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Numerical simulations of Mediterranean heavy precipitation events with the WRF model: A verification exercise using different approaches

机译:WRF模型对地中海强降水事件的数值模拟:使用不同方法的验证练习

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An intercomparison of eight different microphysics parameterization schemes available in the Weather Research and Forecasting (WRF) model and an analysis of the sensitivity of predicted precipitation to horizontal resolution are presented in this paper. Three different case studies, corresponding to severe rainfall events occurred over the Liguria region (Italy) between October 2010 and November 2011, have been considered. In all the selected cases, the formation of a quasi-stationary mesoscale convective system over the Ligurian Sea interacting with local dynamical effects (orographically-induced low-level wind and temperature gradients) played a crucial role in the generation of severe precipitations. The data set used to evaluate model performances has been extracted from the official regional network, composed of about 150 professional WMO-compliant stations. Two different strategies have been exploited to assess the model skill in forecasting precipitation: a traditional approach, where forecasts and observations are matched on a point-by-point basis, and an object-based method where model success is based on the correct localization and intensity of precipitation patterns. This last method overcomes the known fictitious models performance degradation for increasing spatial resolution. As remarkable results of this analysis, a clear role of horizontal resolution on the model performances accompanied by the identification of a set of best-performing parameterization schemes emerge. The outcomes presented here offer important suggestions for operational weather prediction systems under potentially dangerous heavy precipitations triggered by the mechanisms discussed throughout the paper. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文介绍了天气研究和预报(WRF)模型中可用的八种不同的微物理参数化方案的比较,并对预测的降水量对水平分辨率的敏感性进行了分析。考虑了三个不同的案例研究,分别对应于2010年10月至2011年11月在利古里亚地区(意大利)发生的强降雨事件。在所有选定的案例中,在利古里亚海上形成的准平稳中尺度对流系统与局部动力效应(地形引起的低空风和温度梯度)相互作用,在强降水的产生中起着至关重要的作用。用于评估模型性能的数据集是从官方区域网络中提取的,该区域网络由约150个符合WMO的专业站点组成。已开发出两种不同的策略来评估模型在降水预报中的技能:一种传统方法,其中逐点匹配预报和观测值;以及一种基于对象的方法,其模型成功基于正确的定位和降水模式的强度。后一种方法克服了已知的虚拟模型性能下降的问题,从而提高了空间分辨率。作为此分析的显着结果,出现了水平分辨率对模型性能的清晰作用,并伴随着一组最佳性能参数化方案的确定。本文介绍的结果为在整个论文中讨论的机制触发的潜在危险的强降水条件下的运行天气预报系统提供了重要建议。 (C)2015 Elsevier B.V.保留所有权利。

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