| 摘要: |
| 加权平均温度作为地基GPS大气水汽反演的一个重要参量，对水汽反演精度有着重要的影响。利用贵州省贵阳、威宁两个探空站2015—2017年的探空观测数据和地面观测数据，采用数值积分法、最小二乘法对两站的大气加权平均温度进行计算，建立了贵州省月、季度、年的大气加权平均温度本地化模型。利用2018年数据进行验证，研究结果表明：贵州加权平均温度的标准差和相对标准差、均方误差、均方根误差小于Bevis经验公式，精度优于Bevis；该模型可以用于贵州大气水汽反演。 |
| 关键词: 加权平均温度；探空数据；时空分布特征；模型建立 |
| DOI： |
| 投稿时间：2020-03-04 |
| 基金项目:贵州省气象局登记式项目（黔气科登[2019]06-02号）：贵州省大气加权平均温度时空分布特征及建模；贵州科技计划项目（黔科合支撑[2017]2539）：应用GPS技术提取贵州强降雨预报因子 |
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| Study on the Weighted Average Temperature Model of Atmosphere in Guizhou Province |
| KE Liping,LIAO Liufeng,YANG Yang,CHEN Yindong,LYU Jing |
| (Weining Meteorological Bureau of Guizhou Province, Weining 553100 , China;Guizhou Ecological Meteorology & Satellite Remote Sensing Center, Guiyang 550002 , China;Zhijin Meteorological Bureau of Guizhou Province, Zhijin 552100 , China) |
| Abstract: |
| As an important parameter of ground-based GPS atmospheric water vapor inversion, weighted average temperature has an important influence on the accuracy of water vapor inversion. Based on the data of 2015—2017,from Guiyang and Weining sounding stations in Guizhou Province, the weighted average temperature of the two stations in each month, quarter and year is calculated by using the principle of numerical integration and least square method, and the spatial-temporal distribution characteristics are analyzed, and the corresponding model is established. Using the data in 2018 for verification,the results show the standard deviation, relative standard deviation, mean square error and root mean square error of Guizhou weighted average temperature are less than Bevis empirical formula, and the accuracy is better than Bevis; the model can be used for inversion of atmospheric water vapor in Guizhou. |
| Key words: weighted average temperature； sounding data； spatio-temporal distribution characteristics； model establishment |
