Objectively Assessing Characteristics of Mesoscale Convective Organization in an Operational Convection Permitting Model

IF 2.8 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Monthly Weather Review Pub Date : 2023-08-16 DOI:10.1175/mwr-d-23-0033.1
Ewan Short, T. Lane
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Abstract

The realism of convective organization in operational convection permitting model simulations is objectively assessed, with a particular focus on the mesoscale aspects, such as convective mode. A tracking and classification algorithm is applied to observed radar reflectivity and simulated radar reflectivity from the operational ACCESS-C convection permitting forecast domain over northern Australia between October 2020 and May 2022, and characteristics of real and simulated convective organization compared. Mesoscale convective systems from the operational forecast model are approximately twice as likely to be oriented parallel to the ambient wind and ambient wind shear than those observed by radar, indicating a bias toward the “training line” systems typically associated with more extreme rainfall. During highly humid active monsoon conditions, simulated convective systems have larger ground-relative speeds than systems observed in radar. Although there is less than 5% difference between the ratios of simulated and observed trailing, leading and parallel stratiform system observations, significant differences exist in other wind-shear-based classifications. For instance, in absolute terms, simulated systems are 10–35% less likely to be up-shear tilted, and 15-30% less likely to be down-shear propagating than observed systems, suggesting errors in simulated cold pool characteristics.
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操作对流许可模式下中尺度对流组织特征的客观评估
对运行对流许可模式模拟中对流组织的真实性进行了客观评估,特别关注中尺度方面,如对流模式。将跟踪和分类算法应用于2020年10月至2022年5月期间澳大利亚北部ACCESS-C对流允许预报区的观测雷达反射率和模拟雷达反射率,并比较了真实和模拟对流组织的特征。运行预测模型中的中尺度对流系统平行于环境风和环境风切变的可能性大约是雷达观测到的两倍,这表明它偏向于通常与更极端的降雨相关的“训练线”系统。在高度潮湿的活跃季风条件下,模拟对流系统的地面相对速度比雷达观测到的系统大。尽管模拟和观测到的尾随、引导和平行层状系统观测的比率之间的差异不到5%,但在其他基于风切变的分类中存在显著差异。例如,从绝对值来看,模拟系统向上剪切倾斜的可能性比观察到的系统低10-35%,向下剪切传播的可能性低15-30%,这表明模拟冷池特性存在误差。
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来源期刊
Monthly Weather Review
Monthly Weather Review 地学-气象与大气科学
CiteScore
6.40
自引率
12.50%
发文量
186
审稿时长
3-6 weeks
期刊介绍: Monthly Weather Review (MWR) (ISSN: 0027-0644; eISSN: 1520-0493) publishes research relevant to the analysis and prediction of observed atmospheric circulations and physics, including technique development, data assimilation, model validation, and relevant case studies. This research includes numerical and data assimilation techniques that apply to the atmosphere and/or ocean environments. MWR also addresses phenomena having seasonal and subseasonal time scales.
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