Open AccessQuality Assurance Procedures for Mesoscale Meteorological Data
Author(s) -
Christopher A. Fiebrich,
Cynthia R. Morgan,
Alexandria G. McCombs,
Peter Hall,
Renee A. McPherson
Publication year - 2010
Publication title -
journal of atmospheric and oceanic technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.774
H-Index - 124
eISSN - 1520-0426
pISSN - 0739-0572
DOI - 10.1175/2010jtecha1433.1
Subject(s) - quality assurance , mesoscale meteorology , computer science , quality (philosophy) , process (computing) , meteorology , operations management , engineering , geography , epistemology , operating system , philosophy , external quality assessment
Mesoscale meteorological data present their own challenges and advantages during the quality assurance (QA) process because of their variability in both space and time. To ensure data quality, it is important to perform quality control at many different stages (e.g., sensor calibrations, automated tests, and manual assessment). As part of an ongoing refinement of quality assurance procedures, meteorologists with the Oklahoma Mesonet continually review advancements and techniques employed by other networks. This article’s aim is to share those reviews and resources with scientists beginning or enhancing their own QA program. General QA considerations, general automated tests, and variable-specific tests and methods are discussed.