GPT2模型的精度检验与分析

doi:10.11947/j.AGCS.2015.20140356

测绘学报 ›› 2015, Vol. 44 ›› Issue (7): 726-733.doi: 10.11947/j.AGCS.2015.20140356

GPT2模型的精度检验与分析

姚宜斌^1,2, 曹娜¹, 许超钤¹, 杨军建¹

1. 武汉大学测绘学院, 湖北武汉 430079;
2. 武汉大学地球空间环境与大地测量教育部重点实验室, 湖北武汉 430079

收稿日期:2014-01-06 修回日期:2014-06-30 发布日期:2015-07-28
作者简介:姚宜斌(1976-),男,教授,主要从事测量数据处理理论与方法、GPS空间环境学等研究。E-mail:ybyao@whu.edu.cn
基金资助:
国家自然科学基(41174012;41274022);国家863计划 (2013AA122502);教育部新世纪优秀人才支持计划(NCET-12-0428)

Accuracy Assessment and Analysis for GPT2

YAO Yibin^1,2, CAO Na¹, XU Chaoqian¹, YANG Junjian¹

1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
2. Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan 430079, China

Received:2014-01-06 Revised:2014-06-30 Published:2015-07-28
Supported by:
The National Natural Science Foundation of China(Nos.41174012;41274022);The National High Technology Research and Development Program of China(863 Program)(No.2013AA122502);The Program for New Century Excellent Talents in University(No.NCET-12-0428)

摘要/Abstract

摘要： GPT模型常被用于计算气温、气压等对流层延迟气象参数,针对其不足之处,Lagler提出了改进的全球经验模型GPT2,该模型不仅提高了GPT气温和气压模型的精度,而且可提供比湿、水汽压、映射函数等对流层参数。但是目前没有相关文献对GPT2的精度进行详尽的分析,本文利用ECWMF及NOAA提供的高精度气象数据,对GPT2气温、气压和水汽压模型进行精度检验及分析。结果表明,气温的Bias均值为-0.59℃,RMS均值为3.82℃左右;气压和水汽压的Bias均值绝对值在1 mb以内,气压的RMS均值为7 mb左右,水汽压则不超过3 mb,不同纬度精度存在差异,三者均具有明显的季节性。总体而言,GPT2模型在全球范围内具有很高的精度和稳定性。

关键词: 对流层斜路径延迟, GPT, GPT2, 欧洲中期天气预报中心, 美国国家海洋和大气管理局

Abstract: GPT(global pressure and temperature) is a global empirical model usually used to provide temperature and pressure for the determination of tropospheric delay, there are some weakness to GPT, these have been improved with a new empirical model named GPT2, which not only improves the accuracy of temperature and pressure, but also provides specific humidity, water vapor pressure, mapping function coefficients and other tropospheric parameters, and no accuracy analysis of GPT2 has been made until now. In this paper high-precision meteorological data from ECWMF and NOAA were used to test and analyze the accuracy of temperature, pressure and water vapor pressure expressed by GPT2, testing results show that the mean Bias of temperature is -0.59℃, average RMS is 3.82℃; absolute value of average Bias of pressure and water vapor pressure are less than 1 mb, GPT2 pressure has average RMS of 7 mb, and water vapor pressure no more than 3 mb, accuracy is different in different latitudes, all of them have obvious seasonality. In conclusion, GPT2 model has high accuracy and stability on global scale.

Key words: tropospheric slant delay, GPT, GPT2, ECMWF, NOAA

中图分类号:

P228

姚宜斌, 曹娜, 许超钤, 杨军建. GPT2模型的精度检验与分析[J]. 测绘学报, 2015, 44(7): 726-733.

YAO Yibin, CAO Na, XU Chaoqian, YANG Junjian. Accuracy Assessment and Analysis for GPT2[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(7): 726-733.

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GPT2模型的精度检验与分析

Accuracy Assessment and Analysis for GPT2

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