基于克里金法的极地海冰密集度空间插值方法

肖娟娟; 张金奋; 吴达; 张笛; 殷华兵

doi:10.16411/j.cnki.issn1006-7736.2023.01.007

大连海事大学学报 >

2023 , Vol. 49 >Issue 1: 66 - 74

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2023.01.007

船舶与海洋工程

基于克里金法的极地海冰密集度空间插值方法

肖娟娟 ,
张金奋 ,
吴达 ,
张笛 ,
殷华兵

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(1. 武汉理工大学 a.国家水运安全工程技术研究中心；b. 智能交通系统研究中心，武汉 430063；2. 中国远洋海运集团有限公司院士工作站，上海 200137；3. 中远海运特种运输股份有限公司，广州 510000)

肖娟娟（1998 — ），女，硕士生;张金奋（1985 — ），男，博士，副研究员，博士生导师，E-mail：jinfen.zhang@whut.edu.cn

收稿日期: 2022-11-22

修回日期: 2022-12-28

网络出版日期: 2022-12-28

基金资助

国家重点研发计划资助项目（2021YFC2801005）；湖北省自然科学基金资助项目（2021EHB007）；中央高校基本科研业务费专项资金资助项目（223144004；223144002）

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Spatial interpolation methodology of polar sea ice concentration based on Kriging algorithm

XIAO Juan-juan ,
ZHANG Jin-fen ,
WU Da ,
ZHANG Di ,
YIN Hua-bing

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Aiming at the low-resolution problem of sea ice concentration (SIC) re-analysis products, the ordinary Kriging algorithm and the improved co-Kriging algorithm were used to obtain higher resolution data. The Gaussian model and spherical model were selected respectively to perform spatial fine interpolation of SIC, and the accuracy of the interpolation results in Arctic navigable waters was tested and analyzed. The results show that the variogram, covariable and target interpolation precision have great influence on the interpolation performance of ordinary Kriging algorithm and co-Kriging algorithm, and the spherical model still has high interpolation accuracy under extreme data conditions. Kriging algorithm can be used for interpolation prediction of polar SIC with different models according to different actual requirements, so as to provide higher resolution SIC data for polar ships and serve the safe navigation of polar ships.

Received date: 2022-11-22

Revised date: 2022-12-28

Online published: 2022-12-28

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摘要

针对海冰密集度再分析产品低分辨率问题，使用普通克里金和改进协同克里金法获取更高分辨率数据。分别选取高斯模型和球形模型对海冰密集度进行空间精细化插值，并对北极可通航水域的插值结果进行精度检验分析。结果表明:变异函数、协变量和目标插值精度对普通克里金和协同克里金插值性能均有影响，并且球形模型在极端数据条件下仍然具有较高的插值精度。克里金法可针对不同实际需求使用不同模型用于极地海冰密集度插值预测，可为极地船舶提供更高分辨率的海冰密集度数据，服务极地船舶安全航行。

关键词： 极地海域; 海冰密集度（SIC）; 空间插值; 克里金法; 相关性分析

本文引用格式

肖娟娟 , 张金奋 , 吴达 , 张笛 , 殷华兵 . 基于克里金法的极地海冰密集度空间插值方法[J]. 大连海事大学学报, 2023 , 49(1) : 66 -74 . DOI: 10.16411/j.cnki.issn1006-7736.2023.01.007

Abstract

Aiming at the low-resolution problem of sea ice concentration (SIC) re-analysis products, the ordinary Kriging algorithm and the improved co-Kriging algorithm were used to obtain higher resolution data. The Gaussian model and spherical model were selected respectively to perform spatial fine interpolation of SIC, and the accuracy of the interpolation results in Arctic navigable waters was tested and analyzed. The results show that the variogram, covariable and target interpolation precision have great influence on the interpolation performance of ordinary Kriging algorithm and co-Kriging algorithm, and the spherical model still has high interpolation accuracy under extreme data conditions. Kriging algorithm can be used for interpolation prediction of polar SIC with different models according to different actual requirements, so as to provide higher resolution SIC data for polar ships and serve the safe navigation of polar ships.

Key words： polar seas; sea ice concentration(SIC); spatial interpolation; Kriging algorithm; correlation analysis

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