A Global-Regional-Unified Atmospheric Dynamical Core on the Yin-Yang Grid
被引:2
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作者:
Chen, Siyuan
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
Chen, Siyuan
[1
]
Zhao, Yifan
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
Zhao, Yifan
[1
]
Peng, Xindong
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机构:
CMA Earth Syst Modeling & Predict Ctr, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
Peng, Xindong
[2
]
Li, Xiaohan
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
Li, Xiaohan
[1
]
机构:
[1] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
[2] CMA Earth Syst Modeling & Predict Ctr, Beijing, Peoples R China
A global-regional-unified nonhydrostatic dynamical core was constructed on the Yin-Yang grid using a semi-implicit semi-Lagrangian solver. Arbitrary coordinate rotation was possible for both global and limited-area models with a multilevel nesting capability. Significant flexibility is available when configuring the model's horizontal mesh using coordinate rotation. The performance of the dynamical core was assessed using a series of numerical tests in Cartesian and spherical coordinates. The results illustrate the reasonable ability of the piecewise rational method to manage sharp gradi-ent advection and the capability of the dry dynamical core to simulate fine structures in target systems in the Cartesian and spherical configurations. An average convergence rate of 2.43 was confirmed for the dry dynamical core in the balanced flow test. The nested grid improved the fine structure simulation of the baroclinic wave development without affecting wave propagation. The propagating speed of the vortex remained unchanged in the nested grid in the colliding modons test, although the vorticity amplitude decayed more slowly than that in the coarse grid. Proper development of topographic waves was achieved for both large-and small-scale mountains with a clear damping effect in association with the off-center semi-implicit average. A deepened trough in the nesting region, in comparison with that in the parent grid, was simulated in a topographic Rossby wave test. The implementation of coordinate rotation and grid nesting improved the numerical performance when managing atmospheric dynamical problems at relatively low cost.
机构:
CMA Earth System Modeling and Prediction Centre
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological SciencesCMA Earth System Modeling and Prediction Centre
庄照荣
薛纪善
论文数: 0引用数: 0
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机构:
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological SciencesCMA Earth System Modeling and Prediction Centre
薛纪善
沈学顺
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机构:
CMA Earth System Modeling and Prediction Centre
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological SciencesCMA Earth System Modeling and Prediction Centre
沈学顺
李兴良
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机构:
CMA Earth System Modeling and Prediction Centre
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological SciencesCMA Earth System Modeling and Prediction Centre
机构:
CMA Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaCMA Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
Zhuang Zhao-rong
Xue Ji-shan
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机构:
CMA Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaCMA Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
Xue Ji-shan
Shen Xue-shun
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机构:
CMA Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaCMA Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
Shen Xue-shun
Li Xing-liang
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机构:
CMA Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaCMA Earth Syst Modeling & Predict Ctr, Beijing 100081, Peoples R China
机构:
Tokyo Inst Technol, Dept Energy Sci, Midori Ku, Yokohama, Kanagawa 2268502, Japan
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaTokyo Inst Technol, Dept Energy Sci, Midori Ku, Yokohama, Kanagawa 2268502, Japan
Li, Xingliang
Chen, Dehui
论文数: 0引用数: 0
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaTokyo Inst Technol, Dept Energy Sci, Midori Ku, Yokohama, Kanagawa 2268502, Japan
Chen, Dehui
Peng, Xindong
论文数: 0引用数: 0
h-index: 0
机构:
JAMSTEC, Earth Simulator Ctr, Yokohama, Kanagawa, JapanTokyo Inst Technol, Dept Energy Sci, Midori Ku, Yokohama, Kanagawa 2268502, Japan
Peng, Xindong
Takahashi, Keiko
论文数: 0引用数: 0
h-index: 0
机构:
JAMSTEC, Earth Simulator Ctr, Yokohama, Kanagawa, JapanTokyo Inst Technol, Dept Energy Sci, Midori Ku, Yokohama, Kanagawa 2268502, Japan
Takahashi, Keiko
Xiao, Feng
论文数: 0引用数: 0
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机构:
Chinese Acad Sci, Inst Mech, Beijing 100080, Peoples R ChinaTokyo Inst Technol, Dept Energy Sci, Midori Ku, Yokohama, Kanagawa 2268502, Japan
机构:
China Meteorol Adm, Numer Weather Predict Ctr, Beijing, Peoples R ChinaChina Meteorol Adm, Numer Weather Predict Ctr, Beijing, Peoples R China
Li, Xingliang
Chen, Chungang
论文数: 0引用数: 0
h-index: 0
机构:
Xi An Jiao Tong Univ, Dept Earth Environm, Sch Human Settlement & Civil Engn, Xian 710049, Peoples R ChinaChina Meteorol Adm, Numer Weather Predict Ctr, Beijing, Peoples R China
Chen, Chungang
Xiao, Feng
论文数: 0引用数: 0
h-index: 0
机构:
Tokyo Inst Technol, Dept Energy Sci, Yokohama, Kanagawa, JapanChina Meteorol Adm, Numer Weather Predict Ctr, Beijing, Peoples R China
Xiao, Feng
Shen, Xueshun
论文数: 0引用数: 0
h-index: 0
机构:
China Meteorol Adm, Numer Weather Predict Ctr, Beijing, Peoples R ChinaChina Meteorol Adm, Numer Weather Predict Ctr, Beijing, Peoples R China
机构:
Chongqing Inst Finance, Chongqing, Peoples R China
Univ Elect Sci & Technol China, Predict Res Ctr, Chengdu, Peoples R China
Sichuan Univ, Sch Econ, Chengdu, Peoples R ChinaChongqing Inst Finance, Chongqing, Peoples R China
机构:
China Meteorol Adm, Ctr Numer Weather Predict, Beijing 100081, Peoples R ChinaChina Meteorol Adm, Ctr Numer Weather Predict, Beijing 100081, Peoples R China
Li, Xingliang
Shen, Xueshun
论文数: 0引用数: 0
h-index: 0
机构:
China Meteorol Adm, Ctr Numer Weather Predict, Beijing 100081, Peoples R ChinaChina Meteorol Adm, Ctr Numer Weather Predict, Beijing 100081, Peoples R China
Shen, Xueshun
Peng, Xindong
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaChina Meteorol Adm, Ctr Numer Weather Predict, Beijing 100081, Peoples R China
Peng, Xindong
Xiao, Feng
论文数: 0引用数: 0
h-index: 0
机构:
Tokyo Inst Technol, Dept Energy Sci, Yokohama, Kanagawa 2268502, JapanChina Meteorol Adm, Ctr Numer Weather Predict, Beijing 100081, Peoples R China
Xiao, Feng
Zhuang, Zhaorong
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机构:
China Meteorol Adm, Ctr Numer Weather Predict, Beijing 100081, Peoples R ChinaChina Meteorol Adm, Ctr Numer Weather Predict, Beijing 100081, Peoples R China
Zhuang, Zhaorong
Chen, Chungang
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机构:
Xi An Jiao Tong Univ, School Human Settlement & Civil Engn, 28 Xianning West Rd, Xian 710049, Shaanxi, Peoples R ChinaChina Meteorol Adm, Ctr Numer Weather Predict, Beijing 100081, Peoples R China
Chen, Chungang
[J].
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2012,
2012,
9
: 1004
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1013
机构:
Xian Jiaotong Liverpool Univ, Suzhou, Peoples R China
Copenhagen Business Sch, Copenhagen, DenmarkXian Jiaotong Liverpool Univ, Suzhou, Peoples R China