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首页> 外文期刊>Journal of hydrometeorology >Local Enhancement of Extreme Precipitation during Atmospheric Rivers as Simulated in a Regional Climate Model
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Local Enhancement of Extreme Precipitation during Atmospheric Rivers as Simulated in a Regional Climate Model

机译:在区域气候模型中模拟的大气河流中极端降水的局部提高

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This paper examines the synoptic conditions that yield extreme precipitation in two regions with different orographic features, the Olympic Mountains and Puget Sound. To capture orographic extreme precipitation, a dynamical downscaling is performed, driven by the NCEP-NCAR reanalysis and evaluated for cool-season months from 1970 to 2010. Clustering techniques are applied to the regional climate simulation, which reveals the Olympic Mountains and Puget Sound as regions with distinct temporal variability in precipitation. Results show that approximately one-third of the extreme precipitation events in each region occur without a similarly extreme event in the other, in spite of the fact that the two areas are very closely located and one is downstream of the other. Composites of synoptic conditions for extreme precipitation events show differences in integrated vapor transport (IVT) due to its dynamical component (winds at 850 hPa) and its thermodynamical component [integrated water vapor (IWV)]. For Puget Sound events, IVT is lower compared to Olympic Mountain events because of lower wind speeds. Olympic Mountain events have lower IVT compared to events with extreme precipitation in both regions, but in this case, the difference is due to lower IWV and more southerly winds. These differences in the large-scale conditions promote differences in the mesoscale mechanisms that enhance precipitation in each location. For Puget Sound events, static stability is higher, and there is a weak rain shadow. For Olympic Mountain events, static stability is lower, and a strong rain shadow is present. During extreme events in both regions, orographic modulation is minimized and large-scale effects dominate.
机译:本文探讨了两个地区产生极端降水的概率条件,奥林匹克山脉和普吉特声音。为了捕获地形极端降水,通过NCEP-NCAR再分析驱动,通过NCEP-NCAR再分析驱动,从1970年到2010年评估了凉爽季节。集群技术适用于区域气候模拟,揭示奥运山脉和普吉特声音沉淀下具有不同时间变异性的区域。结果表明,除了两个区域非常紧密的情况下,其他地区的大约三分之一的沉淀事件中的大约三分之一的极端沉淀事件发生而没有类似的极端事件。极端沉淀事件的概要条件的复合物显示出由于其动态组分(850 HPA的风)及其热力学组分[集成水蒸气(IWV)]的差异。对于Puget Sound Events,由于风速较低,IVT与奥林匹克山事件相比较低。与两个地区极端降水的事件相比,奥运山事件具有较低的IVT,但在这种情况下,差异是由于IWV较低和更南风的风。这些差异在大规模的条件下促进了在每个位置增强降水的偏压机制的差异。对于Puget声音事件,静态稳定性更高,雨云薄弱。对于奥运山事件,静态稳定性较低,存在强大的雨云。在两个地区的极端事件中,识别且大规模效果占据占主导地位的极端事件。

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