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Wang, Yunhe, Yuan, Xiaojun, Bi, Haibo, Ren, Yibin, Liang, Yu, Li, Cuihua, Li, Xiaofeng (2023) Understanding Arctic Sea Ice Thickness Predictability by a Markov Model. Journal of Climate, 36 (15) 4879-4897 doi:10.1175/jcli-d-22-0525.1

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Reference TypeJournal (article/letter/editorial)
TitleUnderstanding Arctic Sea Ice Thickness Predictability by a Markov Model
JournalJournal of Climate
AuthorsWang, YunheAuthor
Yuan, XiaojunAuthor
Bi, HaiboAuthor
Ren, YibinAuthor
Liang, YuAuthor
Li, CuihuaAuthor
Li, XiaofengAuthor
Year2023 (August 1)Volume36
Issue15
PublisherAmerican Meteorological Society
DOIdoi:10.1175/jcli-d-22-0525.1Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID16508839Long-form Identifiermindat:1:5:16508839:8
GUID0
Full ReferenceWang, Yunhe, Yuan, Xiaojun, Bi, Haibo, Ren, Yibin, Liang, Yu, Li, Cuihua, Li, Xiaofeng (2023) Understanding Arctic Sea Ice Thickness Predictability by a Markov Model. Journal of Climate, 36 (15) 4879-4897 doi:10.1175/jcli-d-22-0525.1
Plain TextWang, Yunhe, Yuan, Xiaojun, Bi, Haibo, Ren, Yibin, Liang, Yu, Li, Cuihua, Li, Xiaofeng (2023) Understanding Arctic Sea Ice Thickness Predictability by a Markov Model. Journal of Climate, 36 (15) 4879-4897 doi:10.1175/jcli-d-22-0525.1
In(2023, August) Journal of Climate Vol. 36 (15) American Meteorological Society

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Wang, Yunhe, Yuan, Xiaojun, Bi, Haibo, Bushuk, Mitchell, Liang, Yu, Li, Cuihua, Huang, Haijun (2022) Reassessing seasonal sea ice predictability of the Pacific-Arctic sector using a Markov model. The Cryosphere, 16 (3) 1141-1156 doi:10.5194/tc-16-1141-2022
Yuan, Xiaojun, Chen, Dake, Li, Cuihua, Wang, Lei, Wang, Wanqiu (2016) Arctic Sea Ice Seasonal Prediction by a Linear Markov Model. Journal of Climate, 29 (22). 8151-8173 doi:10.1175/jcli-d-15-0858.1
Wang, Yunhe, Yuan, Xiaojun, Ren, Yibin, Bushuk, Mitchell, Shu, Qi, Li, Cuihua, Li, Xiaofeng (2023) Subseasonal Prediction of Regional Antarctic Sea Ice by a Deep Learning Model. Geophysical Research Letters, 50 (17) doi:10.1029/2023gl104347
Wang, Lei, Yuan, Xiaojun, Ting, Mingfang, Li, Cuihua (2016) Predicting Summer Arctic Sea Ice Concentration Intraseasonal Variability Using a Vector Autoregressive Model. Journal of Climate, 29 (4). 1529-1543 doi:10.1175/jcli-d-15-0313.1
Ren, Yibin; Li, Xiaofeng; Wang, Yunhe (2025) SICNetseason V1.0: a transformer-based deep learning model for seasonal Arctic sea ice prediction by incorporating sea ice thickness data. Geoscientific Model Development, 18 (9). doi:10.5194/gmd-18-2665-2025
Bi, Haibo, Wang, Yunhe, Liang, Yu, Sun, Weifu, Liang, Xi, Yu, Qinglong, Zhang, Zehua, Xu, Xiuli (2021) Influences of Summertime Arctic Dipole Atmospheric Circulation on Sea Ice Concentration Variations in the Pacific Sector of the Arctic during Different Pacific Decadal Oscillation Phases. Journal of Climate, 34 (8) 3003-3019 doi:10.1175/jcli-d-19-0843.1
Liang, Yu, Bi, Haibo, Lei, Ruibo, Vihma, Timo, Huang, Haijun (2023) Atmospheric Latent Energy Transport Pathways into the Arctic and Their Connections to Sea Ice Loss during Winter over the Observational Period. Journal of Climate, 36 (19) 6695-6712 doi:10.1175/jcli-d-22-0789.1
Liang, Yu-Chiao, Kwon, Young-Oh, Frankignoul, Claude (2021) Autumn Arctic Pacific Sea Ice Dipole as a Source of Predictability for Subsequent Spring Barents Sea Ice Condition. Journal of Climate, 34 (2) 787-804 doi:10.1175/jcli-d-20-0172.1
Wang, Lei, Yuan, Xiaojun, Li, Cuihua (2019) Subseasonal forecast of Arctic sea ice concentration via statistical approaches. Climate Dynamics, 52 (7). 4953-4971 doi:10.1007/s00382-018-4426-6
Liang, Hongjie, Zhou, Wen (2023) Arctic Sea Ice Melt Onset in the Laptev Sea and East Siberian Sea in Association with the Arctic Oscillation and Barents Oscillation. Journal of Climate, 36 (18) 6363-6373 doi:10.1175/jcli-d-22-0791.1
Chevallier, Matthieu, Salas-Mélia, David (2012) The Role of Sea Ice Thickness Distribution in the Arctic Sea Ice Potential Predictability: A Diagnostic Approach with a Coupled GCM. Journal of Climate, 25 (8). 3025-3038 doi:10.1175/jcli-d-11-00209.1
 
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