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Regional, Very Heavy Daily Precipitation in NARCCAP Simulations

机译:NARCCAP模拟中的每日区域性强降水

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摘要

The authors analyze the ability of the North American Regional Climate Change Assessment Program\u27s ensemble of climate models to simulate very heavy daily precipitation and its supporting processes, comparing simulations that used observation-based boundary conditions with observations. The analysis includes regional climate models and a time-slice global climate model that all used approximately half-degree resolution. Analysis focuses on an upper Mississippi River region for winter (December–February), when it is assumed that resolved synoptic circulation governs precipitation. All models generally reproduce the precipitation-versus-intensity spectrum seen in observations well, with a small tendency toward producing overly strong precipitation at high-intensity thresholds, such as the 95th, 99th, and 99.5th percentiles. Further analysis focuses on precipitation events exceeding the 99.5th percentile that occur simultaneously at several points in the region, yielding so-called “widespread events.” Examination of additional fields shows that the models produce very heavy precipitation events for the same physical conditions seen in the observations.
机译:作者分析了北美区域气候变化评估计划的气候模型集合模拟非常重的日降水及其支持过程的能力,并将使用基于观测的边界条件的模拟与观测进行了比较。分析包括区域气候模型和时间片全球气候模型,所有这些模型都使用了大约半度的分辨率。当假定解析的天气环流控制降水时,分析重点是冬季(12月至2月)的密西西比河上游地区。所有模型通常都能很好地再现观测中看到的降水量与强度的频谱,在高强度阈值(如第95、99和99.5个百分位数)上,倾向于产生过强降水的趋势很小。进一步的分析着重于在该地区的多个地点同时发生的超过99.5个百分点的降水事件,产生了所谓的“大范围事件”。对其他字段的检查表明,对于与观测结果相同的物理条件,该模型会产生非常严重的降水事件。

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