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  • 标题:Reducing Numerical Diffusion in Dynamical Coupling Between Atmosphere and Ocean in Community Earth System Model Version 1.2.1
  • 本地全文:下载
  • 作者:Jialiang Ma ; Shiming Xu ; Bin Wang
  • 期刊名称:Journal of Advances in Modeling Earth Systems
  • 电子版ISSN:1942-2466
  • 出版年度:2020
  • 卷号:12
  • 期号:9
  • 页码:1-16
  • DOI:10.1029/2020MS002052
  • 出版社:John Wiley & Sons, Ltd.
  • 摘要:Climate models contain atmospheric and oceanic components that are coupled together to simulate the thermodynamic and dynamic processes during air‐sea interactions. Community Earth System Model (CESM version 1.2.1) is a state‐of‐the‐art coupled model that is widely used and participates in Coupled Model Intercomparison Projects. Community Atmospheric Model (CAM), the atmospheric component of CESM, is based on the finite‐volume dynamic core, which utilizes staggered Arakawa‐D grids. However, the dynamics‐physics (D‐P) coupling in CAM causes the prognostic winds of the dynamic core be interpolated onto non‐staggered locations, which affects the wind structure for computing the air‐sea interaction and dynamical coupling. In this study we propose a new scheme that eliminates the extra interpolation during D‐P coupling for the atmosphere‐ocean interaction. We show that it improves the simulated climatology in key regions including eastern boundary upwelling regions and Southern Oceans. Compared with the default scheme, the new approach simulates strong surface wind near coast in eastern boundary upwelling regions. As a result, existing problems of the model, such as warm SST biases in these regions, are reduced. Meanwhile, for Southern Ocean, the prevailing westerlies are enhanced in new scheme, resulting in meridional sea ice transport. As a result, the overestimation of sea ice extent and negative bias in SST is reduced. This new scheme is generally applicable to coupled models with staggered dynamics‐physics, such as spectral‐element method based CAM.
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