The Impact of Parameterized Convection on Climatological Precipitation in Atmospheric Global Climate Models

The Impact of Parameterized Convection on Climatological Precipitation in Atmospheric Global Climate Models
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参数化对流对全球大气气候模型中气候降水的影响

DOI:
10.1002/2017gl076826
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发表时间:
2018
影响因子:
5.2
通讯作者:
Maher P
Maher P
中科院分区:
地球科学1区
文献类型:
--
作者:
Maher P

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人们普遍认为对流参数化对于大气的真实模拟是必不可少的。然而,它们的不足也导致了模型偏差。本文利用无参数化对流和强迫海面温度观测的Klima互比实验模拟,考察了对流方案在现代大气模式中的作用。合理的气候降水不需要对流方案。然而,它们对于合理的日降水和限制极端日降水是必不可少的。与模式间传播相比,系统对递减率和湿度的影响也不大。没有参数化对流的开尔文波更为真实。一个意想不到的大潮湿南半球风暴路径偏倚被确定。这种风暴路径偏差在没有对流方案的情况下仍然存在,就像双热带辐合带和过度的海洋降水偏差一样。这表明模式偏差源于对流以外的过程,或者对流方案缺少关键过程。
Convective parameterizations are widely believed to be essential for realistic simulations of the atmosphere. However, their deficiencies also result in model biases. The role of convection schemes in modern atmospheric models is examined using Selected Process On/Off Klima Intercomparison Experiment simulations without parameterized convection and forced with observed sea surface temperatures. Convection schemes are not required for reasonable climatological precipitation. However, they are essential for reasonable daily precipitation and constraining extreme daily precipitation that otherwise develops. Systematic effects on lapse rate and humidity are likewise modest compared with the intermodel spread. Without parameterized convection Kelvin waves are more realistic. An unexpectedly large moist Southern Hemisphere storm track bias is identified. This storm track bias persists without convection schemes, as does the double Intertropical Convergence Zone and excessive ocean precipitation biases. This suggests that model biases originate from processes other than convection or that convection schemes are missing key processes.
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