中国区域大气加权平均温度的多因子精化模型  

A Multi-factor Refined Model for Atmospheric Weighted Mean Temperature in China

作　　者：刘费帆 张露露 黄玲 黄良珂 刘立龙 LIU Feifan;ZHANG Lulu;HUANG Ling;HUANG Liangke;LIU Lilong(College of Geomatics and Geoinformation,Guilin University of Technology,Guilin,Guangxi 541006,China;School of Tourism and Landscape Architecture,Guilin University of Technology,Guilin,Guangxi 541006,China)

机构地区：[1]桂林理工大学测绘地理信息学院,广西桂林541006 [2]桂林理工大学旅游与风景园林学院,广西桂林541006

出　　处：《遥感信息》2023年第3期138-145,共8页Remote Sensing Information

基　　金：国家自然科学基金项目(41704027、4186402);广西自然科学基金项目(2020GXNSFBA297145);广西研究生教育创新计划项目(YCSW2022322)。

摘　　要：大气加权平均温度(T_(m))是全球导航卫星系统(global navigation satellite system,GNSS)反演大气可降水量(precipitable water vapor,PWV)的重要参数。文章通过中国区域的2015—2017年探空站资料,构建了顾及温度、水汽压、经纬度、高度和周期等多因子影响的T_(m)模型(T_(m)-C模型),并通过2018年的探空站资料加以检验。结果表明,T_(m)-C模型比Bevis模型、中国区域精化后的Bevis模型(T_(m)-B模型)和GPT3模型年均RMS值分别减小了30.4%、17.9%和25.4%。为进一步提高T_(m)-C模型的精度,基于中国地理分区的差异,分别建立了北方地区、南方地区、西北地区和青藏地区的区域T_(m)模型,4个地区年均RMS值对比T_(m)-C模型平均精度提升了19.9%。将T_(m)-C模型应用于GNSS水汽计算,其理论RMS值误差和相对误差分别为0.18 mm和0.95%,分区域的模型较T_(m)-C模型平均精度分别提升了22.9%和14.9%。The atmospheric weighted mean temperature(T_(m))is an important parameter for the global navigation satellite system(GNSS)inversion of atmospheric precipitable water vapor(PWV).In this paper,a T_(m) model(T_(m)-C model)that takes into account the effects of multiple factors such as temperature,water vapor pressure,latitude,longitude,altitude and period term is developed using radiosonde stations data from 2015 to 2017 in China region.Validated by the radiosonde stations data in 2018,the results show that the T_(m)-C model has 30.4%,17.9%and 25.4%lower annual average RMS values than that of the Bevis model,the refined Bevis model for China region(T_(m)-B model)and the GPT3 model,respectively.To further improve the accuracy of the T_(m)-C model,regional T_(m) models for the Northern region,Southern region,Northwestern region and Qinghai-Tibet region are established for the effects of differences in different geographical subdivisions in China,and the average annual average RMS values of the four regions are improved by 19.9%compared to the average accuracy of the T_(m)-C model.Applying T_(m)-C model to GNSS water vapor calculation,the theoretical RMS value error and relative error are 0.18 mm and 0.95%,respectively,and the average accuracy of the sub-regional model is improved by 22.9%and 14.9%,respectively,compared with T_(m)-C model.

关 键 词：大气加权平均温度 大气水汽 中国区域 地理分区 模型精化 

分 类 号：P228[天文地球—大地测量学与测量工程]