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Simulations of the East Asian Subtropical Westerly Jet by LASG/IAP AGCMs


doi: 10.1007/s00376-008-0447-0

  • Performances of two LASG/IAP (State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics/Institute of Atmospheric Physics) Atmospheric General Circulation Models (AGCMs), namely GAMIL and SAMIL, in simulating the major characteristics of the East Asian subtropical westerly jet (EASWJ) in the upper troposphere are examined in this paper. The mean vertical and horizontal structures and the correspondence of the EASWJ location to the meridional temperature gradient in the upper troposphere are well simulated by two models. However, both models underestimate the EASWJ intensity in winter and summer, and are unable to simulate the bimodal distribution of the major EASWJ centers in mid-summer, relative to the observation, especially for the SAMIL model. The biases in the simulated EASWJ intensity are found to be associated with the biases of the meridional temperature gradients in the troposphere, and furthermore with the surface sensible heat flux and condensation latent heating. The models capture the major characteristics of the seasonal evolution of the diabatic heating rate averaged between 30--45N, and its association with the westerly jet. However, the simulated maximum diabatic heating rate in summer is located westward in comparison with the observed position, with a relatively strong diabatic heating intensity, especially in GAMIL. The biases in simulating the diabatic heating fields lead to the biases in simulating the temperature distribution in the upper troposphere, which may further affect the EASWJ simulations. Therefore, it is necessary to improve the simulation of the meridional temperature gradient as well as the diabatic heating field in the troposphere for the improvement of the EASWJ simulation by GAMIL and SAMIL models.
  • [1] KUANG Xueyuan, ZHANG Yaocun, 2005: Seasonal Variation of the East Asian Subtropical Westerly Jet and Its Association with the Heating Field over East Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 831-840.  doi: 10.1007/BF02918683
    [2] WU Zhiwei, LI Jianping, 2008: Prediction of the Asian-Australian Monsoon Interannual Variations with the Grid-Point Atmospheric Model of IAP LASG (GAMIL), ADVANCES IN ATMOSPHERIC SCIENCES, 25, 387-394.  doi: 0.1007/s00376-008-0387-8
    [3] ZHOU Baiquan, NIU Ruoyun, ZHAI Panmao, 2015: An Assessment of the Predictability of the East Asian Subtropical Westerly Jet Based on TIGGE Data, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 401-412.  doi: 10.1007/s00376-014-4026-2
    [4] YANG Junli, WANG Bin, GUO Yufu, WAN Hui, JI Zhongzhen, 2007: Comparison Between GAMIL, and CAM2 on Interannual Variability Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 82-88.  doi: 10.1007/s00376-007-0082-1
    [5] Yu ZHAO, Anmin DUAN, Guoxiong WU, 2018: Interannual Variability of Late-spring Circulation and Diabatic Heating over the Tibetan Plateau Associated with Indian Ocean Forcing, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 927-941.  doi: 10.1007/s00376-018-7217-4
    [6] ZHANG Xu, Hai LIN, JIANG Jing, 2012: Global Response to Tropical Diabatic Heating Variability in Boreal Winter, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 369-380.  doi: 10.1007/s00376-011-1049-9
    [7] ZUO Jinqing, LI Weijing, SUN Chenghu, XU Li, and REN Hong-Li, 2013: Impact of the North Atlantic sea surface temperature tripole on the East Asian summer monsoon, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1173-1186.  doi: 10.1007/s00376-012-2125-5
    [8] LI Lijuan, WANG Bin, Yuqing WANG, Hui WAN, 2007: Improvements in Climate Simulation with Modifications to the Tiedtke Convective Parameterization in the Grid-Point Atmospheric Model of IAP LASG (GAMIL), ADVANCES IN ATMOSPHERIC SCIENCES, 24, 323-335.  doi: 10.1007/s00376-007-0323-3
    [9] Lijuan WANG, Aiguo DAI, Shuaihong GUO, Jing GE, 2017: Establishment of the South Asian High over the Indo-China Peninsula During Late Spring to Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 169-180.  doi: 10.1007/s00376-016-6061-7
    [10] LI Lijuan, Yuqing WANG, WANG Bin, ZHOU Tianjun, 2008: Sensitivity of the Grid-point Atmospheric Model of IAP LASG (GAMIL1.1.0) Climate Simulations to Cloud Droplet Effective Radius and Liquid Water Path, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 529-540.  doi: 10.1007/s00376-008-0529-z
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Manuscript received: 10 May 2008
Manuscript revised: 10 May 2008
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Simulations of the East Asian Subtropical Westerly Jet by LASG/IAP AGCMs

  • 1. Department of Atmospheric Sciences, Nanjing University, Nanjing 210093;Department of Atmospheric Sciences, Nanjing University, Nanjing 210093;National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029

Abstract: Performances of two LASG/IAP (State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics/Institute of Atmospheric Physics) Atmospheric General Circulation Models (AGCMs), namely GAMIL and SAMIL, in simulating the major characteristics of the East Asian subtropical westerly jet (EASWJ) in the upper troposphere are examined in this paper. The mean vertical and horizontal structures and the correspondence of the EASWJ location to the meridional temperature gradient in the upper troposphere are well simulated by two models. However, both models underestimate the EASWJ intensity in winter and summer, and are unable to simulate the bimodal distribution of the major EASWJ centers in mid-summer, relative to the observation, especially for the SAMIL model. The biases in the simulated EASWJ intensity are found to be associated with the biases of the meridional temperature gradients in the troposphere, and furthermore with the surface sensible heat flux and condensation latent heating. The models capture the major characteristics of the seasonal evolution of the diabatic heating rate averaged between 30--45N, and its association with the westerly jet. However, the simulated maximum diabatic heating rate in summer is located westward in comparison with the observed position, with a relatively strong diabatic heating intensity, especially in GAMIL. The biases in simulating the diabatic heating fields lead to the biases in simulating the temperature distribution in the upper troposphere, which may further affect the EASWJ simulations. Therefore, it is necessary to improve the simulation of the meridional temperature gradient as well as the diabatic heating field in the troposphere for the improvement of the EASWJ simulation by GAMIL and SAMIL models.

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