Author(s): J. H. Green; K. Xuereb; L. Siriwardena
Linked Author(s):
Keywords: Rainfall data; Quality control
Abstract: The revision of the Intensity-Frequency-Duration (IFD) estimates for Australia needed a quality controlled database of daily-read and continuous rainfall data to be established. This required identifying all authorities who are collecting rainfall data, the extraction and archiving of the data, and the quality controlling of the data to a consistent standard. The large amount of data meant that manual techniques for quality controlling the data were not feasible necessitating the development of a largely automated procedure. The adopted approach in this study incorporates the automatic identification of suspect data using various techniques including domain checking; Barnes analysis; precipitation multi-sensor comparison, and the checking of station site metadata. Automated procedures were adopted for the identification and disaggregation of accumulated totals, infilling of missing data, and the correction of time shifts. The resultant high quality database is suitable not only for the IFD revision but also for a range of hydrologic analyses.
Year: 2011