摘要
针对大气加权平均温度(T_m)易受地理位置等因素影响的问题,给出一个适合长三角地区的T_m本地化模型:利用长三角地区7个探空站2015—2017年的探空数据,分析T_m与地面温度T_s的线性关系;并基于最小二乘原理对长三角地区T_m进行一元线性拟合。实验结果表明,本地化模型T_m值与实际T_m的差值的平均偏差和均方根值、利用本地化T_m模型计算的GPS大气可降水量与探空数据得到的大气可降水量的差值的平均偏差和均方根值均比常用的Bevis模型精度有所提高,即利用本地化模型可获得更准确的T_m和大气可降水量。
Aiming at the problem that it is susceptible to geographic location and other factors for the weighted mean temperature of atmosphere(T_m),the paper gave a localized model of T_m suitable for the Yangtze River Delta Region:the linear relationship between T_m and surface temperature T_s was analyzed by using the observations of 7 radiosonde stations during 2015—2017 in the Yangtze River Delta Region;and the T_m was linearly fitted with one viable based on the principle of least squares.Experimental result showed that the mean deviation and RMS of the differences between the T_m and real T_m,and those between GPS PWV calculated by the T_m and the PWV obtained from radiosonde data would be all better than the accuracy by common Bevis model,which means that the more precise T_m and PWV could be got by the localized model.
引文
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