Editorial Type:
Article
Article Type:
Research Article

Quality Assurance Procedures for Mesoscale Meteorological Data

Christopher A. Fiebrich Oklahoma Mesonet, and Oklahoma Climatological Survey, Norman, Oklahoma

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Cynthia R. Morgan Oklahoma Mesonet, and Oklahoma Climatological Survey, Norman, Oklahoma

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Alexandria G. McCombs Oklahoma Mesonet, and Oklahoma Climatological Survey, Norman, Oklahoma

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Peter K. Hall Jr. Iberdrola Renewables, Portland, Oregon

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Renee A. McPherson Oklahoma Mesonet, and Oklahoma Climatological Survey, Norman, Oklahoma

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Print Publication:
01 Oct 2010
DOI:
https://doi.org/10.1175/2010JTECHA1433.1
Page(s):
1565–1582
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Abstract

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.

Corresponding author address: Dr. Christopher A. Fiebrich, Oklahoma Climatological Survey, 120 David L. Boren Blvd., Suite 2900, Norman, OK 73072. Email: fiebrich@ou.edu

Abstract

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.

Corresponding author address: Dr. Christopher A. Fiebrich, Oklahoma Climatological Survey, 120 David L. Boren Blvd., Suite 2900, Norman, OK 73072. Email: fiebrich@ou.edu

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