Accuracy Test and Analysis for GPT2w Model in China

ZHU Mingchen; HU Wusheng; WANG Laishun

doi:10.13203/j.whugis20170387

Volume 44 Issue 9

Sep. 2019

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Geomatics and Information Science of Wuhan University > 2019 > 44(9): 1304-1311. > DOI: 10.13203/j.whugis20170387

ZHU Mingchen, HU Wusheng, WANG Laishun. Accuracy Test and Analysis for GPT2w Model in China[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1304-1311. DOI: 10.13203/j.whugis20170387

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Accuracy Test and Analysis for GPT2w Model in China

1.
School of Transportation, Southeast University, Nanjing 210096, China
2.
College of Engineering and Architecture, Tongling University, Tongling 244061, China

Funds:

The National Natural Science Foundation of China 41574022

The National Natural Science Foundation of China 41274028

the Key Project of College Natural Science Funding of Anhui Provincial Department of Education KJ2018A0480

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Author Bio:
ZHU Mingchen, PhD candidate, specializes in GNSS meteorology. E-mail:491203657@qq.com
Corresponding author:
HU Wusheng, PhD, professor. E-mail: wusheng.hu@163.com
Received Date: June 20, 2018
Published Date: September 04, 2019

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Abstract

Abstract

GPT2w model is commonly used to calculate the meteorological parameters at certain location, such as temperature, weighted mean temperature, pressure and vapor pressure. It is also the public empirical model for tropospheric delay with the best nominal accuracy. In this paper, meteorological sounding data from 2013-2015 of 86 stations in China is used, which have participated the global meteorological exchange. Precisions of meteorological parameters from GPT2w are examined and analyzed. It turns out that the average bias (Bias) and root mean square error (RMS) of temperature are 1.31℃ and 3.62℃, respectively. For weighted mean temperature, the Bias is -1.58 K and the RMS is 4.07 K. For pressure and vapor pressure, the absolute values of Bias are smaller than 1 hPa, and the RMS are 6.98 hPa and 3.04 hPa, respectively. Using the data from 2006-2015, periodic characterization of the accuracy of different latitude models are analyzed. It turns out that the RMS of temperature, weighted mean temperature, pressure and vapor pressure shows certain periodic patterns, and differs with different latitude regions. In general, GPT2w model exhibits high precision and stability within the area of China.
- GPT2w model,
- tropospheric delay,
- meteorological parameter,
- accuracy analysis

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