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Development and Evaluation of High Resolution Climate System Models pp 163–208Cite as

Development and Testing of a Multi-model Ensemble Coupling Framework

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Abstract

The ensemble method is effective at reducing model uncertainties. In this work, a novel ensemble technology has been developed and employed to the coupling process in the climate system model, forming a flexible multi-model ensemble coupling platform. This platform can perform the couple of the ensemble of multiple atmospheric models or multiple realizations of one atmospheric model with the ocean model, land model, and sea-ice model in a single experiment, which enables the quantification study on the role of atmospheric noise and model uncertainty in coupled model. Multiple initial condition ensemble simulations show that stochastic noise generated by atmospheric dynamics is reduced and can be used to estimate the impact of atmospheric perturbations on the ocean and to identify the impact of atmospheric noise in complex sea–air coupling process; better reproduction of the relationship between ENSO and mid–high-latitude SST in the North Pacific can be achieved compared to the original standard coupled model. To perform IE coupling simulation efficiently and effectively, we further propose a model-based process layout scheme for coupled climate simulation, as well as present a portal for our multi-model ensemble platform.

Keywords

  • Climate system model
  • Ensemble coupling platform
  • Atmospheric noise
  • Process layout

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Authors and Affiliations

  1. Tsinghua University, Beijing, China

    Wei Xue

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Haiping Wu, Zhenchun Huang, Tao Zhang, Huimin Li, Nan Ding & Huang Huang

  3. Ministry of Education Key Laboratory for Earth System Modeling and Center for Earth System Science, Tsinghua University, Beijing, China

    Tao Zhang, Nan Ding & Huang Huang

  4. Beijing Climate Center, Beijing, China

    Xiaoge Xin, Jie Zhang & Wusheng Zhang

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  1. Wei Xue
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  2. Xiaoge Xin
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  3. Jie Zhang
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  4. Wusheng Zhang
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  7. Tao Zhang
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  9. Nan Ding
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  10. Huang Huang
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Xue, W. et al. (2016). Development and Testing of a Multi-model Ensemble Coupling Framework. In: Development and Evaluation of High Resolution Climate System Models. Springer, Singapore. https://doi.org/10.1007/978-981-10-0033-1_4

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