Ocean surface foam modeling for passive remote sensing of ocean surface wind vectors

被引:1
|
作者
Kunkee, DB [1 ]
机构
[1] Aerospace Corp, Los Angeles, CA 90009 USA
关键词
D O I
10.1109/IGARSS.1998.702205
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
A method of incorporating ocean surface foam into a combined asymmetric wave geometrical optics (AWGO) ocean surface emission model using dielectric mixing theory is investigated. Dielectric mixing represents a more direct method of deriving the emissivity of ocean foam within in the AWGO emission model compared with the current AWGO foam emissivity values which are based upon models derived from airborne brightness temperature measurements of ocean foam. Unfortunately, these observations may not reflect the proper sea state or other relevant conditions that are desired within the model. Using dielectric mixing, knowledge of the void fraction within a foam-covered area, is used to compute the emission characteristics of a surface facet. This latter technique perhaps will allow better fidelity in ocean foam emission modeling provided that data. concerning the bubble density, bubble size distributions, and foam patch locations are well known. Comparison of AWGO model brightness temperatures using the above two methods of modeling foam emissivity illustrate the sensitivity to foam in the computed azimuthal wind direction signatures.
引用
收藏
页码:2336 / 2338
页数:3
相关论文
共 50 条
  • [21] Combined active and passive microwave sensing of ocean surface wind vector from TRMM
    Jones, WL
    Soisuvarn, S
    Park, J
    Adams, I
    Kasparis, T
    OCEANS 2002 MTS/IEEE CONFERENCE & EXHIBITION, VOLS 1-4, CONFERENCE PROCEEDINGS, 2002, : 1981 - 1986
  • [22] Combined active and passive microwave sensing of ocean surface wind vector from TRMM
    Soisuvarn, S
    Jones, WL
    Kasparis, T
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 1257 - 1260
  • [23] Ocean surface partitioning strategies using ocean colour remote Sensing: A review
    Anne Krug, Lilian
    Platt, Trevor
    Sathyendranath, Shubha
    Barbosa, Ana B.
    PROGRESS IN OCEANOGRAPHY, 2017, 155 : 41 - 53
  • [24] SURFACE SCATTERING AND EMISSION MODELS FOR OCEAN SURFACE SALINITY REMOTE SENSING
    Zhu, Jie
    Zhang, Xiangkun
    Liu, Hao
    Cai, Yongjun
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014,
  • [25] A NEW PROGRESS IN OCEAN SURFACE WIND VECTOR DETECTION USING MICROWAVE REMOTE SENSING
    JIANG Jingshan
    WANG Xinzhong
    DONG Xiaolong
    HUANG Jing Center for Space Science and Applied ResearehThe Chinese Acedemy of Sciences Beijing
    空间科学学报, 1998, (S1) : 75 - 86
  • [26] Satellite remote sensing of ultraviolet irradiance on the ocean surface
    Teng Li
    Delu Pan
    Yan Bai
    Gang Li
    Xianqiang He
    Chen-Tung Arthur Chen
    Kunshan Gao
    Dong Liu
    Hui Lei
    Acta Oceanologica Sinica, 2015, 34 : 101 - 112
  • [27] The Surface Water and Ocean Topography Mission: A Breakthrough in Radar Remote Sensing of the Ocean and Land Surface Water
    Fu, Lee-Lueng
    Pavelsky, Tamlin
    Cretaux, Jean-Francois
    Morrow, Rosemary
    Farrar, J. Thomas
    Vaze, Parag
    Sengenes, Pierre
    Vinogradova-Shiffer, Nadya
    Sylvestre-Baron, Annick
    Picot, Nicolas
    Dibarboure, Gerald
    GEOPHYSICAL RESEARCH LETTERS, 2024, 51 (04)
  • [28] Satellite remote sensing of ultraviolet irradiance on the ocean surface
    LI Teng
    PAN Delu
    BAI Yan
    LI Gang
    HE Xianqiang
    CHEN Chen-Tung Arthur
    GAO Kunshan
    LIU Dong
    LEI Hui
    Acta Oceanologica Sinica, 2015, 34 (06) : 101 - 112
  • [29] Satellite remote sensing of ultraviolet irradiance on the ocean surface
    Li Teng
    Pan Delu
    Bai Yan
    Li Gang
    He Xianqiang
    Chen, Chen-Tung Arthur
    Gao Kunshan
    Liu Dong
    Lei Hui
    ACTA OCEANOLOGICA SINICA, 2015, 34 (06) : 101 - 112
  • [30] A sea surface fractal model for ocean remote sensing
    Berizzi, F
    Mese, ED
    Martorella, M
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (7-8) : 1265 - 1270