Improving Arctic sea ice seasonal outlook by ensemble prediction using an ice-ocean model-Reference-Cited by-同舟云学术

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Improving Arctic sea ice seasonal outlook by ensemble prediction using an ice-ocean model

Published:2019-10 Issue: Volume:227 Page:14-23
ISSN:0169-8095
Container-title:Atmospheric Research
language:en
Short-container-title:Atmospheric Research

Author:

Yang Qinghua,Mu Longjiang^ORCID,Wu Xingren,Liu Jiping,Zheng Fei,Zhang Jinlun,Li Chuanjin

Funder

National Key R&D Program of China

State Key Laboratory of Cryospheric Science

Federal Ministry of Education and Research of Germany

National Natural Science Foundation of China

US NSF

Publisher

Elsevier BV

Subject

Atmospheric Science

Reference39 articles.

1. Persistence and inherent predictability of Arctic sea ice in a GCM ensemble and observations;Blanchard-Wrigglesworth;J. Clim.,2011

2. Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness;Blockley;Cryosphere,2018

3. Arctic sea ice variability and trends, 1979-2010;Cavalieri;The Cryosphere,2012

4. Impacts of assimilating satellite sea ice concentration and thickness on Arctic sea ice prediction in the NCEP climate forecast system;Chen;J. Clim.,2017

5. The role of sea ice thickness distribution in the Arctic sea ice potential predictability: a diagnostic approach with a coupled GCM;Chevallier;J. Clim.,2012

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1. SICFormer: A 3D-Swin Transformer for Sea Ice Concentration Prediction;Journal of Marine Science and Engineering;2024-08-17

2. Reconstruction of Arctic Sea Ice Thickness and Its Impact on Sea Ice Forecasting in the Melting Season;Journal of Atmospheric and Oceanic Technology;2024-07

3. PDED-ConvLSTM: Pyramid Dilated Deeper Encoder–Decoder Convolutional LSTM for Arctic Sea Ice Concentration Prediction;Applied Sciences;2024-04-13

4. Influence of the preceding August-September-October tropical cyclones over the Western North Pacific on the following spring sea ice in the Beaufort Sea: the bridging role of El Niño;Climate Dynamics;2024-04-10

5. A deep learning-based bias correction model for Arctic sea ice concentration towards MITgcm;Ocean Modelling;2024-04

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