A Monte Carlo Emissivity Model for Wind-Roughened Sea Surface

被引:18
|
作者
Cheng, Jie [1 ,2 ,3 ]
Cheng, Xiaolong [1 ,2 ]
Meng, Xiangchen [1 ,2 ]
Zhou, Guanhua [4 ]
机构
[1] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[2] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[3] Beijing Normal Univ, Fac Geog Sci, Inst Remote Sensing Sci & Engn, Beijing Engn Res Ctr Global Land Remote Sensing P, Beijing 100875, Peoples R China
[4] Beihang Univ, Sch Instrument Sci & Optoelect Engn, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
sea surface emissivity; Monte Carlo model; ray-tracing; broadband emissivity; thermal-infrared; SST; INFRARED EMISSIVITY; TEMPERATURE; ANGLES; FOAM;
D O I
10.3390/s19092166
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Sea surface emissivity (SSE) is a key variable in the estimation of sea surface temperature and the sea surface radiation budget. A physical base SSE model with adequate accuracy and acceptable computational efficiency is highly desired. This paper develops a Monte Carlo ray-tracing model to compute the SSE of a wind-roughened sea surface. The adoption of a two-dimensional continuous surface model and averaging the two polarization components in advance before ray-tracing gives the model acceptable computational efficiency. The developed model can output the contributions of direct emission and the reflected component to the effective emissivity. The contribution of the reflected component to the effective emissivity reaches 0.035 at an 80 degrees emission angle for a wind speed larger than 10 m/s. The emissivity spectra and channel emissivities collected from two field campaigns and one set of outdoor measurements are used to validate the developed model. Statistical results indicate that the absolute value of bias or difference is less than 0.5% when the view angle is less than 65 degrees, which means the retrieval accuracy of sea surface temperature (SST) is guaranteed from the view of SSE. When the view angle increases, the accuracy of the developed model degraded, especially at the view angle of 85 degrees. Without considering this view angle, the absolute value of bias or difference is less than 0.016, and the root mean square difference (RMSD) is less than 0.018.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Field studies on the action of rain on the radar backscattering from wind-roughened water surfaces
    Braun, N
    Gade, M
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 2248 - 2250
  • [32] MODELING L-BAND EMISSIVITY OF A WIND-DRIVEN SEA SURFACE
    Raizer, Victor
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 2047 - 2050
  • [33] Evaluation on effective emissivity of a surface with homocentric V-grooves by Monte-Carlo method
    Zhang, H
    Dai, JM
    System Simulation and Scientific Computing, Vols 1 and 2, Proceedings, 2005, : 124 - 128
  • [34] EMISSIVITY OF SEA-SURFACE
    GARDASHEV, RG
    SHIFRIN, KS
    IZVESTIYA AKADEMII NAUK SSSR FIZIKA ATMOSFERY I OKEANA, 1983, 19 (07): : 771 - 773
  • [35] A microwave emissivity model of sea surface under wave breaking
    Wei, EB
    Ge, Y
    CHINESE PHYSICS, 2005, 14 (06): : 1259 - 1264
  • [36] A modified model for specular sea surface emissivity at microwave frequencies
    Cruz-Pol, SL
    Ruf, CS
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (02): : 858 - 869
  • [37] EMISSIVITY, THERMAL ALBEDO AND EFFECTIVE EMISSIVITY OF THE SEA AT DIFFERENT WIND SPEEDS
    GARDASHOV, RG
    SHIFRIN, KS
    ZOLOTOVA, JK
    OCEANOLOGICA ACTA, 1988, 11 (02) : 121 - 124
  • [38] An MPI-accelerated Monte Carlo algorithm for estimating the reflectance and transmittance properties of a wind-driven sea surface
    Yang, Yu
    Guo, Lixin
    OPTICAL REVIEW, 2022, 29 (01) : 34 - 50
  • [39] An MPI-accelerated Monte Carlo algorithm for estimating the reflectance and transmittance properties of a wind-driven sea surface
    Yu Yang
    Lixin Guo
    Optical Review, 2022, 29 : 34 - 50
  • [40] Monte Carlo studies of a Finsler geometric surface model
    Koibuchi, Hiroshi
    Sekino, Hideo
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2014, 393 : 37 - 50