Review on the Representation of Model Uncertainty in Convection-Allowing Ensemble Prediction System
(1.Chinese Academy of Meteorological Sciences;2.Numerical Weather Prediction Center/National Meteorological Center)
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投稿时间:2018-07-25    修订日期:2019-04-07
中文摘要: 对流尺度集合预报在定量、定时、定点预报局地强天气方面,因其可以提供丰富的概率预报信息而具有显著优势,相关研究和应用受到国内外学者和数值预报业务机构的重视。相对于全球集合预报,对流尺度集合预报中有关模式不确定性的研究缺乏系统性和理论基础,成为目前研究的热点和难点。本文回顾了国内外近10年来对流尺度集合预报系统以及有关模式不确定性研究的成果。目前常用的模式扰动方法有多模式、多物理过程、多物理参数、随机物理等。这些方法在强对流事件、热带气旋强度路径等预报中得到了广泛应用,但在提高对流尺度集合离散度方面作用仍有限,主要原因在于其并没有针对性描述影响对流系统发生发展的关键物理过程的不确定性,仍然属于全球集合预报中天气尺度范畴。在回顾相关研究的同时,本文也提出了值得探索和研究的方向。
Abstract:Convection-Allowing Ensemble Prediction System (CAEPS) has obvious advantages in predicting the convective events due to fruitful probabilistic forecast information. The CAEPS is becoming one of the hot topics in researching and developing the local high-resolution numerical weather prediction (NWP) system. Comparing with global ensemble prediction system, representation of model uncertainty in CAEPS is lack of systematic research and theoretical basis, and becomes an important issue worthwhile further research. This paper devotes to reviewing the current state of CAEPS and the studies in representing the model uncertainty over the past 10 years. Up to now, several approaches have been developed in representing model uncertainties, including multi-model, multi-physic, multi-parameter and stochastic physics. These approaches have been widely applied in ensemble forecast of severe convective weather, tropical cyclone intensity and tracks and so on, but with limited effect in improving under-dispersion problem of CAEPS. Such limited effect may come from deficiency of these approaches in formulating the model uncertainties related to small-to-meso-scale system. Except for reviewing the past researches, a way to detect and describe model uncertainties at convective scale is proposed.
文章编号:201807250329     中图分类号:    文献标志码:
王璐,沈学顺,0.[en_title][J].Meteor Mon,():-.
Wang Lu,Shen Xueshun,0.Review on the Representation of Model Uncertainty in Convection-Allowing Ensemble Prediction System[J].Meteor Mon,():-.