摘要
基于风廓线雷达(简称WPR)水平风资料并结合地面资料,采用局地环流分离与判定方法,对蓬莱海陆风进行计算识别。结果表明:WPR能清晰完整地捕捉到海陆风的时空演变与结构特征,据此构建了海陆风时空结构模型;WPR资料识别出蓬莱2014年84天海陆风日,时空变化特征显著,海风生消盛行时间分别为1012时、1718时,且随高度增加滞后1~2 h;陆风顶高(最大1180 m、平均674 m)较海风顶高(最大940 m、平均450 m)大且两者有较好的相关性;海风强度总体大于陆风,二者最大风速分别为6.7、5.1 m·s^(-1)。识别出49月共15天海风环流,昼间海风顶高(513 m)较陆风的(951 m)低,海风最大强度(6.0 m·s^(-1))较陆风的(3.9 m·s^(-1))大,海风与陆风风向的反相夹角在83.7°~174.9°,均值125.6°。海风和陆风其各自风层内风向均呈现随高度、时间向顺时针方向偏转趋势,风速一般是先增大后减小。
Based on the wind profile radar(WPR)horizontal wind data combined with the ground data,the local circulation separation and determination method is used to calculate and identify the Penglai sea-land breeze.The results show that WPR could capture the spatial and temporal evolution and structural characteristics of sea-land breeze in a clear and complete way,so a sea-land breeze spatio-temporal structure model is constructed on this basis.Out of the WPR data,Penglai’s 84 sea-land breeze days in 2014 are identified with significant spatio-temporal variations.The times of sea breeze generation and extinction appear from 10 to 12 o’clock and 17 to 18 o’clock respectively,delayed by 1—2 h with the increase of height.The top height of land breeze(maximum 1180 m,averaged 674 m)is higher than the top height of sea breeze(maximum 940 m,averaged 450 m)and they show a good correlation to each other.The sea breeze strength is generally stronger than the land breeze,with peak wind speed of 6.7 m·s^(-1) and 5.1 m·s^(-1),respectively.There are a total of 15 sea-breeze circulation days identified from April to September.During the daytime,the top height of sea breeze(513 m)is lower than the land breeze(951 m).The maximum sea breeze strength(6.0 m·s^(-1))is larger than the land breeze(3.9 m·s^(-1))with the inverted angle between the directions of the two ranging from 83.7°and 174.9°,and an average of 125.6°.The wind directions in each wind layer of sea breeze and land wind show a tendency to deflect in a clockwise direction along with the changes of height and time,and generally the wind speed increases first and then decreases.
作者
王栋成
邱粲
董旭光
曹洁
Wang Dongcheng;Qiu Can;Dong Xuguang;Cao Jie(Key Laboratory for Meteorological Disaster Prevention and Mitigation of Shanghai, Jinan 250031, China;Shandong Climate Center, Jinan 250031, China;Geography Department of Shanghai Normal University, Shanghai 200234, China)
出处
《气象与环境科学》
2021年第5期71-78,共8页
Meteorological and Environmental Sciences
基金
环渤海区域科技协同创新基金项目(QYXM202008)
山东省气象局气象科学技术重点研究项目(2014sdqxz05)。
关键词
风廓线雷达
海陆风
时空结构模型
局地环流分离与判定方法
wind profile radar
sea-land breeze
spatio-temporal structure model
local circulation separation and determination method