【摘要】 为检验全球气压气温模型在中国地区的精度,基于我国29个探空站2015-03²016-02期间实测的气压和气温数据,比较分析分别由GPT模型及最新的GPT2w₅和GPT2w₁模型导出的气压和气温结果。实验结果表明,中国地区3种气象模型均有明显的季节性且对纬度变化敏感,GPT2w₅与GPT2w₁模型精度相当,二者的气压和气温精度较GPT模型均有明显提高,但对于个别异常值,GPT2w₁模型较GPT2w₅模型表现出更好的鲁棒性。更多还原

【Abstract】 The global pressure and temperature model（GPT）is an empirical model providing pressure and temperature at any site in the vicinity of the earth’s surface.Aiming at mitigating the shortages of GPT,the GPT2 w model is presented,which provides more meteorological data,with a higher horizontal resolution of5°（GPT2w₅model）and 1°（GPT2w₁model）.In order to test the accuracy of pressure and temperature of GPT,GPT2w₅and GPT2w₁model,the performance of the three models are compared and analyzed at selected sites,based on 1year（2015.3to 2016.2）high-precision sounding data from 29 sounding sites in China.The results show that all three models have obvious seasonality and sensitivity to latitude change;the GPT2w₁model performs as well as the GPT2w₅model and significantly better than the GPT model;but compared with the GPT2w₅model,the GPT2w₁model is more robust.更多还原