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Suitable region of dynamic optimal interpolation for efficiently altimetry sea surface height mappingOA北大核心

Suitable region of dynamic optimal interpolation for efficiently altimetry sea surface height mapping

英文摘要

The dynamic optimal interpolation(DOI)method is a technique based on quasi-geostrophic dynamics for merging multi-satellite altimeter along-track observations to generate gridded absolute dynamic topography(ADT).Compared with the linear optimal interpolation(LOI)method,the DOI method can improve the accuracy of gridded ADT locally but with low computational efficiency.Consequently,considering both computational efficiency and accuracy,the DOI method is more suitable to be used only for regional applications.In this study,we propose to evaluate the suitable region for applying the DOI method based on the correlation between the absolute value of the Jacobian operator of the geostrophic stream function and the improvement achieved by the DOI method.After verifying the LOI and DOI methods,the suitable region was investigated in three typical areas:the Gulf Stream(25°N-50°N,55°W-80°W),the Japanese Kuroshio(25°N-45°N,135°E-155°E),and the South China Sea(5 N-25°N,100°E-125°E).We propose to use the DOI method only in regions outside the equatorial region and where the absolute value of the Jacobian operator of the geostrophic stream function is higher than 1 × 10-11.

Jiasheng Shi;Taoyong Jin

School of Geodesy and Geomatics,Hubei Luojia Laboratory,Wuhan University,Wuhan 430079,ChinaSchool of Geodesy and Geomatics,Hubei Luojia Laboratory,Wuhan University,Wuhan 430079,China||MOE Key Laboratory of Geospace Environment and Geodesy,Wuhan University,Wuhan 430079,China

Dynamic optimal interpolationLinear optimal interpolationSatellite altimetrySea surface heightSuitable region

《大地测量与地球动力学(英文版)》 2024 (002)

142-149 / 8

This study is supported by National Natural Science Foundation of China under Grants 42192531 and 42192534,the Special Fund of Hubei Luojia Laboratory(China)under Grant 220100001,and the Natural Science Foundation of Hubei Province for Distinguished Young Scholars(China)under Grant 2022CFA090.

10.1016/j.geog.2023.05.003

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