Statistical Comparison of Ocean Wave Directional Spectra Derived From SWIM/CFOSAT Satellite Observations and From Buoy Observations

被引:21
作者
Xu, Ying [1 ,2 ,3 ]
Hauser, Daniele [4 ]
Liu, Jianqiang [1 ,2 ]
Si, Jianyang [5 ]
Yan, Chen [5 ]
Chen, Shufen [5 ]
Meng, Junmin [6 ]
Fan, Chenqing [6 ]
Liu, Meijie [7 ]
Chen, Ping [5 ]
机构
[1] Minist Nat Resources, Natl Satellite Ocean Applicat Serv, Beijing 10081, Peoples R China
[2] Minist Nat Resources, Key Lab Space Ocean Remote Sensing & Applicat, Beijing 100081, Peoples R China
[3] Southern Marine Sci & Engn Guangdong Lab, Guangzhou 511458, Peoples R China
[4] Sorbonne Univ, Lab Atmosphere Milieux Observat Spatiales LATMOS, Univ Paris Saclay, UVSQ,CNRS, F-75005 Guyancourt, France
[5] Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan 430074, Peoples R China
[6] Minist Nat Resources China, Inst Oceanog 1, Qingdao 266003, Peoples R China
[7] Qingdao Univ, Coll Phys, Qingdao 266003, Peoples R China
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2022年 / 60卷
基金
中国国家自然科学基金;
关键词
Sea surface; Surface waves; Sea measurements; Spaceborne radar; Extraterrestrial measurements; Radar measurements; Wavelength measurement; Directional function; directional spread; omnidirectional wave height spectra; scatterometer; spaceborne radar; SURFACE-WAVES;
D O I
10.1109/TGRS.2022.3199393
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
The comparison and verification of ocean wave spectrum by remote sensing and in situ measurements at the spectral level are quite rare because the use of the traditional comparison method leads to very limited spatiotemporal matching pairs. In this article, a new comparison method is proposed. With this method, under different sea conditions (wind wave mainly/swell mainly) and sea surface conditions (wind speed smaller than 20 m/s and significant wave height from 1 to 7 m), mean directional wave height spectra from surface waves investigation and monitoring (SWIM) are compared at the spectral level to the buoy counterparts, in different classes of the sea state. This includes the comparison of the omnidirectional wave height spectrum and the directional function at the peak wavenumber. The comparison results show that, under medium and high sea conditions, wave directional spectra provided by the SWIM beams at 8 degrees and 10 degrees incidence have a high consistency with those from buoy data. Under low sea conditions, the measurement bias of SWIM wave directional spectra mainly comes from three phenomena that are, by order of importance, an abnormal lifting of spectral energy caused by nonwave components at low wave numbers (parasitic peak), from the nonlinear surfboard effect in the radar imaging mechanism, and from a slight underestimation of speckle noise spectral density.
引用
收藏
页数:20
相关论文
共 30 条
  • [11] New Observations From the SWIM Radar On-Board CFOSAT: Instrument Validation and Ocean Wave Measurement Assessment
    Hauser, Daniele
    Tourain, Cedric
    Hermozo, Laura
    Alraddawi, D.
    Aouf, L.
    Chapron, B.
    Dalphinet, A.
    Delaye, L.
    Dalila, M.
    Dormy, E.
    Gouillon, F.
    Gressani, V
    Grouazel, A.
    Guitton, G.
    Husson, R.
    Mironov, A.
    Mouche, A.
    Ollivier, A.
    Oruba, L.
    Piras, E.
    Suquet, R. Rodriguez
    Schippers, P.
    Tison, C.
    Tran, Ngan
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (01): : 5 - 26
  • [12] SWIM: The First Spaceborne Wave Scatterometer
    Hauser, Daniele
    Tison, Celine
    Amiot, Thierry
    Delaye, Lauriane
    Corcoral, Nathalie
    Castillan, Patrick
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (05): : 3000 - 3014
  • [13] Reply to comment by Paul A. Hwang on "A study of the slope probability density function of the ocean waves from radar observations'' by D. Hauser et al.
    Hauser, Daniele
    Caudal, Gerard
    Guimbard, Sebastien
    Mouche, Alexis
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2009, 114
  • [14] Huffman G.J., 2018, NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG) Prepared for: Global Precipitation Measurement (GPM)
  • [15] Comment on "A study of the slope probability density function of the ocean waves from radar observations'' by D. Hauser et al.
    Hwang, Paul A.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2009, 114
  • [17] Validation of Wave Spectral Partitions From SWIM Instrument On-Board CFOSAT Against In Situ Data
    Jiang, Haoyu
    Mironov, Alexey
    Ren, Lin
    Babanin, Alexander, V
    Wang, Jiuke
    Mu, Lin
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [18] Directional and Frequency Spread of Surface Ocean Waves From SWIM Measurements
    Le Merle, Eva
    Hauser, Daniele
    Peureux, Charles
    Aouf, Lotfi
    Schippers, Patricia
    Dufour, Christophe
    Dalphinet, Alice
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2021, 126 (07)
  • [19] Directional wave spectra at the regional scale with the KuROS airborne radar: comparisons with models
    Le Merle, Eva
    Hauser, Daniele
    Tison, Celine
    [J]. OCEAN DYNAMICS, 2019, 69 (06) : 679 - 699
  • [20] Calibration Experiments of CFOSAT Wavelength in the Southern South China Sea by Artificial Neural Networks
    Li, Bo
    Li, Junmin
    Liu, Junliang
    Tang, Shilin
    Chen, Wuyang
    Shi, Ping
    Liu, Yupeng
    [J]. REMOTE SENSING, 2022, 14 (03)