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首页> 外文期刊>Journal of Applied Meteorology and Climatology >Ambient Factors Controlling the Wintertime Precipitation Distribution across Mountain Ranges in the Interior Western United States. Part II: Changes in Orographic Precipitation Distribution in a Pseudo-Global Warming Simulation
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Ambient Factors Controlling the Wintertime Precipitation Distribution across Mountain Ranges in the Interior Western United States. Part II: Changes in Orographic Precipitation Distribution in a Pseudo-Global Warming Simulation

机译:山脉内部西部山脉冬季降水分布的环境因素。 第二部分:伪全球变暖模拟中的地形降水分布的变化

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摘要

Two high-resolution (4 km) regional climate simulations over a 10-yr period are conducted to study the changes in wintertime precipitation distribution across mountain ranges in the interior western United States (IWUS) in a warming climate. One simulation represents the current climate, and another represents an similar to 2050 climate using a pseudo-global warming approach. The climate perturbations are derived from the ensemble mean of 15 global climate models from phase 5 of the Coupled Model Intercomparison Project (CMIP5). These simulations provide an estimate of average changes in wintertime orographic precipitation enhancement and finescale distribution across mountain ranges. The variability in these changes among CMIP5 models is quantified using statistical downscaling relations between orographic precipitation distribution and upstream conditions, developed in Part I. The CMIP5 guidance indicates a robust warming signal (similar to 2 K) over the IWUS by similar to 2050 but minor changes in relative humidity and cloud-base height. The IWUS simulations reveal a widespread increase in precipitation on account of higher precipitation rates during winter storms in this warmer climate. This precipitation increase is most significant over the mountains rather than on the surrounding plains. The increase in precipitation rate is largely due to an increase in low-level cross-mountain moisture transport. The application of the statistical relations indicates that individual CMIP5 models disagree about the magnitude and distribution of orographic precipitation change in the IWUS, although most agree with the ensemble-mean-predicted orographic precipitation increase.
机译:两次高分辨率(4公里)的区域气候模拟在10年期间,研究了在温暖的气候中跨越山脉冬季降水分布的变化。一个模拟代表当前的气候,另一个模拟,使用伪全球变暖方法表示类似于2050个气候。气候扰动源自来自耦合模型互通项目(CMIP5)的第5阶段的15个全球气候模型的集合均值。这些模拟提供了跨越山脉冬季地形降水增强和FineScale分布的平均变化的估计。 CMIP5模型之间的这些变化的可变性是使用统计降水分布和上游条件之间的统计缩小性关系来量化的,在I部分中开发。CMIP5引导在iwus上表示,通过类似于2050但未成年人的强大的变暖信号(类似于2 k)相对湿度和云基高度的变化。 IWUS模拟揭示了冬季风暴期间冬季风暴较高的降水率的普遍增加。这种降水量在山上最重要的是,而不是在周围的平原上。降水率的增加主要是由于低水平跨山水分运输增加。统计关系的应用表明,个人CMIP5模型不同意iWU中的地形降水变化的幅度和分布,尽管最重要的是与集合式均衡的地形降水量增加。

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