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Regional Extreme Monthly Precipitation Simulated by NARCCAP RCMs

机译:NARCCAP RCM模拟的区域极端每月降水

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This paper analyzes the ability of the North American Regional Climate Change Assessment Program (NARCCAP) ensemble of regional climate models to simulate extreme monthly precipitation and its supporting circulation for regions of North America, comparing 18 years of simulations driven by the National Centers for Environmental Prediction (NCEP)-Department of Energy (DOE) reanalysis with observations. The analysis focuses on the wettest 10% of months during the cold half of the year (October-March), when it is assumed that resolved synoptic circulation governs precipitation. For a coastal California region where the precipitation is largely topographic, the models individually and collectively replicate well the monthly frequency of extremes, the amount of extreme precipitation, and the 500-hPa circulation anomaly associated with the extremes. The models also replicate very well the statistics of the interannual variability of occurrences of extremes. For an interior region containing the upper Mississippi River basin, where precipitation is more dependent on internally generated storms, the models agree with observations in both monthly frequency and magnitude, although not as closely as for coastal California. In addition, simulated circulation anomalies for extreme months are similar to those in observations. Each region has important seasonally varying precipitation processes that govern the occurrence of extremes in the observations, and the models appear to replicate well those variations.
机译:本文分析了北美气候变化评估计划(NARCCAP)区域气候模型集合对北美地区极端每月降水及其支持环流进行模拟的能力,并比较了由国家环境预测中心驱动的18年模拟(NCEP)-能源部(DOE)重新分析的观察结果。该分析着重于假定寒冷的天气环流控制降水的最冷的半年(10月至3月)中最湿的10个月。对于加利福尼亚州沿海地区的降水量主要是地形的情况,这些模型可以单独和集体很好地复制极端月份的每月频率,极端降水量以及与极端相关的500-hPa环流异常。该模型还很好地复制了极端事件年际变化的统计数据。对于包含密西西比河上游流域的内部区域,该地区的降水更多地取决于内部产生的暴风雨,这些模型与月度频率和强度的观测值均相符,尽管与加利福尼亚沿海地区的观测值不相近。另外,极端月份的模拟环流异常与观测值相似。每个地区都有重要的季节性变化的降水过程,这些降水过程控制着观测值的极端值,并且这些模型似乎很好地复制了这些变化。

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