摘要
为提高GNSS反演可降水量的精度,文中采集江苏附近5个气象探空站2005—2015年共11年的数据,分析加权平均温度(Tm)年周期的变化规律,同时分析Tm与地表气温(Ts)的线性关系。结论表明,两者的线性关系会随着季节的变化发生相应的变化。文章试验几种线性回归的方案,并利用该区域2016年的数据进行检验,其中将数据每8d一组进行分段拟合得到的模型精度最高,其R_(ms)为2.49k高于传统Bevis模型的3.08k,提高近19%。
In order to improve the accuracy of GNSS inversion of PWV,this paper uses datas of five meteorological stations in Jiangsu province for total 11 years from 2005 to 2015 to analyze the annual cycle of weighted average atmospheric temperature(Tm).At the same time,surface temperature(Ts)linear relationship is analyzed and the result shows that the linear relationship between the two will change with the season.In the last,several linear regression schemes are tried and tested by using the data of 2016 years,within which the highest accuracy of the result is obtained by segmenting the data every 8 days.The R ms is 2.49 k,higher than the traditional Bevis model 3.08 k,an increase of nearly 19%.
作者
朱明晨
胡伍生
ZHU Mingchen;HU Wusheng(School of Surveying Engineering Southeast University,Nanjing 210096,China;Department of Civil Engineering and Architecture,Tongling University,Tongling 244000,China)
出处
《测绘工程》
CSCD
2018年第6期14-18,共5页
Engineering of Surveying and Mapping
基金
国家自然科学基金资助项目(41574022
41274028
41674035)
铜陵学院校级课题资助项目(2016tlxy27)
关键词
加权平均温度
线性回归
时变规律
气象探空数据
weighted average atmospheric temperature
linear regression
time-varying law
weather sounding data
