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Parameter Modulation of Madden-Julian Oscillation Behaviors in BCC_CSM1.2: The Key Role of Moisture-Shallow Convection Feedback

文献类型：期刊论文

作者Huang, Kai1,2,3,4; Ren, Hong-Li3,4; Liu, Xiangwen3,4; Ren, Pengfei3,4; Wei, Yuntao2,3,4,5; Mu, Mu1,5,6,7
刊名ATMOSPHERE
出版日期2019-05-01
卷号10期号:5页码:26
关键词Madden-Julian Oscillation moisture-convection feedback parameter perturbation eastward propagation general circulation model
ISSN号2073-4433
DOI10.3390/atmos10050241
通讯作者Ren, Hong-Li(renhl@cma.gov.cn)
英文摘要To reveal key parameter-related physical mechanisms in simulating Madden-Julian Oscillation (MJO), seven physical parameters in the convection and cloud parameterization schemes of Beijing Climate Center Climate System Model (BCC_CSM1.2) are perturbed with Latin hypercube sampling method. A new strategy is proposed to select runs with good and poor MJO simulations among 85 generated ones. Outputs and parameter values from good and poor simulations are composited separately for comparison. Among the seven chosen parameters, a decreased value of precipitation efficiency for shallow convection, higher values of relative humidity threshold for low stable clouds and evaporation efficiency for deep convective precipitation are crucial to simulate a better MJO. Changes of the three parameters act together to suppress heavy precipitation and increase the frequency of light rainfall over the Indo-Pacific region, supplying more moisture in low and middle troposphere. As a result of a wetter lower troposphere ahead of the MJO main convection, the low-level moisture preconditioning along with the leading shallow convection tends to be enhanced, favorable for MJO's further development and eastward propagation. The MJO's further propagation across the Maritime Continent (MC) in good simulations is accompanied with more land precipitation dominated by shallow convection. Therefore, the above-mentioned three parameters are found to be crucial parameters out of the seven ones for MJO simulation, providing an inspiration for better MJO simulation and prediction with this model. This work is valuable as it highlights the key role of moisture-shallow convection feedback in the MJO dynamics.
资助项目National Key Research and Development Program on monitoring, Early Warning and Prevention of Major Natural Disaster[2017YFC1502302] ; National Key Research and Development Program on monitoring, Early Warning and Prevention of Major Natural Disaster[2018YFC1505906] ; State Oceanic Administration International Cooperation Program[GASI-IPOVAI-03] ; China National Science Foundation[41606019] ; China Meteorological Administration Special Public Welfare Research Fund[GYHY201506013]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000472677600015
出版者MDPI
源URL[http://ir.qdio.ac.cn/handle/337002/161974]  
专题海洋研究所_海洋环流与波动重点实验室
通讯作者Ren, Hong-Li
作者单位1.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.China Meteorol Adm, Lab Climate Studies, Natl Climate Ctr, Beijing 100081, Peoples R China
4.China Meteorol Adm, CMA NJU Joint Lab Climate Predict Studies, Natl Climate Ctr, Beijing 100081, Peoples R China
5.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Shandong, Peoples R China
6.Fudan Univ, Inst Atmospher Sci, Shanghai 200438, Peoples R China
7.Fudan Univ, Dept Atmospher & Ocean Sci, Shanghai 200438, Peoples R China
推荐引用方式
GB/T 7714		 Huang, Kai,Ren, Hong-Li,Liu, Xiangwen,et al. Parameter Modulation of Madden-Julian Oscillation Behaviors in BCC_CSM1.2: The Key Role of Moisture-Shallow Convection Feedback[J]. ATMOSPHERE,2019,10(5):26.
APA Huang, Kai,Ren, Hong-Li,Liu, Xiangwen,Ren, Pengfei,Wei, Yuntao,&Mu, Mu.(2019).Parameter Modulation of Madden-Julian Oscillation Behaviors in BCC_CSM1.2: The Key Role of Moisture-Shallow Convection Feedback.ATMOSPHERE,10(5),26.
MLA Huang, Kai,et al."Parameter Modulation of Madden-Julian Oscillation Behaviors in BCC_CSM1.2: The Key Role of Moisture-Shallow Convection Feedback".ATMOSPHERE 10.5(2019):26.

入库方式： OAI收割

来源：海洋研究所

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