The Effect of Wind Speed on SST Retrieval

被引:0
|
作者
Ng, H. G. [1 ]
MatJafri, M. Z. [1 ]
Abdullah, K. [1 ]
Wong, C. J. [1 ]
机构
[1] Univ Sains Malaysia, Sch Phys, Usm 11800, Penang, Malaysia
关键词
SEA-SURFACE TEMPERATURES; ALGORITHMS;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Many studies have been performed to retrieve the sea surface temperature (SST). However, the researchers studied only the effect of brightness temperature difference, observation angle and water vapor content. The sea surface emissivity (SSE) is normally considered as unity or constant. However, in a real case, the sea surface emissivity changes with the wind speed. In this study(12), we would like to check whether the wind speed had only minimal effect on the sea surface temperature, as was assumed in the prior literature. A new algorithm which included the term of SSE in the function of wind speed was established. The new algorithm was compared with the day split multichannel (MCSST) algorithm. The coefficients of the new algorithm were retrieved by the new derived equation with includes the term of emissivity. The algorithm coefficients of MCSST were retrieved by regression analysis with large amount of SST in-situ data. The SST data simulated by the new algorithm were compared with the SST data simulated with MCSST algorithm. The scatter plot of new derived SST algorithm coefficients was generated. The regression analysis was performed to study the effect of wind speed. The result showed that only the high wind speed had significant effect on SST retrieval.
引用
收藏
页码:1428 / 1434
页数:7
相关论文
共 50 条
  • [31] Retrieval of Ocean Wind Speed Using Airborne Reflected GNSS Signals
    Gao, Hongxing
    Yang, Dongkai
    Wang, Feng
    Wang, Qiang
    Li, Xiaohui
    IEEE ACCESS, 2019, 7 : 71986 - 71998
  • [32] Models of Sea Surface Wind Speed Retrieval by Spaceborne Lidar Data
    Zhang, Xinyi
    Wu, Dong
    Yang, Zhenwei
    He, Yan
    Guangxue Xuebao/Acta Optica Sinica, 2022, 42 (18):
  • [33] EXPLORING FOR THE WIND SPEED RETRIEVAL FROM INTERFEROMETRIC IMAGING RADAR ALTIMETER
    Ren, Lin
    Yang, Jingsong
    Zhang, Yunhua
    Zhai, Wenshuai
    Zheng, Gang
    Wang, Juan
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 4637 - 4640
  • [34] NRCS Recalibration and Wind Speed Retrieval for SWOT KaRIn Radar Data
    Ren, Lin
    Dong, Xiao
    Cui, Limin
    Yang, Jingsong
    Zhang, Yi
    Chen, Peng
    Zheng, Gang
    Zhou, Lizhang
    REMOTE SENSING, 2024, 16 (16)
  • [35] Application of Neural Network to GNSS-R Wind Speed Retrieval
    Liu, Yunxiang
    Collett, Ian
    Morton, Y. Jade
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (12): : 9756 - 9766
  • [36] An analytical algorithm with a wave age factor for altimeter wind speed retrieval
    Cheng, Yongcun
    Xu, Qing
    Liu, Yuguang
    Lin, Hui
    Xiu, Peng
    Yin, Xiaobin
    Zong, Haibo
    Rong, Zengrui
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2008, 29 (19) : 5699 - 5716
  • [37] Adaptively CDF Matching Method in GNSS⁃R Wind Speed Retrieval
    Du H.
    Guo W.
    Guo C.
    Lu P.
    Ye S.
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2021, 46 (12): : 1924 - 1931
  • [38] Assessment of the SMOS inversion scheme for salinity and wind speed retrieval purposes
    Montuori, Antonio
    Portabella, Marcos
    Guimbard, Sebastien
    Gabarro, Carolina
    Migliaccio, Maurizio
    EUROPEAN JOURNAL OF REMOTE SENSING, 2013, 46 : 855 - 873
  • [39] Geophysical Model Function for Wind Speed Retrieval from SARAL/AltiKa
    Gairola, R. M.
    Bushair, M. T.
    Bhowmick, Suchandra Aich
    MARINE GEODESY, 2015, 38 : 409 - 421
  • [40] Models of Sea Surface Wind Speed Retrieval by Spaceborne Lidar Data
    Zhang Xinyi
    Wu Dong
    Yang Zhenwei
    He Yan
    ACTA OPTICA SINICA, 2022, 42 (18)