GPT系列对流层延迟模型在HKCORS数据中的精度评估  

Accuracy evaluation of GPT series tropospheric delay models in HKCORS data

作　　者：陈鑫[1,2] 王志城 CHEN Xin;WANG Zhicheng(School of Geographical Sciences,China West Normal University,Nanchong,Sichuan 637002,China;Nanchong Vocational College of Science and Technology,Nanchong,Sichuan 637200,China)

机构地区：[1]西华师范大学地理科学学院,四川南充637002 [2]南充科技职业学院,四川南充637200

出　　处：《导航定位学报》2021年第6期45-49,共5页Journal of Navigation and Positioning

基　　金：西华师范大学基本科研业务费资金资助项目(18D041);南充市科学技术局2021年度南充市研发资金项目(21YFZJ0035)。

摘　　要：针对全球气温气压(GPT)系列模型在反演大气可降水量(PWV)精度不一致的问题,基于香港地区连续运行参考站(HKCORS)观测数据,采用控制变量法对GPT系列模型(包括GPT模型、GPT2模型、GPT2w模型、GPT3模型)进行精度评估。实验结果表明:与GPT模型相比,GPT2模型、GPT2w模型和GPT3模型在气温、气压、水汽压方面精度显著提高,GPT3模型精度最佳,GPT2w模型和GPT2模型精度次之,GPT模型精度较差。GPT模型反演PWV与探空数据的偏差在2 mm内;GPT2模型和GPT2w模型反演PWV的精度相当,与探空数据的偏差在1.6 mm内;GPT3模型反演的PWV精度最佳,与探空数据的偏差在1 mm内。证实了不同GPT模型反演的PWV结果偏差在毫米级。In order to solve the problem that the accuracy of Global Pressure and Temperature(GPT)series models in retrieving Perceptible Water Vapor(PWV)is inconsistent,this paper used the control variable method to evaluate the accuracy of GPT series models(including GPT model,GPT2 model,GPT2w model and GPT3 model)based on the observation data of Hong Kong Continuously Operating Reference Stations(HKCORS).The experimental results showed that compared with GPT model,GPT2 model,GPT2w model and GPT3 model significantly improved the accuracy of air temperature,air pressure and water vapor pressure.GPT3 model had the highest accuracy,and the accuracy of GPT2w model and GPT2 model was better than that of GPT model.The deviation between GPT model and radiosonde data was within 2 mm.The accuracy of GPT 2 model and GPT2w model was equivalent.The deviation between GPT3 model and radiosonde data was within 1.6 mm.The accuracy of GPT3 model was the best.The deviation between GPT3 model and radiosonde data was within 1 mm.It is confirmed that the PWV results of different GPT models are within millimeter.

关 键 词：对流层延迟 全球气温气压模型 香港地区连续运行参考站 大气可降水量 精度评估 

分 类 号：P228[天文地球—大地测量学与测量工程]