论文标题
一个操作框架，可以自动评估第三方电台的天气观测质量
An operational framework to automatically evaluate the quality of weather observations from third-party stations
论文作者
论文摘要
由于建立了越来越多的众包私人自动气象站（称为TPAWS），以填补官方网络的空白并为各种目的获得当地天气信息，因此数据质量是促进其使用情况的主要关注点。对于TPAWS观察达成共识，必须进行适当的质量控制和评估。为了获得对操作系统的近乎实时评估，我们提出了一个基于AI/STAT/ML模型的简单，可扩展和可解释的框架。该框架与官方资料构建单独的单个数据模型，然后通过融合各个模型来提供最终评估。我们提出的框架的性能通过合成数据评估，并通过将其应用于Re-Al TPAWS网络来证明。
With increasing number of crowdsourced private automatic weather stations (called TPAWS) established to fill the gap of official network and obtain local weather information for various purposes, the data quality is a major concern in promoting their usage. Proper quality control and assessment are necessary to reach mutual agreement on the TPAWS observations. To derive near real-time assessment for operational system, we propose a simple, scalable and interpretable framework based on AI/Stats/ML models. The framework constructs separate models for individual data from official sources and then provides the final assessment by fusing the individual models. The performance of our proposed framework is evaluated by synthetic data and demonstrated by applying it to a re-al TPAWS network.
