摘要
针对大气加权平均温度(Tm)会受到地理位置、地形、气候和季节等因素不同程度影响的问题,利用湖南省长沙、郴州、怀化3个站2012—2013年探空数据计算的T_m,首先分析T_m与地面温度T_s的线性关系,再采用一元线性拟合的方法拟合出湖南不同地区及不同季节的分区分时T_m模型。研究结果表明:湖南地区本地化T_m全局模型的平均偏差和标准差都较小,预测精度优于Bevis模型,更符合实际就标准差而言,除冬季之外,春夏秋3季的标准差分别降低了0.07K、0.19K、0.03K,因此,分时T_m模型精度优于全局T_m模型,且夏季的精度提高尤为明显。因此,在湖南GPS气象业务应用中,使用分时模型可获得更高精度的T_m和大气可降水量。
Atmospheric weighted average temperature（Tm） is affected by geographical location, topography, climate and seasons. This paper will use the T,, obtained from the three sounding stations of Changsha, Huaihua and Chenzhou in Hunan province during 2012-2013. Firstly, the linear relationship between Tm and ground tern perature（Ts）will be analyzed. Then by using the linear fitting method, the Tm models will be established for different areas and seasons respectively. The results show that the average deviation and standard deviation of local Tm model are smaller comparaxively, it means that its prediction accuracy is better than Bevis model, except winter Tm model, the standard deviations of spring, summer and autumn decrease 0.07 K, 0. 19 K and 0.03 K respectively. So, the accuracies of seasonal Tm models are better than the local Tm model, especially for summer Tm modal. Therefore, in order to meet the better accuracy of atmospheric predpitable water vapor in GPS meteorology, seasonal Tm model will be used for the Hunan GPS meteorological service.
出处
《测绘科学》
CSCD
北大核心
2018年第1期54-58,65,共6页
Science of Surveying and Mapping
基金
国家自然科学基金项目(41304029)
湖南省自然科学基金青年项目(2016JJ3061)
湖南科技大学煤炭资源省重点实验室开放基金项目(E21705)
湖南省气象局预报员专项(AQKJ16C019)
湖南省气象局重点项目(XQKJ16A002)
关键词
探空资料
大气加权平均温度
Bevis模型
分区分时模型
atmospheric sounding data
weighted average temperature
Bevis model
subregional and seasonal model
