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The sensitivity of Alpine summer convection to surrogate climate change: an intercomparison between convection-parameterizing and convection-resolving models

机译:高山夏季对流对代理气候变化的敏感性:对流参数化和对流模式模型之间的相互熟练解

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Climate models project an increase in heavy precipitation events in response to greenhouse gas forcing. Important elements of such events are rain showers and thunderstorms, which are poorly represented in models with parameterized convection. In this study, simulations with 12?km horizontal grid spacing (convection-parameterizing model, CPM) and 2?km grid spacing (convection-resolving model, CRM) are employed to investigate the change in the diurnal cycle of convection with warmer climate. For this purpose, simulations of 11?days in June?2007 with a?pronounced diurnal cycle of convection are compared with surrogate simulations from the same period. The surrogate climate simulations mimic a?future climate with increased temperatures but unchanged relative humidity and similar synoptic-scale circulation. Two temperature scenarios are compared: one with homogeneous warming (HW) using a?vertically uniform warming and the other with vertically dependent warming (VW) that enables changes in lapse rate.The two sets of simulations with parameterized and explicit convection exhibit substantial differences, some of which are well known from the literature. These include differences in the timing and amplitude of the diurnal cycle of convection, and the frequency of precipitation with low intensities. The response to climate change is much less studied. We can show that stratification changes have a?strong influence on the changes in convection. Precipitation is strongly increasing for HW but decreasing for the VW simulations. For cloud type frequencies, virtually no changes are found for HW, but a?substantial reduction in high clouds is found for VW. Further, we can show that the climate change signal strongly depends upon the horizontal resolution. In particular, significant differences between CPM and CRM are found in terms of the radiative feedbacks, with CRM exhibiting a?stronger negative feedback in the top-of-the-atmosphere energy budget.
机译:气候模型项目响应温室气体强迫的繁重降水事件增加。此类事件的重要元素是雨水淋浴和雷暴,在具有参数化对流的模型中差不多。在这项研究中,采用12?KM水平网格间距(对流参数化模型,CPM)和2个KM网格间隔(对流分辨模型,CRM)进行模拟,以研究对对流循环的变化,温暖的气候。为此目的,六月的仿真11?天数为2007年,与同一时期的代理模拟进行了混合的对流循环。替代气候模拟模仿a?未来的气候,温度升高,但相对湿度不变和类似的舞台级循环。比较了两个温度方案:使用A垂直均匀的升温和另一个具有均匀均匀的变暖(VW),具有垂直均匀的变暖(VW),其能够变化。这两组具有参数化和显式对流的模拟表现出实质性差异,其中一些是文献中众所周知的。这些包括对流的日间周期的时序和幅度的差异,以及低强度降水的频率。对气候变化的响应要少得多。我们可以表明分层变化对对流的变化有强烈影响。 HW的降水强烈增加,但VW仿真减少。对于云类型频率,几乎没有找到HW的更改,但是对于VW,找到了高云的大幅减少。此外,我们可以表明气候变化信号强烈取决于水平分辨率。特别是,在辐射反馈方面,CPM和CRM之间的显着差异,CRM在大气层的能源预算中表现出了更强的负面反馈。

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