Quality Assurance of ARM Program Climate Research Facility Data

Peppler, R. A. ; Kehoe, K. E. ; Sonntag, K. L. ; Bahrmann, C. P. ; Richardson, S. J. ; Christensen, S. W. ; McCord, R. A. ; Doty, D. J. ; Wagener, R. ; Eagan, R. C. ; Lijegren, J. C. ; Orr, B. W. ; Sisterson, D. L. ; Halter, T. D. ; Keck, N. N. ; Long, C. N. ; Macduff, M. C. ; Mather, J. H. ; Perez, R. C. ; Voyles, J. W. ; Ivey, M. D. ; Moore, S. T. ; Nitschke, D. L. ; Perkins, B. D. ; Turner, D. D.

Atmospheric Radiation Measurement Program (U.S.)

关键词: Calibration;    Management;    Reprocessing;    Maintenance;    Data Processing;   

DOI  :  10.2172/948030
RP-ID  :  DOE/SC-ARM/TR-082
RP-ID  :  DE-AC05-76RL01830
RP-ID  :  948030

美国|英语

来源: UNT Digital Library

【 摘 要 】

This report documents key aspects of the Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) data quality assurance program as it existed in 2008. The performance of ACRF instruments, sites, and data systems is measured in terms of the availability, usability, and accessibility of the data to a user. First, the data must be available to users; that is, the data must be collected by instrument systems, processed, and delivered to a central repository in a timely manner. Second, the data must be usable; that is, the data must be inspected and deemed of sufficient quality for scientific research purposes, and data users must be able to readily tell where there are known problems in the data. Finally, the data must be accessible; that is, data users must be able to easily find, obtain, and work with the data from the central repository. The processes described in this report include instrument deployment and calibration; instrument and facility maintenance; data collection and processing infrastructure; data stream inspection and assessment; the roles of value-added data processing and field campaigns in specifying data quality and haracterizing the basic measurement; data archival, display, and distribution; data stream reprocessing; and engineering and operations management processes and procedures. Future directions in ACRF data quality assurance also are presented.