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EXPLICIT AND PARAMETERIZED REALIZATIONS OF WARM-SEASON PRECIPITATION SEQUENCES OVER NORTH AMERICA

机译:北美暖季降水序列的显式和参数化实现

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Radar-based observational analyses have documented coherent rain patterns of the order 1000 km in zonal span and 1-day duration over the continental United States. Such coherent patterns often result from sequences of organized convection and occur with high frequency in midsummer. Because of the “weakly forced” conditions and the deficiencies in existing convective parameterization schemes (CPSs), modern numerical weather prediction models have considerable difficulty in realizing the coherent sequences of warmseason precipitation. It is generally believed that the path to improved prediction requires either explicit representation of convection or an entirely new type of convective parameterization. This paper presents some results of our fine-grid explicit simulations of warm season convection and comparisons with coarse-grid simulations applying traditional CPSs. The major objective is to show both the promises and problems of the explicit simulations at grid spacings that are currently affordable and the relative performance of the explicit and parameterized modeling approaches.
机译:基于雷达的观测分析已记录了美国大陆上纬向跨度为1000公里左右,持续时间为1天的连续降雨模式。这种相干模式通常是由有组织的对流序列引起的,并在仲夏高频率出现。由于“弱强迫”条件和现有对流参数化方案(CPS)的不足,现代数值天气预报模型在实现暖季降水的连贯序列方面存在相当大的困难。通常认为,改善预测的路径需要对流的显式表示或对流参数化的全新形式。本文介绍了我们对暖季对流的精细网格显式模拟的一些结果,并与使用传统CPS的粗网格模拟进行了比较。主要目的是显示当前可承受的网格间距处的显式仿真的前景和问题,以及显式和参数化建模方法的相对性能。

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