| 气象数据缺失时地基GPS反演可降水量方法研究 |
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| 引用本文： | 毛鹏宇,陈 义,孟 鑫.气象数据缺失时地基GPS反演可降水量方法研究[J].大地测量与地球动力学,2017,37(10):1049-1052. |
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| 作者姓名： | 毛鹏宇 陈 义 孟 鑫 |
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| 摘 要： | 通过插值、Z文件等方法，对气象数据缺失时地基GPS反演可降水量的方法分长、短时段进行研究，比较不同方法的效果，以此选取气象数据缺失时合适的地基GPS反演可降水量方法。实验表明，在长时段气象数据缺失时，可以采用三次样条对气象数据插值的方法；在短时段气象数据缺失时，可以采用奇异谱迭代对气象数据插值的方法；当缺失数据占原数据比例较大时，可以采用Z文件法计算可降水量。
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| 关 键 词： | 可降水量 气象数据 插值 GAMIT |
Method of Precipitable Water Vapor Retrieval by Ground-based GPS with Missing Meteorological Data |
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| MAO Pengyu,CHEN Yi,MENG Xin.Method of Precipitable Water Vapor Retrieval by Ground-based GPS with Missing Meteorological Data[J].Journal of Geodesy and Geodynamics,2017,37(10):1049-1052. |
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| Authors: | MAO Pengyu CHEN Yi MENG Xin |
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| Abstract: | Using interpolation and Z files, we study the precipitable water vapor (PWV) value, calculated by ground-based GPS with missing meteorological data. We compare the effects of different ways to select the appropriate method of PWV retrieval by ground-based GPS with missing meteorological data. The results show that interpolation of meteorological data in long periods using spline is appropriate; interpolation of meteorological data in short periods using singular spectrum analysis is appropriate. Using Z files is a good way to calculate PWV when the missing data accounts for a larger proportion of the original data. |
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| Keywords: | PWV meteorological data interpolation GAMIT |
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