...
首页> 外文期刊>Geophysical Research Letters >Physical controls of Southern Ocean deep-convection variability in CMIP5 models and the Kiel Climate Model
【24h】

Physical controls of Southern Ocean deep-convection variability in CMIP5 models and the Kiel Climate Model

机译:CMIP5模型中南海洋深对流变异性的物理控制与基因气候模型

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Global climate models exhibit large biases in the Southern Ocean. For example, in models Antarctic bottom water is formed mostly through open-ocean deep convection rather than through shelf convection. Still, the timescale, region, and intensity of deep-convection variability vary widely among models. We investigate the physical controls of this variability in the Atlantic sector of the Southern Ocean, where most of the models simulate recurring deep-convection events. We analyzed output from 11 exemplary CMIP5 models and four versions of the Kiel Climate Model. Of the several potential physical control parameters that we tested, the ones shared by all these models are as follows: Stratification in the convection region influences the timescale of the deep-convection variability; i.e., models with a strong (weak) stratification vary on long (short) timescales. Also, sea ice volume affects the modeled mean state in the Southern Ocean: Large (small) sea ice volume is associated with a nonconvective (convective) predominant regime.
机译:全球气候模型在南海展出大型偏见。例如,在型号中,南极底水主要通过开放海洋深对流而不是通过货架对流形成。尽管如此,模型中的时间尺度,区域和强度在模型之间的广泛变化。我们调查南海大西洋地区这种变异性的物理控制,其中大多数模型模拟了经常性的深对流事件。我们分析了11个示例性CMIP5型号的输出和四种版本的基尔气候模型。在我们测试的几个潜在物理控制参数中,所有这些模型共享的潜在物理控制参数如下:对流区域的分层影响了深对流变异性的时间尺度;即,具有强大(弱)分层的模型在长(短)时间尺寸变化。此外,海冰体积影响南海的建模平均状态:大(小)海冰体积与非共置(对流)主要的制度相关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号