@inproceedings{37e19fb9f6e24960ae98ed463a9d7ed9,
title = "An improved spatial-temporal interpolation and its application in the oceanic observations",
abstract = "An improved spatial-temporal interpolation method, which can eliminate suspicious interpolated values effectively and consider both direction anisotropy and angle-based weight, is proposed to overcome the insufficiency of the traditional spatial-temporal interpolation. By using the traditional and improved spatial-temporal interpolation respectively, different weekly products of ocean temperature fields from surface to 2000m are reconstructed in the Pacific Ocean for interpolated test based on the Argo observations, and then the reconstructed products are validated in comparison with other gridded product and in-situ observations. The results show that the error of reconstructed data by the improved method is smaller than that of the traditional method apparently, and the improved interpolation can eliminate the suspicious estimated data effectively and improve the interpolated results greatly. The improved interpolation method is very effective to interpolate scattered data onto regular grids for data reconstruction.",
keywords = "Angle-based weight, Anisotropy, Argo observation, Data reconstruction, Spatial-temporal weighted interpolation",
author = "Huizan Wang and Ren Zhang and Hengqian Yan and Shuliang Wang and Lei Liu",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 5th International Conference on Geo-Spatial Knowledge and Intelligence, GSKI 2017 ; Conference date: 08-12-2017 Through 10-12-2017",
year = "2018",
doi = "10.1007/978-981-13-0896-3_43",
language = "English",
isbn = "9789811308956",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "437--446",
editor = "Hanning Yuan and Jing Geng and Chuanlu Liu and Tisinee Surapunt and Fuling Bian",
booktitle = "Geo-Spatial Knowledge and Intelligence - 5th International Conference, GSKI 2017, Revised Selected Papers",
address = "Germany",
}