摘要
针对中国西部地区地形复杂难以获得高精度区域加权平均温度的问题,采用该区域2015—2017年探空数据建立了一种顾及地表温度、地表水汽压、高程、纬度、气压和年积日的中国西部区域Tm模型(WTm模型)及在WTm模型基础上未顾及高程因子的Tm模型(WTm1模型)。以2018年探空站Tm数据为参考值,统计分析了WTm、WTm1、Bevis、Bevis-Z、GPT3、ERA5和CTm模型的精度,并计算了不同模型在GNSS水汽反演过程中的理论误差。结果表明,WTm模型的年均RMS和偏差分别为2.84和0.23 K,相比于Bevis、GPT3、Bevis-Z、WTm1和CTm模型,WTm模型的RMS分别提高了30.05%、36.32%、18.62%、39.57%、45.80%。虽然WTm模型的精度相较于ERA5再分析资料略低,但简化了T_(m)的计算过程,更方便用户获取T_(m)。WTm模型在GNSS水汽反演过程中的理论RMS和相对误差分别为0.15 mm和1.03%,因此WTm模型在中国西部有较好的精度及适应性,可应用于中国西部地区高精度GNSS水汽反演。
In view of the complex terrain in western China,it is difficult to obtain a high-precision regional weighted mean temperature(T_(m)).Using the radiosonde data of western China from 2015 to 2017,a Tm model(WTm model)considering surface temperature,surface vapour pressure,elevation,latitude,pressure,and day of year and a T_(m) model based on(WTm1 model)without elevation are established.Taking the T_(m) data from radiosonde station in 2018 as the reference value,the accuracy of the WTm model,WTm1 model,Bevis model,Bevis-Z model,GPT3 model,ERA5 model and CTm model are statistically evaluated.The theoretical error of different models in the process of GNSS precipitable water vapor retrieval is also calculated.The results show that the mean RMS and bias of the WTm model are 2.84 and 0.23 K,respectively.Compared with RMS of Bevis,GPT3,Bevis-Z,WTm1 and CTm models,the improvement of the WTm model are 30.05%,36.32%,18.62%,39.57%and 45.80%respectively.Although the accuracy of the WTm model is slightly lower than that of the ERA5 reanalysis data,the calculation process of T_(m) is optimized and Tm can be provided in real time.The RMS and theoretical RMS errors in GNSS precipitable water vapor are 0.15 mm and 1.03%.Therefore,WTm model has a good precision adaptability in western China,and can be applied to high-precision GNSS water vapor inversion in western China.
作者
程顺林
刘立龙
黄良珂
莫智翔
黎峻宇
曾印
CHENG Shunlin;LIU Lilong;HUANG Liangke;MO Zhixiang;LI Junyu;ZENG Yin(college of geomatics engineering and geoinformation,guilin university of technology,guilin 541006,china;guangxi key laboratory of spatial information and geomatics,guilin university of technology,guilin 541006,china)
出处
《桂林理工大学学报》
北大核心
2025年第4期552-560,共9页
Journal of Guilin University of Technology
基金
国家自然科学基金项目(41864002)
广西科技计划项目(桂科AD19110107)
广西“八桂学者”岗位专项。
