A new decomposition model of sea level variability for the sea level anomaly time series prediction-Reference-Cited by-同舟云学术

A new decomposition model of sea level variability for the sea level anomaly time series prediction

Published:2023-05-27 Issue:5 Volume:41 Page:1629-1642
ISSN:2096-5508
Container-title:Journal of Oceanology and Limnology
language:en
Short-container-title:J. Ocean. Limnol.

Author:

Sun Qinting,Wan Jianhua,Liu Shanwei,Jiang Jinghui,Muhammad Yasir

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Oceanography

Link

https://link.springer.com/content/pdf/10.1007/s00343-022-1418-5.pdf

Reference49 articles.

1. Ataee P, Yazdani A, Setarehdan S K et al. 2007. Genetic algorithm for selection of best feature and window length for a discriminate pre-seizure and normal state classification. In: 5th International Symposium on Image and Signal Processing and Analysis. IEEE, Istanbul, Turkey. p.107–112.

2. Bignalet-cazalet F, Picot N, Desai S et al. 2021. Jason-3 products handbook. https://www.aviso.altimetry.fr/fileadmin/documents/data/tools/hdbk_j3.pdf. Accessed on 2023-02-16.

3. Blanc F, Borra M, Boudou P et al. 1996. AVISO user handbook: merged Topex/Poseidon products. https://www.aviso.altimetry.fr/fileadmin/documents/data/tools/hdbk_tp_gdrm.pdf. Accessed on 2019-03-07.

4. Box G E P, Jenkins G M. 1976. Time Series Analysis: Forecasting and Control. Holden-Day, San Francisco. 592p.

5. Bronner E, Picot N, Desjomqueres J D et al. 2016. Jason-1 products handbook. https://www.aviso.altimetry.fr/fileadmin/documents/data/tools/hdbk_j1_gdr.pdf. Accessed on 2019-03-07.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CNN-LSTM architectures for non-stationary time series: decomposition approach;2024 International Conference on Global Aeronautical Engineering and Satellite Technology (GAST);2024-04-24