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A study of spatial water vapor distributions by using one-way residuals of GPS phase measurements

机译:利用GPS相位测量的单向残差研究水汽分布

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We investigated water vapor distribution in the troposphere, concentrating especially on meso-scale phenomena, such as a cumulus cloud, with dimension less than about 10 km in the horizontal direction by using GPS phase signals along their propagation paths. Slant path water vapor can be estimated from the GPS phase residuals obtained by subtracting the theoretical phase value from the observed one. We obtained the residuals as by-products of phase data analysis with the GIPSY-OASIS II software. We analyzed a 11-day campaign data set obtained at Yamagawa (31.2°N, 130.6°E), Japan in June, 1996. During the observation, four sudden weather condition changes were seen, the passage of a cold front and Baiu fronts. The fluctuation of the residuals is dominated by their dependence on elevation angles of the GPS Satellites rather than the fine variation of water vapor. Thus, we corrected the residuals by subtracting the elevation-angle-dependence, which was obtained by means of the residuals, for each elevation angle over the entire observation period. The water vapor distribution calculated from the corrected residuals showed more realistic features that correspond to frontal structures. However, this correlation occurred only in several cases of changes of weather condition with the passage of fronts. We further obtained good consistency with the corrected residuals even among the different types of antennas which were located within a few meters by using the another data-sets of past campaigns which were carried out on the campus of Nagoya Univ. (35.2°N, 137.0°E), Japan in October.
机译:我们研究了对流层中水汽的分布,特别是集中在中等尺度的现象上,例如积云,其水平方向上的GPS相位信号沿传播路径在水平方向上的尺寸小于10 km。可以从GPS相位残差估算出倾斜路径的水蒸气,该GPS相位残差是通过从观测到的相位中减去理论相位值而获得的。我们使用GIPSY-OASIS II软件获得了作为相位数据分析副产品的残留物。我们分析了1996年6月在日本山川县(北纬31.2°,东经130.6°)获得的为期11天的运动数据集。在观测期间,观察到四个突然的天气条件变化,即冷锋和白牛锋的经过。残余物的波动主要取决于它们对GPS卫星仰角的依赖性,而不是水蒸气的精细变化。因此,我们通过减去整个观察期内每个仰角的仰角依赖性来校正残差。根据校正后的残差计算出的水蒸气分布显示出与额叶结构相对应的更真实的特征。但是,这种相关性仅在随着锋面的经过而天气条件发生变化的几种情况下才会发生。通过使用在名古屋大学校园内开展的其他活动的其他数据集,即使位于几米以内的不同类型的天线之间,我们也获得了与校正后的残差良好的一致性。日本(35.2°N,137.0°E),10月。

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