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Ambient Factors Controlling the Wintertime Precipitation Distribution Across Mountain Ranges in the Interior Western United States. Part I: Insights from Regional Climate Simulations

机译:山脉内部西部山脉冬季降水分布的环境因素。 第一部分:区域气候模拟的见解

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This study analyzes the control of upstream conditions on the distribution of wintertime precipitation across mountain ranges in the interior western United States using 10 winters of high-resolution regional climate model data. Three mountain ranges, the Wind River Range, the Park Range, and the Teton Range, are selected to explore the statistical relations between the precipitation distribution and upstream wind, stability, and cloud conditions. A 4-km-resolution simulation is used for the former two ranges, and a 1.33-km-resolution simulation driven by the 4-km-resolution simulation is used for the Teton Range, which is smaller and steeper. Across all three mountain ranges, the dominant factor controlling precipitation is the mountain-normal low-level wind speed. Statistically, stronger wind results in heavier precipitation and a lower upwind precipitation fraction. The low-level wind generally veers with height during precipitation events, but the amount of veering does not unambiguously affect the precipitation distribution or intensity. The more the terrain blocks the upstream flow, the more the precipitation shifts toward the upstream side of the mountain and the weaker the overall precipitation rate is. A higher cloud-base temperature and a lower cloud-base height typically are associated with heavier precipitation. Deeper clouds tend to produce heavier precipitation and a slightly lower windward/leeward contrast. Convective precipitation proportionally falls more on the lee slopes than stratiform precipitation. The upstream and macroscale cloud conditions identified herein predict both the mean precipitation rate and the upwind precipitation fraction very well for the three ranges studied here.
机译:本研究分析了使用10个高分辨率区域气候模型数据的10个冬季对山脉冬季沉淀分布的上游条件的控制。选择三个山脉,风河范围,公园范围和提顿范围,探讨降水分布和上游风,稳定性和云条件之间的统计关系。对于前两个范围使用4公里的分辨率仿真,由4公路分辨率模拟驱动的1.33公里分辨率模拟用于提取物范围,较小,更陡峭。在所有三个山区范围内,控制降水的主导因素是山地正常的低水平风速。统计上,较强的风导致较重的降水和较低的上冲沉淀级分。低级风通常在降水事件期间高度的角,但是转向的量不会明确地影响降水分布或强度。地形阻断上游流量越多,朝向山的上游侧的降水位越多,整体降水率越弱。较高的云基温度和较低的云基高度通常与较重的沉淀相关。更深的云倾向于产生较重的降水和略微较低的迎风/背风对比。对流降沉淀比层状沉淀成比例地下降更多。这里鉴定的上游和宏观云条件预测了在这里研究的三个范围内的平均沉淀率和逆风沉淀分数。

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