| 基于水汽密度比例因子的三维水汽层析算法 |
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| 引用本文： | 姚宜斌,赵庆志,何亚东,李祖锋.基于水汽密度比例因子的三维水汽层析算法[J].测绘学报,2016,45(3):260-266. |
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| 作者姓名： | 姚宜斌 赵庆志 何亚东 李祖锋 |
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| 作者单位： | 1. 武汉大学测绘学院, 湖北 武汉 430079;2. 武汉大学地球空间环境与大地测量教育部重点实验室, 湖北 武汉 430079;3. 中国电建西北勘测设计研究院有限公司, 陕西 西安 710065 |
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| 基金项目： | 41274022)，The National High-tech Research and Development Program of China(863 Program)(No.2013AA122502) 国家自然科学基金(41174012;41274022)，国家863 计划(2013AA122502) |
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| 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。
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| 关 键 词： | 水汽密度 层析 无线电探空仪 |
| 收稿时间： | 2015-05-04 |
| 修稿时间： | 2015-09-09 |
A Three-dimensional Water Vapor Tomography Algorithm Based on the Water Vapor Density Scale Factor |
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| YAO Yibin,ZHAO Qingzhi,HE Yadong,LI Zufeng.A Three-dimensional Water Vapor Tomography Algorithm Based on the Water Vapor Density Scale Factor[J].Acta Geodaetica et Cartographica Sinica,2016,45(3):260-266. |
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| Authors: | YAO Yibin ZHAO Qingzhi HE Yadong LI Zufeng |
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| Institution: | 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;2. Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan 430079, China;3. Power China Xibei Engineering Corporation Limited, Xi'an 710065, China |
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| Abstract: | 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 from 45004 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. |
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| Keywords: | water vapor density tomography radiosonde |
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