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Impacts of Cumulus Parameterization Schemes on the Simulation of Interannual and Interdecadal Variation of Meiyu in the Middle and Lower Reaches of the Yangtze River by Using Regional Climate Model 4
Frontiers in Earth Science ( IF 2.9 ) Pub Date : 2020-09-07 , DOI: 10.3389/feart.2020.588038
Yijia Hu , Zhong Zhong , Yao Ha , Yuan Sun , Yimin Zhu , Lijun Yu

This study reveals the impacts of cumulus parameterization schemes (CPSs) on the simulation of interannual and interdecadal variations of Meiyu in the middle and lower reaches of the Yangtze River valley (Yangtze Meiyu) by using a regional climate model. A multiple 55-year (1955-2009) simulation of Yangtze Meiyu is conducted using RegCM4.6 with different CPSs, including the Emanuel scheme, Kuo scheme, and Grell scheme. It is found that all the CPSs have good performances in simulating the interannual variation of Yangtze Meiyu rainfall amounts. However, a large bias is found in the simulated interdecadal variation of Yangtze Meiyu rainfall amount by the three CPSs. Because the Emanuel CPS has good performance in the simulation of both interannual and interdecadal variations of Yangtze Meiyu, its overall performance in the simulation of the total amount of Yangtze Meiyu is the best among the three CPSs. The second best CPS is the Grell scheme, and the worst is the Kuo scheme. The model convergence in simulating the distribution of Yangtze Meiyu shows an obvious characteristic of interdecadal variation. During the years with strong summer monsoon and northward rain belt, the simulated distributions of Yangtze Meiyu by the three CPSs are quite different, and the model convergence is weak. On the contrary, during the years with weak summer monsoon and southward rain belt, the simulated distributions of Yangtze Meiyu by the three CPSs are similar to each other, and the model convergence is strong. As a result, when the well-known interdecadal change happens in the late 1970s, the monsoon changes from strong to weak, whereas the model convergence changes from weak to strong.



中文翻译:

使用区域气候模型4积云参数化方案对长江中下游梅雨年际和年代际变化的模拟影响4

本研究通过区域气候模型揭示了积云参数化方案(CPSs)对模拟长江中下游梅雨年际和年代际变化的影响。使用RegCM4.6和不同的CPS(包括伊曼纽尔方案,Kuo方案和Grell方案),对长江梅雨进行了长达55年(1955-2009)的模拟。结果表明,所有CPS在模拟长江梅雨降水量年际变化方面均具有良好的表现。然而,在三个CPSs模拟的长江梅雨降水量年代际变化中发现了较大的偏差。由于伊曼纽尔CPS在模拟长江梅雨的年际和年代际变化方面都具有良好的性能,在对长江梅雨总量的模拟中,其总体性能在三个CPS中是最好的。第二好的CPS是Grell方案,最差的是Kuo方案。模拟长江梅雨分布的模型收敛性表现出明显的年代际变化特征。在夏季季风强,北雨带强的年份,三个CPS对长江梅雨的模拟分布差异很大,模型收敛性较弱。相反,在夏季风弱,南雨带弱的年份,三个CPS对长江梅雨的模拟分布相似,且模型收敛性强。结果,当著名的年代际变化发生在1970年代后期时,季风从强变弱,

更新日期:2020-11-06
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