顾及日变化的山东省大气加权平均温度模型构建  

Weighted Mean Temperature Model Construction Considering Diurnal Variation in Shandong Province

作　　者：邓莹莹 范士杰[1] 陈钰[2] 刘兆健 臧建飞 DENG Yingying;FAN Shijie;CHEN Yu;LIU Zhaojian;ZANG Jianfei(School of Ocean and Spatial Information,China University of Petroleum,Qingdao 266580,China;The First Institute of Surveying and Mapping,Shandong Provincial Institute of Territorial Surveying and Mapping,Jinan 250102,China)

机构地区：[1]中国石油大学(华东)海洋与空间信息学院,山东青岛266580 [2]山东省国土测绘院第一测绘院,山东济南250102

出　　处：《地理空间信息》2023年第12期47-50,共4页Geospatial Information

基　　金：山东省自然科学基金资助项目(ZR2019MD005)。

摘　　要：联合使用无线电探空和数值气象模式数据,构建了顾及日变化特征的山东省大气加权平均温度模型。以ERA5积分T_(m)值为参考,对构建T_(m)模型用于山东省卫星定位连续运行综合应用服务系统(SDCORS)的精度和适用性进行了验证。结果表明:顾及日变化的山东省T_(m)模型基本消除了系统性偏差影响,均方根误差(RMSE)为3.0 K左右,较Bevis模型和Li模型分别提升24%和16%;且该模型具有良好的稳定性,在SDCORS各站点处的RMSE的最大变化为0.3 K,能够满足SDCORS的GNSS水汽反演应用需求。In this paper,we used the radiosonde and numerical meteorological model data to construct a weighted mean temperature model for Shandong Province considering diurnal variation.By using the ERA5 integral as a reference,we verified the accuracy and applicability of T_(m) model for Shandong continuously operating reference stations(SDCORS).The results showthat the influence of systemic bias is basically elimi-nated in T_(m) model for Shandong Province with the consideration of diurnal variation,and the root mean square error(RMSE)is about 3.0K,which is improved by 24%and 16%compared with Bevis model and Li model,respectively.Moreover,this model has good stability,and the maximum change of RMSE at SDCORS stations is 0.3K,which can meet the application requirements of GNSS water vapor inversion of SD-CORS.

关 键 词：大气加权平均温度 无线电探空 ERA5 日变化 

分 类 号：P208[天文地球—地图制图学与地理信息工程]