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Implementation of orographic-drag anisotropy in all flow directions in the Earth System Model CAS-ESM 2.0
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  • Jinbo Xie,
  • Minghua Zhang,
  • Qingcun Zeng,
  • Zhenghui Xie,
  • Hailong Liu,
  • Zhaoyang Chai,
  • Juanxiong He,
  • He Zhang
Jinbo Xie
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Minghua Zhang
Stony Brook University
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Qingcun Zeng
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Zhenghui Xie
Institute of Atmospheric Physics, Chinese Academy of Sciences

Corresponding Author:[email protected]

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Hailong Liu
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Zhaoyang Chai
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Juanxiong He
Institute of Atmospheric Physics, Chinese Academy of Sciences
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He Zhang
Institute of Atmospheric Physics, Chinese Academy of Sciences
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Abstract

A reasonable representation of orographic anisotropy in earth system models is vital for improving weather and climate modeling. In this study, we implemented the orographic drag scheme, including 3-D orographic anisotropy (3D-AFD), into the Chinese Academy of Sciences Earth System Model version 2 (CAS-ESM 2.0). Three groups of simulations named sensitivity run, medium-range forecast, and seasonal forecast respectively were conducted using the updated CAS-ESM model together with the original 2-D isotropic scheme (2-D) and the 3-D orographic anisotropy for the eight-direction scheme (3D-8x) to validate its performance. Sensitivity runs indicated that the simulated drag using the original 2-D scheme did not change with the wind directions, while the simulated drag using the updated 3D-AFD showed a smoother transition than that using 3D-8x. The 3D-AFD and 3D-8x had also about 80% larger drag and smaller wind speed of 1m/s than that of the 2-D scheme. Enhanced drag in the medium range and seasonal forecast using the updated CAS-ESM both alleviated the bias of the overestimated wind speed and the cold bias over mountain regions in the 2-D scheme. This was more apparent in winter (0.4-0.5 m/s and ~1K) than that in summer (0.1 m/s and ~0.1K) for the northern hemisphere region, such as the Tibetan Plateau. The vertical wind profile was also improved in the seasonal forecast. The results suggested that a reasonable representation of the orographic anisotropy was important in climate modeling, and the updated model of CAS-ESM with 3D-AFD alleviated the bias of the mountain wind.