摘要
绝大多数地基GPS站观测时未进行测站上空气象观测,导致无法获得精确的大气加权平均温度(GT_m),限制了地基GPS遥感水汽的应用。基于此,本文分析了利用GGOS Atmosphere T_m格网数据获取新疆地区加权平均温度(T_m)的方法。利用无线电探空资料评估由GGOS Atmosphere加权平均温度格网数据计算得到的GT_m的精度,通过考虑季节和地理变化的精化模型对GT_m进行改正。结果表明,利用平均值插值方法得到的GT_m经过精化模型改正后,可以满足新疆地区地基GPS精密遥感水汽的要求。
The application of ground-based GPS PWV inversion has been limited due to the inaccurately calculated the weighted mean temperature because most ground-based GPS fails to detect upper-air meteorological data. This paper analyzes the methods of obtaining the weighted mean temperature by deriving the data from GGOS atmosphere weighted mean temperature grid data in Xinjiang. By using the radiosonde data, this paper evaluates the accuracy of the weighted mean temperature (GTm) derived from GGOS atmosphere weighted mean temperature grid data considering seasonal and geographic variations. We then establish a refined model to correct (GTv) . Results show that the (GTm) derived from mean value interpolation after correction using the refined model can meet the requirements of ground-based GPS precision PWV inversion in Xinjiang.
出处
《大地测量与地球动力学》
CSCD
北大核心
2017年第5期472-477,共6页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金(41664002
41541032
41064001)
广西自然科学基金(2015GXNSFAA139230)
广西空间信息与测绘重点实验室基金(14-045-24-10
15-140-07-11)~~