Reconstructing the Subsurface Temperature Field by Using Sea Surface Data Through Self-Organizing Map Method

Cheng Chen; Kunde Yang; Yuanliang Ma; Yang Wang

doi:10.1109/LGRS.2018.2866237

Reconstructing the Subsurface Temperature Field by Using Sea Surface Data Through Self-Organizing Map Method

Cheng Chen
, Kunde Yang
, Yuanliang Ma
, Yang Wang

海洋研究院

Northwestern Polytechnical University Xian
Harbin Institute of Technology at Weihai

科研成果: 期刊稿件 › 文章 › 同行评审

32 引用（Scopus）

摘要

Self-organizing map (SOM) method combined with the empirical orthogonal function was used to reconstruct the subsurface temperature field by using sea surface data in the Northwestern Pacific Ocean. In contrast to the traditional method, SOM method can extract nonlinear relations from the data and is more suitable for nonlinear dynamics in the ocean. Error statistics show that SOM method provides reconstructions of the subsurface temperature field with the majority of relative errors below 20% at 0-1000-m depth.

源语言	英语
文章编号	8458147
页（从-至）	1812-1816
页数	5
期刊	IEEE Geoscience and Remote Sensing Letters
卷	15
期	12
DOI	https://doi.org/10.1109/LGRS.2018.2866237
出版状态	已出版 - 12月 2018

访问文件

10.1109/LGRS.2018.2866237

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{f89834b7bb7c4f3bba0b4a9061b0b88f,

title = "Reconstructing the Subsurface Temperature Field by Using Sea Surface Data Through Self-Organizing Map Method",

abstract = "Self-organizing map (SOM) method combined with the empirical orthogonal function was used to reconstruct the subsurface temperature field by using sea surface data in the Northwestern Pacific Ocean. In contrast to the traditional method, SOM method can extract nonlinear relations from the data and is more suitable for nonlinear dynamics in the ocean. Error statistics show that SOM method provides reconstructions of the subsurface temperature field with the majority of relative errors below 20\% at 0-1000-m depth.",

keywords = "Empirical orthogonal function (EOF), sea surface data, self-organizing map (SOM), subsurface temperature reconstruction",

author = "Cheng Chen and Kunde Yang and Yuanliang Ma and Yang Wang",

note = "Publisher Copyright: {\textcopyright} 2004-2012 IEEE.",

year = "2018",

month = dec,

doi = "10.1109/LGRS.2018.2866237",

language = "英语",

volume = "15",

pages = "1812--1816",

journal = "IEEE Geoscience and Remote Sensing Letters",

issn = "1545-598X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "12",

}

TY - JOUR

T1 - Reconstructing the Subsurface Temperature Field by Using Sea Surface Data Through Self-Organizing Map Method

AU - Chen, Cheng

AU - Yang, Kunde

AU - Ma, Yuanliang

AU - Wang, Yang

PY - 2018/12

Y1 - 2018/12

N2 - Self-organizing map (SOM) method combined with the empirical orthogonal function was used to reconstruct the subsurface temperature field by using sea surface data in the Northwestern Pacific Ocean. In contrast to the traditional method, SOM method can extract nonlinear relations from the data and is more suitable for nonlinear dynamics in the ocean. Error statistics show that SOM method provides reconstructions of the subsurface temperature field with the majority of relative errors below 20% at 0-1000-m depth.

AB - Self-organizing map (SOM) method combined with the empirical orthogonal function was used to reconstruct the subsurface temperature field by using sea surface data in the Northwestern Pacific Ocean. In contrast to the traditional method, SOM method can extract nonlinear relations from the data and is more suitable for nonlinear dynamics in the ocean. Error statistics show that SOM method provides reconstructions of the subsurface temperature field with the majority of relative errors below 20% at 0-1000-m depth.

KW - Empirical orthogonal function (EOF)

KW - sea surface data

KW - self-organizing map (SOM)

KW - subsurface temperature reconstruction

UR - https://www.scopus.com/pages/publications/85053132223

U2 - 10.1109/LGRS.2018.2866237

DO - 10.1109/LGRS.2018.2866237

M3 - 文章

AN - SCOPUS:85053132223

SN - 1545-598X

VL - 15

SP - 1812

EP - 1816

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

IS - 12

M1 - 8458147

ER -

Reconstructing the Subsurface Temperature Field by Using Sea Surface Data Through Self-Organizing Map Method

摘要

访问文件

其它文件与链接

指纹

引用此