Antarctic sea ice prediction with A convolutional long short-term memory network

Author:

Dong XiaoranORCID,Yang Qinghua,Nie YafeiORCID,Zampieri Lorenzo,Wang Jiuke,Liu Jiping,Chen Dake

Publisher

Elsevier BV

Reference50 articles.

1. Glacial erosion: status and outlook;Alley;Ann. Glaciol.,2019

2. Seasonal Arctic sea ice forecasting with probabilistic deep learning;Andersson;Nat. Commun.,2021

3. Probabilistic spatiotemporal seasonal sea ice presence forecasting using sequence-to-sequence learning and ERA5 data in the Hudson Bay region;Asadi;The Cryosphere,2022

4. Ballas, N., Yao, L., Pal, C., & Courville, A. (2016, March 1). Delving deeper into convolutional networks for learning video representations. arXiv. Retrieved from http://arxiv.org/abs/1511.06432.

5. Sources of low-frequency variability in observed Antarctic sea ice;Bonan;EGUsphere [preprint],2023

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