argo浮标数据的星载微波辐射计Aquarius 数据产品质量评估[J]. 海洋学报, 2015, 37(3): 46-53. doi: 10.3969/j.issn.0253-4193.2015.03.005
引用本文: 王进, 张杰, 王晶. 基于Argo浮标数据的星载微波辐射计Aquarius 数据产品质量评估[J]. 海洋学报, 2015, 37(3): 46-53. doi: 10.3969/j.issn.0253-4193.2015.03.005
Wang Jin, Zhang Jie, Wang Jing. Quality assessment of spaceborne microwave radiometer Aquarius data product based on Argo buoy data[J]. Haiyang Xuebao, 2015, 37(3): 46-53. doi: 10.3969/j.issn.0253-4193.2015.03.005
Citation: Wang Jin, Zhang Jie, Wang Jing. Quality assessment of spaceborne microwave radiometer Aquarius data product based on Argo buoy data[J]. Haiyang Xuebao, 2015, 37(3): 46-53. doi: 10.3969/j.issn.0253-4193.2015.03.005

基于Argo浮标数据的星载微波辐射计Aquarius 数据产品质量评估

doi: 10.3969/j.issn.0253-4193.2015.03.005
基金项目: 国家海洋局海洋遥测工程技术研究中心开放基金(2013002)。

Quality assessment of spaceborne microwave radiometer Aquarius data product based on Argo buoy data

