摘要
基于Pydda反演算法、三次方程内插法及典型相关分析法,利用多普勒雷达径向速度反演风场、ERA5-Land再分析风场和气象自动站风场进行风场数据融合,并分析1909号超强台风“利奇马”登陆前后融合风场的特征。试验结果表明:融合风场结合了各类风场的独特优势,能够弥补高海拔地区观测资料缺乏的不足;融合风场既包含低层风场的大风速区特征,也包含反演风场中超强台风“利奇马”的北倾结构特征。融合风场通过低层风场的传导能够对下一时刻的地面大风区起到一定指示作用,结合地形可以进一步判断强降水发生的大致范围,有助于划定风雨灾害影响区域。
Based on Pydda inversion algorithm,cubic interpolation method and typical correlation analysis method,the wind field data are fused from Doppler radial velocity inversion wind field,ERA5-Land reanalysis wind field and automatic station wind field,and the characteristics of the fused wind field before and after the landfall of the super Typhoon"Lekima"(1909)are analyzed.The results show that the fused wind field with unique advantage of each wind source overcomes the deficiency of the lack of observational data at high altitudes,which performs well both for the large wind speed areas in the low-level atmosphere and the northdipping vertical structure of the super Typhoon"Lekima"(1909).The fusion wind field can provide some indications of the windy area on the ground at the next time step through analyzing the low-level wind field at current time step,and further predict approximate extent of heavy precipitation after combining the topography information which can be used to identify the impacting areas of wind and rain disasters.
作者
方奎明
谈志安
陈莲
李渊
陆桥
FANG Kuiming;TAN Zhian;CHEN Lian;LI Yuan;LU Qiao(Taizhou Meteorological Bureau,Taizhou 318000,China;Luqiao Meteorological Bureau,Taizhou 318050,China;Yuhuan Meteorological Bureau,Taizhou 317600,China)
出处
《海洋预报》
CSCD
北大核心
2024年第5期99-106,共8页
Marine Forecasts
基金
浙江省气象科技计划项目(2021YB32)。
关键词
多源数据
风场反演
风场融合
台风风场
风速识别
multi-source data
wind field inversion
wind field fusion
typhoon wind field
wind speed identification
