An Automated Quality Control Method for Daily Rain-gauge Data

摘要

An automated quality control (QC) system was developed for detecting errors in daily rain-gauge data. This QC system was basically designed to detect obvious errors such as clerical errors automatically and objectively. A total of 14 components have been developed for daily rain-gauge data, but many of the components can easily be applied to other weather elements such as temperature with appropriate changes in parameters. The authors applied the QC system to a continental-scale rain-gauge network. The results are illustrated herein with examples with discussions of possible causes for each kind of error. While most of the errors were found in data which had not been subjected to thorough QC, many basic errors were also found in this widely used global/regional dataset. The results given by newly proposed QC components, which use multiple data records at the same station but from different data sources, show that such comparison tests are important and work well for detecting errors such as unit misconversions.