Overview
Raw river level gauge data can occasionally have errors, such as those shown in Figure 1. Therefore, it is important to have quality control (QC) procedures in place, to flag bad data, as well as identify suspicious data. We employed several quality control procedures on several months of data from over 300 river level gauges. The data from each station were used to develop quality control thresholds for its own data; this assumes that there is a sufficient amount of data (e.g., several months), and that most data at each station are accurate.