Comprehensive Automated Quality Assurance of Daily Surface Observations

@article{Durre2010ComprehensiveAQ,
  title={Comprehensive Automated Quality Assurance of Daily Surface Observations},
  author={Imke Durre and Matthew J. Menne and Byron E. Gleason and Tamara G. Houston and R. S. Vose},
  journal={Journal of Applied Meteorology and Climatology},
  year={2010},
  volume={49},
  pages={1615-1633}
}
  • I. Durre, M. Menne, R. Vose
  • Published 1 August 2010
  • Environmental Science
  • Journal of Applied Meteorology and Climatology
This paper describes a comprehensive set of fully automated quality assurance (QA) procedures for observations of daily surface temperature, precipitation, snowfall, and snow depth. The QA procedures are being applied operationally to the Global Historical Climatology Network (GHCN)-Daily dataset. Since these data are used for analyzing and monitoring variations in extremes, the QA system is designed to detect as many errors as possible while maintaining a low probability of falsely identifying… 

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