SEA SURFACE WIND SPEED INVERSION USING LOW INCIDENT NRCS

被引:1
|
作者
Bao, Qingliu [1 ,2 ]
Zhang, Youguang [1 ]
An, Wentao [1 ]
Cui, Limin [1 ]
Lang, Shuyan [1 ]
Lin, Mingsen [1 ]
Gong, Peng [2 ]
机构
[1] Natl Satellite Ocean Applicat Serv, Beijing 100081, Peoples R China
[2] Tsinghua Univ, Ctr Earth Syst Sci, Beijing 100084, Peoples R China
来源
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年
关键词
wind speed inversion; low incident angle NRCS; mean square slop; GMF model;
D O I
10.1109/IGARSS.2016.7730205
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As the launch of radars, such as the Precipitation Radar (PR) on Tropical Rainfall Measuring Mission (TRMM)[1] satellite and the Surface Wave Investigation and Monitoring (SWIM) on China France Oceanography SATellite (CFOSAT)[2], that operate in low incident angles, more and more NRCS data at low incident angle will be obtained. In order to retrieve the sea surface wind speed using low incident angle NRCS, the empirical GMF of NRCS with wind speed is established. The empirical nadir reflection coefficient |R(0)(2)| are calculated and the empirical relationship between mean square slop s(u) and wind speed is established. The mean square slop s(u) can be retrieved by fitting the NRCS at certain incident angles with the theoretical Gaussian GMF model. Then the wind speeds are calculated using the empirical corresponding relation between mean square slop and wind speed. The retrieved wind speeds are compared with Tao and NDBC buoy. The results show that the standard deviation (STD) and bias of retrieved wind speeds are smaller than 1.7m/s and 0.1m/s respectively.
引用
收藏
页码:4619 / 4622
页数:4
相关论文
共 50 条
  • [21] Can we measure sea surface wind speed with a smartphone?
    Wang, Feng
    Li, Jie
    Yang, Dongkai
    Yang, Lei
    Sun, Bo
    GPS SOLUTIONS, 2023, 27 (04)
  • [22] Can we measure sea surface wind speed with a smartphone?
    Feng Wang
    Jie Li
    Dongkai Yang
    Lei Yang
    Bo Sun
    GPS Solutions, 2023, 27
  • [23] Correlations of global sea surface temperatures with the solar wind speed
    Zhou, Limin
    Tinsley, Brian
    Chu, Huimin
    Xiao, Ziniu
    JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2016, 149 : 232 - 239
  • [24] EFFECT OF FARADAY ROTATION ON L-BAND NRCS AND WIND SPEED DETECTION
    Isoguchi, Osamu
    Ishizuka, Kenta
    Tadono, Takeo
    Motohka, Takeshi
    Shimada, Masanobu
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 4189 - 4192
  • [25] Retrieval of Sea Surface Wind Speed Using Spaceborne Millimeter-Wave Radar Measurements
    Wen, Tao
    Yao, Zhi G.
    Zhao, Zeng L.
    Lin, Long F.
    Han, Zhi G.
    Guo, Lin D.
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 15 (12) : 1807 - 1811
  • [26] Uncertainty Analysis in SAR Sea Surface Wind Speed Retrieval through C-Band Geophysical Model Functions Inversion
    Rana, Fabio Michele
    Adamo, Maria
    REMOTE SENSING, 2022, 14 (07)
  • [27] EXPLORING SMAP WIND SPEED POTENTIAL SEA SURFACE SALINITY AND SEA SURFACE TEMPERATURE RESIDUAL DEPENDENCIES
    Said, Faozi
    Jelenak, Zorana
    Chang, Paul S.
    Tang, Wenqing
    Fore, Alexander G.
    Akins, Alexander
    Yueh, Simon H.
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 3973 - 3976
  • [28] Influence of deployment time and surface wind speed on the accuracy of measurements of greenhouse gas fluxes using a closed chamber method under low surface wind speed
    Liu, Yu
    Wang, Chaoyuan
    Ding, Luyu
    Wang, Zixin
    Teng, Guanghui
    Shi, Zhengxiang
    Li, Baoming
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2019, 69 (02) : 209 - 219
  • [29] Wind Speed Inversion Using Shore-Based UHF Radar
    Yang, Jing
    Tian, Yingwei
    Wang, Caijun
    Zhou, Hao
    Wen, Biyang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [30] Wind Speed Inversion Using Shore-Based UHF Radar
    Yang, Jing
    Tian, Yingwei
    Wang, Caijun
    Zhou, Hao
    Wen, Biyang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61