Preliminary Performance Assessment of the Wave Parameter Retrieval Algorithm from the Average Reflected Pulse

doi:10.3390/rs16020418

YIC-IR

	Preliminary Performance Assessment of the Wave Parameter Retrieval Algorithm from the Average Reflected Pulse
	Titchenko, Yuriy 1; Jie, Guo2 ; Karaev, Vladimir 1; Ponur, Kirill 1; Ryabkova, Maria 1; Baranov, Vladimir 3; Ocherednik, Vladimir 3; He, Yijun 4
发表期刊	REMOTE SENSING
	2024
卷号	16 期号:2 页码:14
关键词	significant wave height mean square slope slope variance reflected pulse model numerical simulation long-term measurements acoustic measurements in situ measurements
DOI	10.3390/rs16020418
通讯作者	Jie, Guo(jguo@yic.ac.cn)
英文摘要	To obtain new information about surface waves, it is proposed to use an underwater acoustic wave gauge, and an assessment of its effectiveness can be performed using a numerical simulation and field experiment. A new device, an underwater acoustic wave gauge named "Kalmar", was developed by the Institute of Applied Physics of the Russian Academy of Sciences for long-term, all-weather monitoring of wind waves. The instrument uses ultrasound to probe the water surface from underwater and can be used to verify remote sensing data. In this work, the capabilities of the device are tested and compared with ADCP data. Two independent methods for processing underwater acoustic wave gauge data are discussed and compared. One of them is completely new for acoustic measurements and is based on the analysis of the shape of the reflected acoustic pulse averaged over space and time. The other allows processing individual reflected pulses and calculating the time implementation of the distance to the water surface. It is shown that two independent methods of significant wave height retrieval from the acoustic wave gauge measurements are highly correlated. The "Kalmar" acoustic wave gauge and the RDI WH-600 acoustic Doppler current profiler operated simultaneously at the test site in Gelendzhik from 1 February to 10 February 2020. The significant wave heights measured by the two instruments are in good agreement.
资助机构	CAS International Talent Program for 2023 International Visiting Scholar
收录类别	SCI
语种	英语
关键词[WOS]	SURFACE-ROUGHNESS ; SEA-SURFACE ; RADAR ; BACKSCATTER ; SCATTERING ; SPECTRA ; BANDS ; MODEL
研究领域[WOS]	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001153038100001
引用统计
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/34848
专题	中国科学院烟台海岸带研究所
通讯作者	Jie, Guo
作者单位	1.Russian Acad Sci, Inst Appl Phys, Nizhnii Novgorod 603950, Russia 2.Chinese Acad Sci, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 3.Russian Acad Sci, Shirshov Inst Oceanol, Moscow 117997, Russia 4.Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Peoples R China
推荐引用方式 GB/T 7714	Titchenko, Yuriy,Jie, Guo,Karaev, Vladimir,et al. Preliminary Performance Assessment of the Wave Parameter Retrieval Algorithm from the Average Reflected Pulse[J]. REMOTE SENSING,2024,16(2):14.
APA	Titchenko, Yuriy.,Jie, Guo.,Karaev, Vladimir.,Ponur, Kirill.,Ryabkova, Maria.,...&He, Yijun.(2024).Preliminary Performance Assessment of the Wave Parameter Retrieval Algorithm from the Average Reflected Pulse.REMOTE SENSING,16(2),14.
MLA	Titchenko, Yuriy,et al."Preliminary Performance Assessment of the Wave Parameter Retrieval Algorithm from the Average Reflected Pulse".REMOTE SENSING 16.2(2024):14.