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Comparison Between GAMIL, and CAM2 on Interannual Variability Simulation

机译:GAMIL和CAM2在年际变化模拟中的比较

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摘要

最近,新大气的总环流大气环流当模特儿(GAMIL:国际机场 LASG 的格子点大气的模型) 在大气的物理(国际机场) 的研究所被开发了,中国科学院(CAS ) ,它基于社区大气的模型版本 2 (CAM2 ) 大气的研究(NCAR ) 的国家中心。自从二,模型有一样的物理过程但是不同动态核心,内部二个模型的年度可变性模拟表演被比较。整体途径被用来减少模型内部可变性。一般来说,二个模型的模拟表演是类似的。两个模型在模仿全部的时空可变性和南部的摆动索引有好性能。GAMIL 比 GAMIL 的内部可变性有的 CAM2,和模型在东方亚洲冬季发行量模拟更好表现对比 CAM2 的外部强迫的更好的回答。这些显示动态核心的改进是很重要的。比在低纬度在中间和高纬度有更少的可预测性,这也被验证。
机译:Recently, a new atmospheric general circulation model (GAMIL: Grid-point Atmospheric Model of IAP LASG) has been developed at the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), which is based on the Community Atmospheric Model Version 2 (CAM2) of the National Center for Atmospheric Research (NCAR). Since the two models have the same physical processes but different dynamical cores, the interannual variability simulation performances of the two models are compared. The ensemble approach is used to reduce model internal variability.In general, the simulation performances of the two models are similar. Both models have good performance in simulating total space-time variability and the Southern Oscillation Index. GAMIL performs better in the Eastern Asian winter circulation simulation than CAM2, and the model internal variability of GAMIL has a better response to external forcing than that of CAM2. These indicate that the improvement of the dynamic core is very important. It is also verified that there is less predictability in the middle and high latitudes than in the low latitudes.

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