An objective algorithm for reconstructing the three-dimensional ocean temperature field based on Argo profiles and SST data

doi:10.1007/s10236-017-1104-x

CORC > 自然资源部第一海洋研究所 > 自然资源部第一海洋研究所 > 业务部门 > 海洋物理与遥感研究室

	An objective algorithm for reconstructing the three-dimensional ocean temperature field based on Argo profiles and SST data
	Zhou, Chaojie 1,2; Ding, Xiaohua 1; Zhang, Jie 2; Yang, Jungang 2; Ma, Qiang 1
刊名	OCEAN DYNAMICS
	2017-12
卷号	67 期号:12 页码:1523-1533
关键词	Three-dimensional temperature reconstruction Argo temperature profile Sea surface temperature Fitting method Vertical temperature gradient
ISSN号	1616-7341
DOI	10.1007/s10236-017-1104-x
英文摘要	While global oceanic surface information with large-scale, real-time, high-resolution data is collected by satellite remote sensing instrumentation, three-dimensional (3D) observations are usually obtained from in situ measurements, but with minimal coverage and spatial resolution. To meet the needs of 3D ocean investigations, we have developed a new algorithm to reconstruct the 3D ocean temperature field based on the Array for Real-time Geostrophic Oceanography (Argo) profiles and sea surface temperature (SST) data. The Argo temperature profiles are first optimally fitted to generate a series of temperature functions of depth, with the vertical temperature structure represented continuously. By calculating the derivatives of the fitted functions, the calculation of the vertical temperature gradient of the Argo profiles at an arbitrary depth is accomplished. A gridded 3D temperature gradient field is then found by applying inverse distance weighting interpolation in the horizontal direction. Combined with the processed SST, the 3D temperature field reconstruction is realized below the surface using the gridded temperature gradient. Finally, to confirm the effectiveness of the algorithm, an experiment in the Pacific Ocean south of Japan is conducted, for which a 3D temperature field is generated. Compared with other similar gridded products, the reconstructed 3D temperature field derived by the proposed algorithm achieves satisfactory accuracy, with correlation coefficients of 0.99 obtained, including a higher spatial resolution (0.25 degrees x 0.25 degrees), resulting in the capture of smaller-scale characteristics. Finally, both the accuracy and the superiority of the algorithm are validated.
电子版国际标准刊号	16167228
资助项目	Disciplinary Construction Guide Foundation of Harbin Institute of Technology at Weihai[WH20140206]
WOS研究方向	Oceanography
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000415203000002
内容类型	期刊论文
源URL	[http://ir.fio.com.cn/handle/2SI8HI0U/3031]
专题	业务部门_海洋物理与遥感研究室
作者单位	1.Harbin Inst Technol Weihai, Dept Math, Weihai 264209, Peoples R China; 2.State Ocean Adm, Inst Oceanog 1, 6 Xianxialing Rd, Qingdao 266061, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Chaojie,Ding, Xiaohua,Zhang, Jie,et al. An objective algorithm for reconstructing the three-dimensional ocean temperature field based on Argo profiles and SST data[J]. OCEAN DYNAMICS,2017,67(12):1523-1533.
APA	Zhou, Chaojie,Ding, Xiaohua,Zhang, Jie,Yang, Jungang,&Ma, Qiang.(2017).An objective algorithm for reconstructing the three-dimensional ocean temperature field based on Argo profiles and SST data.OCEAN DYNAMICS,67(12),1523-1533.
MLA	Zhou, Chaojie,et al."An objective algorithm for reconstructing the three-dimensional ocean temperature field based on Argo profiles and SST data".OCEAN DYNAMICS 67.12(2017):1523-1533.