  • 摘要: Aquarius是专门用于海洋盐度监测的L波段辐射计,于2011年6月发射入轨,目前已进入业务化运行阶段。本文以太平洋为研究区域,利用Argo盐度现场数据对星载微波辐射计Aquarius的2012年2级数据产品质量进行了分析与讨论,结果表明:与Argo数据比较,Aquarius数据盐度存在0.1的负偏差,标准差约为0.7,升轨和降轨数据差异不明显;受亮温陆地污染和无线电射频干扰的影响,近岸海域反演误差较大;海面温度较高的低纬海域反演结果优于中纬度海域;受亮温敏感性及粗糙海面发射率模型的影响,Aquarius在低温水域以及高风速条件下盐度反演误差较大,标准差可达1以上。
  • 冯士筰,李凤岐,李少菁. 海洋科学导论[M]. 北京:高等教育出版社,1999. Feng Shizuo,Li Fengqi,Li Shaojing. An Introduction of Ocean Sciences[M]. Beijing: Higher Education Press,1999.
    王新新,赵冬至,杨建洪,等. 海表面盐度卫星微波遥感研究进展[J]. 遥感技术与应用,2012,27(5): 671-679. Wang Xinxin,Zhao Dongzhi,Yang Jianhong,et al. Progress in SSS (sea surface salinity) microwave remote sensing by satellite[J]. Remote Sensing Technology and Application,2012,27(5): 671-679.
    李志. 海洋表层盐度遥感反演机理及应用研究 [D]. 青岛:中国海洋大学,2008. Li Zhi. The study of sea surface salinity retrieval model at L-band [D]. Qingdao: Ocean University of China,2008.
    Font J,Camps A,Borges A,et al. SMOS: The challenging sea surface salinity measurement from space[J]. Proceedings of the IEEE,2010,98(5): 649-665.
    Vine D,Lagerloef G,Torrusio S. Aquarius and remote sensing of sea surface salinity from space[J]. Proceedings of the IEEE,2010,98(5): 688-703.
    Vine D,Lagerloef G,Colomb F,et al. Aquarius: an instrument to monitor sea surface salinity from space[J]. IEEE Trans Geosci Remote Sens,2007,45(7): 2040-2050.
    Barré H,Duesmann B,Smos K Y. The mission and the system[J]. IEEE Trans Geosci Remote Sens,2008,46(3): 587-593.
    Yin X,Boutin J,Martin N,et al. Optimization of L-band sea surface emissivity models deduced from SMOS data[J]. IEEE Trans Geosci Remote Sens,2012,50(5): 1414-1426.
    Mecklenburg S,Drusch M,Kerr Y,et al. ESAs soil moisture and ocean salinity mission: mission performance and operations[J]. IEEE Trans Geosci Remote Sens,2012,50(5): 1354-1366.
    Yin X,Boutin J,Spurgeon P. First assessment of SMOS data over open ocean: Part I-Pacic Ocean[J]. IEEE Trans Geosci Remote Sens,2012,50(5): 1648-1661.
    Boutin J,Martin N,Yin X. First assessment of SMOS data over open ocean: Part II-sea surface salinity[J]. IEEE Trans Geosci Remote Sens,2012,50(5): 1662-1675.
    Reul N,Tenerelli J,Boutin J. Overview of the first SMOS sea surface salinity products. Part I: quality assessment for the second half of 2010[J]. IEEE Trans Geosci Remote Sens,2012,50(5): 1636-1647.
    Banks C,Gommenginger C,Srokosz M,et al. Validating SMOS ocean surface salinity in the Atlantic with Argo and operational ocean model data[J]. IEEE Trans Geosci Remote Sens,2012,50(5): 1688-1702.
    Subrahmanyam B,Grunseich G,Nyadjro E. Preliminary SMOS salinity measurements and validation in the Indian Ocean[J]. IEEE Trans Geosci Remote Sens,2013,51(1):19-27.
    Ebuchi E,Abe H. Evaluation of sea surface salinity observed by Aquarius [C]. IGRASS,2012: 5767-5769.
    王新新,杨建洪,赵冬至,等. Aquarius/SAC-D卫星盐度数据在中国南海的准确度评估[J]. 热带海洋学报,2013,32(5): 23-28. Wang Xinxin,Yang Jianhong,Zhao Dongzhi,et al. Assessment of Aquarius/SAC-D salinity data accuracy in the South China Sea[J]. Journal of Tropical Oceanography,2013,32(5): 23-28.
    王新新,杨建洪,赵冬至,等. SMOS卫星盐度数据在中国近岸海域的准确度评估[J]. 海洋学报,2013,35(5): 169-176. Wang Xinxin,Yang Jianhong,Zhao Dongzhi,et al. SMOS satellite salinity data accuracy assessment in the China coastal areas[J].Haiyang Xuebao,2013,35(5): 169-176.
    Klein L,Swift C. An improved model for the dielectric con-stant of sea water at microwave frequencies[J]. IEEE J Oceanic Eng,1977,OE-2: 104-111.
    史久新,朱大勇,赵进平. 海水盐度遥感反演精度的理论分析[J]. 高技术通信,2004,14(7): 101-105. Shi Jiuxin,Zhu Dayong,Zhao Jinping. Theoretic analysis on the retrieval precision of ocean salinity remote sensing[J]. High Technology Letters,2004,14(7): 101-105.
    齐震,魏恩泊,刘淑波. 粗糙海面L和C波段的代价函数多参量遥感反演分析[J]. 海洋科学,2012,36(1): 100-107. Qi Zhen,Wei Enbo,Liu Shubo. Rough sea surface cost function retrieval models for L and C band[J]. Marine Sciences,2012,36(1): 100-107.
    Qi Zhen,Wei Enbo. Analysis of cost functions for retrieving sea surface salinity[J]. Journal of Ocean University of China,2012,11(2):147-152.
    Yueh S,Dinardo S,Fore A,et al. Passive and active L-band microwave observations and modeling of ocean surface winds[J]. IEEE Trans Geosci Remote Sens,2010,48(8): 3087-3100.
    Wentz F. Aquarius salinity retrieval algorithm,Algorithm Theoretical Basis Document [R].RSS Technical Report 082912,Remote Sensing Systems,Santa Rosa,California, 2012.
  • 加载中
计量
  • 文章访问数:  1637
  • HTML全文浏览量:  12
  • PDF下载量:  1068
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-12-20

目录

    /

    返回文章
    返回