HOME
ABOUT THE JOURNAL
Aims and Scope
Editorial Board
Editor's choices & News
AUTHOR GUIDE
Submission Instruction
Open Access Policy
CONTACT
Atmos. Oceanic Sci. Lett.
Current Issue
|
Next Issue
|
Archive
|
Adv Search
|
An effective deep-learning prediction of Arctic sea-ice concentration based on the U-Net model
Abstract
Figure/Table
References(0)
Related Citation (15)
Download:
PDF
(0 KB)
Export:
BibTeX
|
EndNote
(RIS)
Accepted:
21 July 2025
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Yifan Xie
Ke Fan
Hongqing Yang
Yi Fan
Shengping He
Cite this article:
Yifan Xie, Ke Fan, Hongqing Yang, Yi Fan, Shengping He, 2026: An effective deep-learning prediction of Arctic sea-ice concentration based on the U-Net model .
Atmos. Oceanic Sci. Lett.
,
19
(1), 100691-, doi: .
URL:
http://aosl.iapjournals.ac.cn/EN/
OR
http://aosl.iapjournals.ac.cn/EN/Y2026/V19/I1/100691
[1]
Xiaowei Tan, Zhiqiu Gao, Yubin Li.
Typhoon Kompasu (2021) simulation with planetary boundary layer and cloud physics parameterization improvements
[J]. Atmos. Oceanic Sci. Lett., 2026, 19(1): 100592-.