Quality Control Tools at the ARM Climate Research Facility Data Quality Office

Justin Monroe University of Oklahoma
Sean Moore Alliant Techsystems, Inc.
Randy Peppler University of Oklahoma
Kenneth Kehoe University of Oklahoma

Category: Infrastructure & Outreach

Working Group: Cloud Life Cycle

The ARM Climate Research Facility Data Quality (DQ) Office develops and utilizes a wide range of tools and analysis methods to support the needs of the Atmospheric System Research (ASR) Program. Now in our tenth year of operation, we ensure that data users receive the highest possible level of research-quality data. Some of these tools include Data Quality Health and Status (DQ HandS) to provide diagnostic data plots and quality- control (QC) metrics; NCVweb to allow users to interactively inspect and plot NetCDF files; and ARM*STAR to generate longer time-series plots and statistics. Of these tools, DQ HandS facilitates the majority of routine DQ Office analyses by automatically processing over 5,000 measurements and creating roughly 3,000 plots per day. Due to this exceptional volume of data, the DQ Office constantly researches different methods to better streamline the QC process. A vital component of this research is collaboration with ARM instrument mentors and other members of the ASR scientific community. Recent collaborations have led to the development of products that enable the DQ Office to detect irregularities with the millimeter wavelength cloud radar, compute liquid and vapor retrievals from the G-Band vapor radiometer, and transform infrared sky temperatures from the atmospheric emitted radiance interferometer. Examples of these newer products will be shown.

This poster will be displayed at ASR Science Team Meeting.

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