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

doi:10.16411/j.cnki.issn1006-7736.2023.01.007

Journal of Dalian Maritime University >

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

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

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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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

Cite this article

XIAO Juan-juan , ZHANG Jin-fen , WU Da , ZHANG Di , YIN Hua-bing . Spatial interpolation methodology of polar sea ice concentration based on Kriging algorithm[J]. Journal of Dalian Maritime University, 2023 , 49(1) : 66 -74 . DOI: 10.16411/j.cnki.issn1006-7736.2023.01.007

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