Quality controlling GPS estimated atmospheric water vapour via stochastic modelling

来自全球定位系统卫星的信号可用于估计大气水蒸气的数量。这些信息对于气象学家进行数值天气预报至关重要，因为缺乏大气水蒸气知识是短期（0-24小时）降水预报误差的一个重要来源。然而，要在数值天气模式中实际使用，对水蒸气含量的估计必须附有一个现实的、可靠的质量指标。使用现有的全球定位系统数据处理方法目前无法达到这些质量指标，本项目旨在克服这些缺陷。

Signals from satellites of the Global Positioning System (GPS) can be used to estimate the quantity of atmospheric water vapour. Such information is vital to meteorologists for numerical weather prediction, since lack of atmospheric water vapour knowledge is a significant source of error in short term (0-24 hours) forecasts of precipitation. However, to be of practical use in numerical weather models, the estimate of the water vapour content must be accompanied by a realistic, reliable quality indicator. Such quality indicators are not currently attainable using existing GPS data processing methods, with this project aiming to overcome such deficiencies.