摘要
利用在四川省阿坝、甘孜和雅安布置的3个称重式电线积冰自动观测站2017年2月4—5日观测资料讨论该装置观测数据处理方法并分析所观测气象要素与数据的关联度。结果表明:基于T值的小波滤波方法具有良好的滤波效果,经过小波滤波后原始数据中的干扰量得到了有效抑制和消除,保留了数据变化的特征信息。通过灰色综合关联度分析,气象要素与电线积冰称重数据的关联度大小依次为温度、气压和风速,关联度在0.516~0.632之间;综合风向玫瑰图分析发现,迎风向导线积冰的增长大于顺风向。
It is to discuss the processing methods of observation data and to analyze the relation between meteorological elements and observation data by means of the daily measurement from three weighing wireicing automatic observation stations in Ya＇an,Aba and Garza,Sichuan Province from February 4 to February 5.The results show that the wavelet filtering method based T-value has a good filtering effect for weighing data and it is possible to effectively suppress the noise in the original observation data and retain the characteristic information of the data change.According to the degree of grey comprehensive relation between meteorological factors data and weighing wire icing data,the sequence is：temperature,atmospheric pressure,and wind speed with the relation degree being between 0.516 and 0.632.The analysis of wind direction rose diagram shows that the growth of ice accretion on the windward side is larger than that in the downwind direction.
作者
曼世超
卢会国
蒋娟萍
赵锦阳
Gong Xi, Zeng Tao, Yang Weifa, Cai Ming(Hubei Meteorological Information and Technology Support Center, Wuhan 43007)
出处
《气象科技》
2018年第2期237-244,共8页
Meteorological Science and Technology
基金
四川省教育厅重点科研项目(14ZA0170)资助
关键词
电线积冰
小波
称重数据
灰色综合关联度
platinum resistance thermometer
wireless transmission
microcontroller
wireless transmission chip
