地理空间信息2025，Vol.23Issue(4)：75-78,4.DOI:10.3969/j.issn.1672-4623.2025.04.016
GPT系列模型在HNCORS水汽反演中的适用性评估
Applicability Evaluation of GPT Series Models in HNCORS Water Vapor Inversion
摘要
Abstract
In response to the impact of tropospheric delay on the accuracy of water vapor inversion in the global navigation satellite system(GNSS),we used observation data from the Henan continuously operating reference stations(HNCORS)to systematically evaluate the applicabil-ity of GPT series models(GPT model,GPT2 model,GPT2w model,and GPT3 model)in the Henan region.The experimental results show that the GPT3 model has the highest accuracy in obtaining temperature,pressure,water vapor pressure,and inverted PWV results,the GPT2 model and GPT2w model have the same accuracy in obtaining results,while the GPT model has the worst accuracy in obtaining results.Compared with the GPT model,the accuracy of BIAS values for temperature,air pressure and water vapor pressure obtained by the GPT3 model has been im-proved by 43.05％,39.50％and 48.92％,respectively.The accuracy of RMS values has been improved by 48.28％,33.01％and 43.50％,respec-tively.The average RMS values of PWV results obtained from the GPT model,GPT2 model,GPT2w model and GPT3 model based on HN-CORS are 3.96 mm,3.17 mm,3.04 mm and 2.35 mm,respectively.The overall accuracy of PWV results obtained from the GPT3 model is better than 3 mm.Therefore,it is recommended to use the GPT3 model for GNSS water vapor inversion in Henan region.关键词
全球卫星导航系统/GPT模型/大气可降水量/适用性Key words
GNSS/GPT model/PWV/applicability分类
天文与地球科学引用本文复制引用
郝伟涛,周慧敏,许光辉..GPT系列模型在HNCORS水汽反演中的适用性评估[J].地理空间信息,2025,23(4):75-78,4.基金项目
国家自然科学基金资助项目(41704019). （41704019）
