Reducing Numerical Diffusion in Dynamical Coupling Between Atmosphere and Ocean in Community Earth System Model Version 1.2.1

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Abstract

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.

Original languageEnglish
Article numbere2020MS002052
JournalJournal of Advances in Modeling Earth Systems
Volume12
Issue number9
DOIs
StatePublished - Sep 1 2020
Externally publishedYes

Funding

The authors would like to express sincere thanks to the editor and referees for the invaluable efforts in helping improve the manuscript. This work is partially supported by National Key R & D Program of China (Grant Number 2017YFA0603902), the National Science Foundation of China (Grant Number 41575076), and Tsinghua University Initiative Scientific Research Program (Grant Number 2019Z07L01001). This work is also partially supported by Center for High Performance Computing and System Simulation, Pilot National Laboratory for Marine Science and Technology (Qingdao).

Keywords

  • air-sea interaction
  • coupled model
  • dynamics-physics coupling
  • interpolation

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