Assessment of Three-Dimensional Interpolation Method in Hydrologic Analysis in the East China Sea

doi:10.3390/jmse10070877

IOCAS-IR > 海洋环流与波动重点实验室

	Assessment of Three-Dimensional Interpolation Method in Hydrologic Analysis in the East China Sea
	Gao, Yuchun 1,2; Guo, Junting 1,2; Wang, Jianfeng 2,3; Lv, Xianqing 1,2
	2022-07-01
发表期刊	JOURNAL OF MARINE SCIENCE AND ENGINEERING
卷号	10 期号:7 页码:20
通讯作者	Wang, Jianfeng(jfwang2013@qdio.ac.cn) ; Lv, Xianqing(xqingly@ouc.edu.cn)
摘要	The water mass in the East China Sea (ECS) shelf has a complicated three-dimensional (3D) hydrologic structure. However, previous studies mostly concentrated on the sea surface based on the sparse in situ and incomplete satellite-derived observations. Therefore, the 3D interpolation technology was introduced for the reconstruction of hydrologic structure in the ECS shelf using in situ temperature and salinity observations in the summer and autumn of 2010 to 2011. Considering the high accuracy and good fitness of the radial basis function (RBF) methods, we applied the RBF methods to the in situ observations to completely reconstruct the 3D hydrologic fields. Other 3D interpolation methods and 2D methods were also tested for a comparison. The cubic and thin plate spline RBFs were recommended because their mean absolute error (MAE) in the 10-fold cross-validation experiments maintained the order of similar to 10(-2). The 3D RBF reconstructions showed a reasonable 3D hydrologic structure and extra details of the water masses in the ECS shelf. It also helps evaluate regional satellite-derived sea surface temperature (SST). Comparisons between the interpolated and satellite-derived SST indicates that the large bias of satellite-derived SST in the daytime corresponds to weak mixing during low-speed wind and shows seasonal variation.
关键词	3D RBF interpolation cross-validation temperature and salinity East China Sea sea surface temperature
DOI	10.3390/jmse10070877
收录类别	SCI
语种	英语
资助项目	Open Fund Project of Key Laboratory of Marine Environmental Information Technology, Ministry of Natural Resources of the People's Republic of China ; National Natural Science Foundation of China[42076011] ; National Natural Science Foundation of China[U1806214] ; National Natural Science Foundation of China[41706012] ; Natural Science Foundation of Shandong Province of China[ZR2020MD056]
WOS研究方向	Engineering ; Oceanography
WOS类目	Engineering, Marine ; Engineering, Ocean ; Oceanography
WOS记录号	WOS:000832128000001
出版者	MDPI
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/179830
专题	海洋环流与波动重点实验室
通讯作者	Wang, Jianfeng; Lv, Xianqing
作者单位	1.Ocean Univ China, Frontier Sci Ctr Deep Ocean Multispheres & Earth, Phys Oceanog Lab, Qingdao 266100, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266237, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China
通讯作者单位	中国科学院海洋研究所
推荐引用方式 GB/T 7714	Gao, Yuchun,Guo, Junting,Wang, Jianfeng,et al. Assessment of Three-Dimensional Interpolation Method in Hydrologic Analysis in the East China Sea[J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING,2022,10(7):20.
APA	Gao, Yuchun,Guo, Junting,Wang, Jianfeng,&Lv, Xianqing.(2022).Assessment of Three-Dimensional Interpolation Method in Hydrologic Analysis in the East China Sea.JOURNAL OF MARINE SCIENCE AND ENGINEERING,10(7),20.
MLA	Gao, Yuchun,et al."Assessment of Three-Dimensional Interpolation Method in Hydrologic Analysis in the East China Sea".JOURNAL OF MARINE SCIENCE AND ENGINEERING 10.7(2022):20.