Further numerical studies of backscattering from time-evolving nonlinear sea surfaces

被引:36
|
作者
Hayslip, AR [1 ]
Johnson, JI
Baker, GR
机构
[1] Northrop Grumman, Linthicum, MD 21090 USA
[2] Ohio State Univ, Dept Elect Engn, Columbus, OH 43210 USA
[3] Ohio State Univ, Electro Sci Lab, Columbus, OH 43210 USA
[4] Ohio State Univ, Dept Math, Columbus, OH 43210 USA
来源
关键词
Doppler spectrum; rough surface scattering; ocean remote sensing;
D O I
10.1109/TGRS.2003.814662
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Previous studies have demonstrated that the West et al. numerical model for nonlinear hydrodynamic evolution of a sea surface produces significant features in calculated L-band backscattered Doppler spectra compared to a linear sea surface evolution model. These prior comparisons were limited, however, to a maximum wind speed of 2.0 m/s due to failure of the West et al. algorithm when steep short-wave features formed on the surface. In this paper, L-band Doppler spectra with the West et al. model are reported for wind speeds up to 5.0 m/s through the use of a curvature filter to reduce these steep short waves. The higher wind speed results again show significant deviations from those reported with a linear hydrodynamic model, including increased spectral broadening and polarization dependencies.
引用
收藏
页码:2287 / 2293
页数:7
相关论文
共 50 条
  • [1] A numerical study of backscattering from time-evolving sea surfaces: Comparison of hydrodynamic models
    Johnson, JT
    Toporkov, JV
    Brown, GS
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (11): : 2411 - 2420
  • [2] Further numerical studies of backscattering from time evolving non-linear sea surfaces
    Hayslip, AR
    Johnson, JT
    Baker, GR
    [J]. IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 3011 - 3013
  • [3] GPU-Accelerated Computation of Time-Evolving Electromagnetic Backscattering Field From Large Dynamic Sea Surfaces
    Linghu, Longxiang
    Wu, Jiaji
    Wu, Zhensen
    Jeon, Gwanggil
    Wang, Xiaobin
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (05) : 3187 - 3197
  • [4] Numerical study on the phase and amplitude statistics of backscattered signals from time-evolving sea surfaces
    Li, X.
    Xu, X.
    [J]. IET RADAR SONAR AND NAVIGATION, 2011, 5 (05): : 551 - 560
  • [5] Doppler Spectral Analysis for Two-Dimensional Time-Evolving Nonlinear Sea Surfaces
    Li, Xiaofei
    Xu, Xiaojian
    [J]. AUTOMATIC TARGET RECOGNITION XX; ACQUISITION, TRACKING, POINTING, AND LASER SYSTEMS TECHNOLOGIES XXIV; AND OPTICAL PATTERN RECOGNITION XXI, 2010, 7696
  • [6] Second-Order Bragg Scattering Theory for Time-Evolving Nonlinear Sea Surfaces
    Zhang, Xiaoxiao
    Su, Xiang
    Wu, Zhensen
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 20
  • [7] Numerical study of microwave backscattering from time-evolving JONSWAP-type mixed ocean waves
    Nie, Ding
    Jiang, Wangqiang
    Li, Ning
    [J]. REMOTE SENSING LETTERS, 2017, 8 (11) : 1034 - 1041
  • [8] Simulated HF Doppler spectra obtained with an exact modeling of the EM backscattering by 3D time-evolving sea surfaces
    Demarty, Yael
    Thirion-Lefevre, Laetitia
    Lesturgie, Marc
    [J]. 2008 INTERNATIONAL CONFERENCE ON RADAR, VOLS 1 AND 2, 2008, : 356 - +
  • [9] Time-evolving statistics of cavitation damage on metallic surfaces
    Diodati, P
    Marchesoni, F
    [J]. ULTRASONICS SONOCHEMISTRY, 2002, 9 (06) : 325 - 329
  • [10] Hybrid numerical scheme for time-evolving wave fields
    Lilis, G. N.
    Halder, A.
    Telukunta, S.
    Servetto, S.
    [J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2007, 71 (03) : 277 - 312