Seasonal Arctic Sea Ice Prediction Using a Newly Developed Fully Coupled Regional Model With the Assimilation of Satellite Sea Ice Observations

Author:

Yang Chao‐Yuan123ORCID,Liu Jiping23,Xu Shiming4ORCID

Affiliation:

1. South China Sea Institution and School of Atmospheric SciencesSun Yat‐sen University Zhuhai China

2. Department of Atmospheric and Environmental SciencesState University of New York at Albany Albany NY USA

3. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Zhuhai China

4. Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System ScienceTsinghua University Beijing China

Funder

National Natural Science Foundation of China

Climate Program Office

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Reference100 articles.

1. Adaptive Sampling with the Ensemble Transform Kalman Filter. Part I: Theoretical Aspects

2. An energy-conserving thermodynamic model of sea ice

3. Influence of initial conditions and climate forcing on predicting Arctic sea ice

4. Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness

5. Briegleb B. P.&Light B.(2007).A Delta‐Eddington multiple scattering parameterization for solar radiation in the sea ice component of the Community Climate System Model. NCAR Tech. Note NCAR/TN‐472+STR National Center for Atmospheric Research.

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