对 CMA-GFS 预测的西南涡旋路径的诊断研究:初始场的作用

Lei Wang, Qiying Chen, Ning Jiang, Jianglin Hu, Guoqiang Xu
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引用次数: 0

摘要

众所周知,西南涡(SWV)是一个可能诱发恶劣天气的重要天气系统。本研究对中国气象局全球同化预报系统(CMA-GFS)预报的西南涡路径南移进行了系统诊断。西南气旋南移的直接原因是上层槽预报减弱导致转向流偏离。根据对潜在趋势的诊断,CMA-GFS 对初始涡度平流预报的低估主导了高层低槽的弱发展。低估涡度平流的最终原因是低槽前中层高度的初始经向梯度和带状梯度较弱,导致弱地转风。CMA-GFS初始场的同化过程对这一SWV路径的预报产生了负面影响。它削弱了模式中层的π场,导致槽前中层高度梯度减弱。用更合理的场初始化数值试验验证,SWV 南移的趋势得到明显改善。该研究表明,合理的分析场对于准确预报西南伏的路径至关重要。提出了识别和解决 SWV 轨道预报问题的系统诊断流程。这项研究为诊断与 SWV 轨道相关的预报偏差提供了一种全面的方法。
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A Diagnostic Study on a Southward Southwest Vortex Track Forecasted by CMA-GFS: The Role of Initial Field
It is known that the southwest vortex (SWV) is an important weather system that may induce severe weather. The southward deviation of an SWV track forecasted by the Global Assimilation and Prediction System of the China Meteorological Administration (CMA-GFS) is systematically diagnosed in this study. The southward shift of the SWV is directly attributed to the deviation of the steering flow caused by the weak forecast of the upper-level trough. According to the diagnosis of potential tendency, the underestimation of the initial vorticity advection forecasted by CMA-GFS dominates the weak development of the upper-level trough. The underestimation of the vorticity advection is eventually sourced to the weak geostrophic wind caused by the weak initial meridional and zonal gradients of the midlevel height in front of the trough. The assimilation process on the initial field of the CMA-GFS acts a negative effect on forecasting this SWV track. It weakens the π field at midmodel level, resulting in the weak midlevel height gradient in front of the trough. A verified numerical experiment initialized by a more reasonable field is carried out and the southward shift of the SWV is obviously modified. This study suggests that a reasonable analysis field is crucial for the accurate forecast of the SWV track. The important impact of initial field deviation in key regions on the forecast in the late period is highlighted. A systematic diagnosis process for identifying and addressing forecast issues on SWV track is proposed. This research provides a comprehensive approach for diagnosing the forecast deviation associated with SWV track.
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