Examples of Detecting Measurement Errors with the QCRad VAP

The QCRad VAP is being developed to assess the data quality for the ARM radiation data collected at the Extended and ARCS facilities. In this study, we processed one year of radiation data, chosen at random, for each of the twenty SGP Extended Facilities to aid in determining the user configurable limits for the SGP sites. By examining yearly summary plots of the radiation data and the various test limits, we can show that the QCRad VAP is effective in identifying and detecting many different types of measurement errors. Examples of the analysis results will be shown in this poster presentation.