XIE Xuetong, WEN Ya, HUANG Zhou. An advanced wind vector retrieval algorithm for the rotating fan-beam scatterometer[J]. Acta Oceanologica Sinica, 2017, 36(5): 83-89. doi: 10.1007/s13131-017-1062-7
Citation: XIE Xuetong, WEN Ya, HUANG Zhou. An advanced wind vector retrieval algorithm for the rotating fan-beam scatterometer[J]. Acta Oceanologica Sinica, 2017, 36(5): 83-89. doi: 10.1007/s13131-017-1062-7

An advanced wind vector retrieval algorithm for the rotating fan-beam scatterometer

doi: 10.1007/s13131-017-1062-7
  • Received Date: 2016-05-07
  • The rotating fan-beam scatterometer (RFSCAT) is a new type of satellite scatterometer that is proposed approximately 10 a ago. However, similar to other rotating scatterometers, relatively larger wind retrieval errors occur in the nadir and outer regions compared with the middle regions of the swath. For the RFSCAT with the given parameters, a wind direction retrieval accuracy decreases by approximately 9 in the outer regions compared with the middle region. To address this problem, an advanced wind vector retrieval algorithm for the RFSCAT is presented. The new algorithm features an adaptive extension of the range of wind direction for each wind vector cell position across the whole swath according to the distribution histogram of a retrieved wind direction bias. One hundred orbits of Level 2A data are simulated to validate and evaluate the new algorithm. Retrieval experiments demonstrate that the new advanced algorithm can effectively improve the wind direction retrieval accuracy in the nadir and outer regions of the RFSCAT swath. Approximately 1.6 and 9 improvements in the wind direction retrieval are achieved for the wind vector cells located at the nadir and the edge point of the swath, respectively.
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  • Arnús M P. 2002. Wind field retrieval from satellite radar systems[dissertation]. Barcelona:University of Barcelona
    Chi C Y, Li F K. 1988. A comparative study of several wind estimation algorithms for spaceborne scatterometers. IEEE Transactions on Geoscience and Remote Sensing, 26(2):115-121
    Dunbar R S. 2006. Level 2B data software interface specification (SIS-2):QuikSCAT Era.ftp://www.scp.byu.edu/data/qscat/docs/L2B_SIS_200609.pdf[2006-09-27/2013-05-15]
    Fischer R. 1972. Standard deviation of scatterometer measurements from space. IEEE Transactions on Geoscience Electronics, 10(2):106-113
    Freilich M H. 2000. SeaWinds algorithm theoretical basis document. http://eospso.nasa.gov/sites/default/files/atbd/atbd-sws-01.pdf[1996-07-19/2002-09-11]
    JPL. 2003. SeaWinds on ADEOS-Ⅱ Level 2B ocean wind vectors in 25 km swath. Version 1. 2. Provo:Brigham Young University, http://www.scp.byu.edu/pub/docs/ProjDocs/SWS_L2B.pdf[2003-10-14/2016-08-13]
    Lin C C, Stoffelen A, de Kloe J, et al. 2003. Wind retrieval capability of rotating, range-gated, fanbeam spacborne scatterometer. In:Proceedings of SPIE-Sensors, Systems, and Next-Generation Satellites. Washington:Bellingham, 4881:268-279
    Long D G, Chi C Y, Li F. 1988. The design of an onboard digital Doppler processor for a spaceborne scatterometer. IEEE Transactions on Geoscience and Remote Sensing, 26(6):869-878
    Lungu T. 2001. QuikSCAT science data product user's manual. Version 2.2. Provo:Brigham Young University, ftp://www.scp. byu.edu/pub/docs/ProjDocs/QSUG4-4.pdf[2005-12-09/2010-08-26]
    Shaffer S J, Dunbar R S, Hsiao S V, et al. 1991. A median-filter-based ambiguity removal algorithm for NSCAT. IEEE Transactions on Geoscience and Remote Sensing, 29(1):167-174
    Stiles B W, Pollard B D, Dunbar R S. 2002. Direction interval retrieval with thresholded nudging:a method for improving the accuracy of QuikSCAT winds. IEEE Transactions on Geoscience and Remote Sensing, 40(1):79-89
    Ulaby F T, Moore R K, Fung A K. 1986. Microwave Remote Sensing:Active and Passive, Vol. 3. Norwood:Artech House, 1065-2162
    Wang Zhixiong, Zhao Chaofang, Zou Juhong, et al. 2015. An improved wind retrieval algorithm for the HY-2A scatterometer. Chinese Journal of Oceanology and Limnology, 33(5):1201-1209
    Kloe J, Stoffelen A. 2003. Optimisation of rotating, range-gated fanbeam scatterometer for wind retrieval. Task 3a Report:Fom Definition and Validation. Amsterdam:Royal Netherlands Meteorological Institute. http://projects.knmi.nl/publications/fulltexts/rfscat_task_3a_report.pdf[2003-04-03/2008-12-25]
    Xie Xuetong, Huang Zhou, Lin Mingsen, et al. 2013. A novel integrated algorithm for wind vector retrieval from conically scanning scatterometers. Remote Sensing, 5(12):6180-6197
    Xie Xuetong, Lin Mingsen, Huang Zhou, et al. 2010. A modified wind vector retrieval algorithm for polarimetric scatterometer. In:Proceedings of 2010 IEEE International Geoscience and Remote Sensing Symposium. Honolulu:Curran Associates, 4184-4187
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