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- Title
GPT2w 模型在中国区域的精度检验与分析.
- Authors
朱明晨; 胡伍生; 王来顺
- 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 empiri- cal model for tropospheric delay with the best nominal accuracy. In this paper, meteorological sounding da- ta from 2013—2015 of 86 stations in China is used, which have participated the global meteorological ex- change. 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 ℃ , respec- tively. For weighted mean temperature, the Bias is -1.58 K and the RMS is 4.07 K. For pressure and va- por 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.
- Subjects
CHINA; STANDARD deviations; VAPOR pressure; ABSOLUTE value; LATITUDE; TEMPERATURE
- Publication
Geomatics & Information Science of Wuhan University, 2019, Vol 44, Issue 9, p1304
- ISSN
1671-8860
- Publication type
Article
- DOI
10.13203/j.whugis20170387