一种新型西南低涡逐步订正识别方法
投稿时间:2017-08-06  修订日期:2018-06-12  点此下载全文
引用本文:
摘要点击次数: 100
全文下载次数: 66
作者单位E-mail
王静 中国科学院 大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室, 北京 100029
中国科学院大学, 北京 100049 
 
陈静 国家气象中心, 北京 100081 chenj@cma.gov.cn 
张进 国家气象中心, 北京 100081  
张涵斌 北京城市气象研究院, 北京 100089  
王婧卓 国家气象中心, 北京 100081  
基金项目:国家自然科学基金重大研究计划培育项目(91437113);公益性行业(气象)科研专项(GYHY201506005);国家科技支撑计划项目(2015BAC03B01)
中文摘要:西南低涡是形成于青藏高原东侧的特殊天气系统,国内学者目前对于西南低涡的识别没有统一的标准。通过分析西南低涡的主要特征,结合高度场、涡度场、风场,设计了一种适应于西南低涡的HVW识别方法,将其应用于2014年6-8月GRAPES-MESO高分辨率格点分析资料,对比与西南低涡天气图实况的差异。通过对西南低涡的识别、低涡生成和消亡时间、低涡中心位置以及低涡中心强度这几方面的具体分析,得到以下几点结论:1)HVW识别方法能够有效识别出高精度格点资料中的西南低涡过程,与格点实况的吻合率达到87.5%;对于天气图和格点资料都能够再现的西南低涡个例,HVW识别方法的准确度能够达到90.9%,说明HVW识别方法能够有效捕捉西南低涡。2)以天气图实况资料为西南低涡生命时长检验标准,HVW识别方法能够合理分析低涡的生成和消亡时间。3)对西南低涡中心位置偏差进行分析发现,HVW识别的西南低涡中心位置不仅位于西南低涡气压低值附近,更位于风场辐合中心。4)对西南低涡中心强度的评估发现,格点实况与HVW识别方法分析的西南低涡强度差异几乎可以忽略,充分说明了HVW识别方法包含了格点实况的高度场信息,也说明该识别方法的西南低涡中心强度可以用来代替格点实况结果。通过对2014年6-8月西南低涡过程的具体分析,验证了HVW逐步循环定位方法的可行性、合理性以及准确性。
中文关键词:西南低涡  HVW识别方法  高分辨率资料
 
A new method for gradually identifying the southwest vortex
Abstract:The southwest vortex is a special weather system that forms on the east side of the Tibet plateau.However,at present there is no uniform standard for the identification of the southwest vortex.In this study,based on the analysis of the main features of the southwest vortex,the HVW identification method which is suitable for the southwest vortex is designed,by combining the height,vorticity and wind.This method is then applied to the GRAPES-MESO high-precision grid analysis data from June to August in 2014,and the paper compares the difference between this method and the actual situation of the southwest vortex on the weather chart.Through the analysis of the identification of the southwest vortex,the generation and demise time,the center of the vortex and its strength,the following conclusions are obtained:(1) The HVW identification method can effectively identify the high-precision grid data in the southwest vortex process,and the coincidence rate with subjective analysis on the grid data is 87.5%.In addition,the accuracy of HVW identification method can reach 90.9% in the case of the southwest vortex,which can be reproduced in both the weather map and grid data,thereby indicating that the HVW identification method can effectively capture the southwest vortex.(2) The HVW identification method can reasonably analyze the generation and demise time of the southwest vortex life time.(3) The analysis of the location deviation of the southwest vortex center shows that the southwest vortex center position of the HVW is located near the southwest low vortex pressure,and that it is also located within the convergence center of wind field.(4) The evaluation of the strength of the southwest vortex center shows that the difference between the subjective analysis on the grid data and the HVW method is almost negligible,which reveals that the HVW identification method contains the height information of the grid data.The southwest vortex center intensity of the recognition method can be used instead of the subjective analysis of the grid data.In this paper,the analysis of the southwest vortex process from June to August,2014 is carried out to verify the feasibility,rationality and accuracy of the HVW stepwise cyclic location method.Compared with the subjective visual analysis of the weather map,it is shown that this method can effectively identify the southwest vortex weather system,reduce the error caused by the subjective analysis,and reduce the workload of the business analysis.
keywords:southwest vortex  HVW identification method  high resolution data
查看全文  查看/发表评论  下载PDF阅读器