Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review, editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Full name
E-mail
Phone number
Title
Message
Verification Code
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

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

doi: 10.3969/j.issn.0253-4193.2015.03.005
  • Received Date: 2013-12-20
  • Aquarius is a spaceborne L-band radiometer whose mission focuses on the measurement of sea surface salinity from space. Aquarius was successfully launched on June 2011 and has been working operationally for more than two years. This research shows the preliminary results of quality assessment of Aquarius salinity data product based on the Argo buoy data for 2012. The results reveal that the standard deviation of the error of the Aquarius L2 data is about 0.7,with a negative mean bias of -0.1. There is little difference between ascending and descending orbits data. The data quality degrades in coastal region because of the impact of land contamination and RFI. Because that the brightness temperature sensitivity is affected by the sea surface temperature,larger errors are observed in the region of low SST and higher latitude. The performance of sea surface emissivity model with wind-induced roughness in current salinity retrieval algorithm degrades under high wind speed,so large discrepancies are observed with the standard deviation of more than 1.
  • loading
  • 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

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views (1637) PDF downloads(1068) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return