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Long-term trends in the atmospheric water vapor content estimated from ground-based GPS data

机译:根据地面GPS数据估算的大气水汽含量的长期趋势

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摘要

We have used 10 years of ground-based data from the Global Positioning System (GPS) to estimate time series of the excess propagation path due to the gases in the neutral atmosphere. We first derive the excess path caused by water vapor which in turn is used to infer the water vapor content above each one of 33 GPS receiver sites in Finland and Sweden. Although a 10 year period is much too short to search for climate change we use the data set to assess the stability and consistency of the linear trend of the water vapor content that can be estimated from the data. The linear trends in the integrated water vapor content range from ?0.2 to +1.0 kg m?2 decade?1. As one may expect we find different systematic patterns for summer and winter data. The formal uncertainty of these trends, taking the temporal correlation of the variability about the estimated model into account, are of the order of 0.4 kg m-2 decade-1. Mostly, this uncertainty is due to the natural short-term variability in the water vapor content, while the formal uncertainties in the GPS measurements have only a small impact on the trend errors.
机译:我们已经使用了来自全球定位系统(GPS)的10年地面数据,来估计由于中性大气中的气体而导致的过度传播路径的时间序列。我们首先得出由水蒸气引起的多余路径,该路径又被用来推断芬兰和瑞典的33个GPS接收器站点中每个站点上方的水蒸气含量。尽管10年的时间太短,不足以寻找气候变化,但我们还是使用数据集来评估可以从数据中估算出的水蒸气含量线性趋势的稳定性和一致性。累积水蒸气含量的线性趋势范围从?0.2到+1.0 kg m?2×10-1。可以预期,我们会发现夏季和冬季数据的不同系统模式。考虑到估计模型的变异性的时间相关性,这些趋势的形式不确定性约为0.4千克米2 2-1。通常,这种不确定性是由于水蒸气含量的自然短期变化而引起的,而GPS测量中的形式不确定性对趋势误差的影响很小。

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