Quality control for daily observational rainfall series in the UK
Quality control for daily observational rainfall series in the UK
复制标题
英国每日观测降雨系列的质量控制
DOI：
10.1111/j.1747-6593.2006.00035.x
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发表时间：
2006
影响因子：
2
通讯作者：
H. Wheater
中科院分区：
文献类型：
--
作者：
C. Yang;R. Chandler;V. Isham;H. Wheater
英国的每日降雨序列在使用前需要仔细的质量控制。使用两个雨量计网络的数据讨论这个问题。特别是，记录分辨率的变化或不同类型记录设备之间的不一致可能会导致偏差，在使用这些数据进行建模时应考虑到这种偏差。模型拟合被证明是研究无法解释的空间或时间不一致的有效方法。将广义线性模型与黑水流域的数据进行拟合，以说明基于模型的数据检查。一些明显无法解释的空间不一致与数据集中的跟踪值有关。通过对数据应用简单的阈值，可以消除不一致之处。
Daily rainfall sequences in the UK need careful quality control before use. This issue is discussed using data from two rain gauge networks. In particular, changes in recording resolution or inconsistencies between different types of recording device may result in biases, for which allowance should be made when these data are used for modelling. Model fitting is shown to be an effective way of investigating unexplained spatial or temporal inconsistencies. Generalized linear models are fitted to data from the Blackwater catchment to illustrate model‐based data checking. Some apparently unexplained spatial inconsistencies are related to trace values in the data set. By applying a simple threshold to the data, the inconsistencies can be removed.