Meteorological instrumentation varies widely in the atmospheric science research and operational weather forecasting industry, and the observations from these instruments routinely need to be processed through quality control and quality assurance procedures. However, these procedures can be different for the same instrumentation depending on individual research groups or weather agencies requirements. This session aims to allow researchers and weather industry groups to share their quality control procedures in an effort to improve data quality within the atmospheric science and meteorology-related fields. Topics include quality control methods and techniques, quality assurance procedures, real-time automated quality control algorithms, and quality control methods for large datasets.