Aerosol Observing System Data Quality Monitoring at the ARM Data Quality Office: Current Capabilities and Future Prospects
Poster PDF
Authors
Randy A. Peppler — University of Oklahoma
Sean T. Moore — Orbital ATK Inc.
Kenneth Kehoe — ARM Data Quality Office - University of Oklahoma - CIWRO
Justin Monroe — University of Oklahoma
Joshua Matthew King — University of Oklahoma
Adam Theisen — Argonne National Laboratory
Category
ARM Infrastructure
Description
The ARM Data Quality (DQ) Office has integrated quality assurance monitoring procedures for surface aerosol observations obtained from the ARM Aerosol Observing System (AOS) platform, with assessments beginning in May 2014. Over all ARM sites, the DQ Office currently assesses the quality of data flowing from 40 distinct AOS instrument classes covering 50 AOS datastreams. Procedures designed to facilitate the identification of data quality problems have been developed, and continue to be enhanced, through collaboration between AOS instrument mentors, datastream developers, and DQ Office personnel.
Going forward, the DQ Office aims to build upon these collaborative efforts to facilitate more informed and holistic AOS data quality assessments. The ongoing ARM-wide harmonization of AOS datastreams provides a unique opportunity to engage multiple interest groups, including scientific Working Group members, towards working to meet these data quality monitoring goals. Moreover, AOS educational initiatives within the DQ Office are being developed to provide DQ Office student analysts with a broad surface aerosol measurement knowledge base from which to optimally ensure the flow of research-quality AOS data for end users.
