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| 海上动态GPS大气可降水量信息反演 |
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范士杰1,2,3,4,刘焱雄3,高兴国3,冯义楷3,张健3
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(1.武汉大学测绘学院，湖北武汉430079;2.中国石油大学地球科学与技术学院，山东青岛266580;3.国家海洋局第一海洋研究所，山东青岛266061;4.海岛(礁)测绘技术国家测绘局重点实验室，山东青岛266510)
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| 摘要: |
| 基于精密单点定位(PPP)技术,对海洋上空大气可降水量(PWV)信息反演方法进行研究。采用随机游走过程 估计方法,动态模拟船载GPS接收机天顶对流层湿延迟(ZWD)在时间和空间尺度上的随机变化。利用渤海湾船载 动态GPS测量数据和同步气象观测数据,结合海洋动态环境，以渤海湾MM5模式积分水汽为参考值,详细分析不同 随机过程噪声约束和卫星截至高度角等因素对PWV提取精度的影响。结果衷明,选取2~5mmA/R的随机过程噪声 约束以及7。10。的卫星截至高度角，海上船载动态PWV反演结果与MM5模式积分水汽基本一致,其偏差的绝对 值均小于3 mm,均方根误差优于1. 2 mm。 |
| 关键词: GPS气象学 精密单点定位 随机游走过程 天顶对流层湿延迟 大气可降水量 信息反演 |
| DOI：10.3969/j.issn.1673-5005.2012.03.013 |
| 分类号:P228.4 |
| 基金项目:国家“863”计划项目(2009AA12Z127);海岛(礁)测绘技术国家测绘局重点实验室项目(2010B03) |
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| Retrieval method of marine kinematic GPS precipitable water vapor |
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FAN Shi-jie1,2,3,4,LIU Yan-xiong3,GAO Xing-guo3,FENG Yi-kai3,ZHANG Jian3
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(1. School of Geodesy and Geomatics ? Wuhan University，Wuhan 430079, China ;2. School of Geosciences in China University of Petroleum, Qingdao 266580, China;3. The First Institute of Oceanography，State Oceanic Administration, Qingdao 266061, China;4. Key Laboratory of Surveying and Mapping Technology on Island and Reef, State Bureau of Surveying and Mapping，Qingdao 266510，China)
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| Abstract: |
| The retrieval method of marine kinematic GPS precipitable water vapor (PWV) was researched using precise point positioning < PPP) technique. The random variation of GPS zenith wet dalay in the time and spatial scales was simulated by the evaluation method of random walk process. The ship-borne GPS data and simultaneous meteorological observation in Bo-hai sea were processed. Then the integral water vapor for MM5 model was used as reference, and the influence of PWV retrieval precision for different random process noise constraint and cut-off elevation angle was analyzed. The results show that the absolute differences of marine kinematic GPS/PWV are all less than 3 mm and the root mean square error is 1. 2 mm, using random process noise constraint of 2-5 mmA/fT and cut-off elevation angle of 7°-10°, The ship-bome kinematic GPS/ PWV agrees well with the integral water vapor for MM5 model. |
| Key words: GPS meteorology precise point positioning random walk process zenith wet delay precipitable water vapor information retrieval |
