摘要
针对传统水汽密度层析方法的缺点,设计并实现了一种基于水汽密度比例因子的三维水汽层析算法,提高了观测数据的利用率。利用香港CORS网的实测GPS和气象数据,并结合研究区域内45004探空站的探空数据,验证了该算法用于实测数据的可行性及精度,并分析了不同天气对层析新算法的影响。试验结果表明:该算法在观测数据的利用率上远大于传统层析方法,以探空数据为参考基准,RMS、水汽廓线相关系数和误差分布均优于传统方法。此外,降水天气对层析结果影响要比无降水天气的影响大。
A water vapor tomography algorithm is proposed based on the water vapor density scale factor,which improves the utilization of observation.Real GPS and meteorological data from CORS network in Hong Kong were utilized to validate the proposed approach and analyze the influence under different weather conditions.Tomographic results of the proposed approach were compared with radiosonde data from45004 station.The statistical result shows that the utilization of observation of the proposed approach is larger than that of traditional method,and the RMS,water vapor profile and error distribution are better than the traditional methods.In addition,the influence of tomographic result under the weather of precipitation is more severe than that of no precipitation weather.
出处
《测绘学报》
EI
CSCD
北大核心
2016年第3期260-266,共7页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金(41174012
41274022)
国家863计划(2013AA122502)~~
关键词
水汽密度
层析
无线电探空仪
water vapor density
tomography
radiosonde
