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Warm season mesoscale superensemble precipitation forecasts in the southeastern United States

机译:美国东南部的暖季中尺度超集合降水预报

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摘要

With current computational limitations, the accuracy of high-resolution precipitation forecasts has limited temporal and spatial resolutions. However, with the recent development of the superensemble technique, the potential to improve precipitation forecasts at the regional resolution exists. The purpose of this study is to apply the superensemble technique to regional precipitation forecasts to generate more accurate forecasts pinpointing exact locations and intensities of strong precipitation systems. This study will determine the skill of a regional superensemble forecast out to 60 h by examining its equitable threat score and its false alarm ratio. The regional superensemble consists of 12-60-h daily quantitative precipitation forecasts from six models. Five are independent operational models, and one comes from the physically initialized Florida State University regional spectral model. The superensemble forecasts are verified during the summer 2003 season over the southeastern United States using merged River Forecast Center stage-IV radar-gauge and satellite analyses. Precipitation forecasts were skillful in outperforming the operational models at all model times. Precipitation results were stratified by time of day to allow detections of the diurnal cycle. As expected, warm season daytime precipitation is commonly forced by convection, which is difficult to accurately model. Major synoptic regimes, including subtropical highs, midlatitude troughs/fronts, and tropical cyclones, were examined to determine the skill of the superensemble under various synoptic conditions.
机译:由于当前的计算限制,高分辨率降水预报的准确性具有有限的时间和空间分辨率。但是,随着超集成技术的最新发展,存在以区域分辨率改善降水预报的潜力。这项研究的目的是将超级集合技术应用于区域降水预报,以产生更精确的预报,从而确定强降水系统的确切位置和强度。这项研究将通过检查区域的合理威胁评分和虚警率,确定在60小时内预测区域超级集成的技能。区域超级集合包括来自六个模型的12-60小时的每日定量降水预报。五种是独立的操作模型,一种来自物理初始化的佛罗里达州立大学区域光谱模型。在2003年夏季,美国东南部使用合并的River Forecast Center IV阶段雷达测距仪和卫星分析对超级综合预报进行了验证。降水预测在所有模型时间都优于运行模型。根据一天中的时间对降水结果进行分层,以检测昼夜周期。不出所料,对流通常迫使暖季白天降水,这很难准确模拟。研究了主要天气状况,包括亚热带高压,中纬度谷/前锋和热带气旋,以确定在各种天气条件下超级合奏的技能。

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