江西省加权平均温度季节性多因子模型研究  

Seasonal Multi-factor Model of Weighted-Mean Temperature in Jiangxi Province

作　　者：武可强 王建强[1] 万安国 WU Keqiang;WANG Jianqiang;WAN Anguo(Faculty of Geomatics,East China University of Technology,Nanchang 330013,China)

机构地区：[1]东华理工大学测绘工程学院,江西南昌330013

出　　处：《测绘地理信息》2021年第4期44-49,共6页Journal of Geomatics

基　　金：国家自然科学基金(41664001)。

摘　　要：利用江西地区南昌和赣州两个站点2014-2016共3年的探空资料,基于数值积分和最小二乘的方法分别建立了江西省单因子和多因子加权平均温度模型。两种模型的偏差集中在-3~3K,优于广泛使用的Bevis模型和文献[6]建立的江西模型。对比江西单因子和多因子模型,发现多因子模型的精度更高,在南昌、赣州及全局的精度分别有了7%、9%和6%的提高。最后,按照季节分区建立了江西省季节多因子模型,相比全年的多因子模型,季节多因子模型的精度在四季分别有1%、9%、6%和3%的提高。Based on the sounding data of the two stations in Nanchang and Ganzhou in Jiangxi Province from 2014to 2016,the single factor and multi-factor weighted average temperature models of Jiangxi Province were established based on numerical integration and least squares.The deviations of the two models are concentrated in-3~3K,which is better than the widely used Bevis model and the Jiangxi model established by Shanjiusheng.Comparing the single factor and multi-factor models in Jiangxi,the accuracy of the multi-factor model was found to be higher,and the accuracy in Nanchang,Zhangzhou and the whole increased by 7%,9%and 6%,respectively.Finally,the seasonal multi-factor model of Jiangxi Province was established according to the seasonal division.Compared with the multi-factor model for the whole year,the accuracy of the seasonal multi-factor model is improved by 1%,9%,6%and 3%.

关 键 词：数值积分 最小二乘 加权平均温度 季节分区 GNSS气象 

分 类 号：P228[天文地球—大地测量学与测量工程]