United States Department of Agriculture, Forest Service, National Agroforestry Center
United States Department of Agriculture, Forest Service / University of Nebraska-Lincoln: Faculty Publications
Accessibility Remediation
If you are unable to use this item in its current form due to accessibility barriers, you may request remediation through our remediation request form.
Document Type
Article
Date of this Version
2007
Abstract
The process of quality control of micrometeorological and carbon dioxide (CO2) flux data can be subjective and may lack repeatability, which would undermine the results of many studies. Multivariate statistical methods and time series analysis were used together and independently to detect and replace outliers in CO2 flux data derived from a Bowen ratio energy balance system.
Comments
Published in J. R. Statist. Soc. A (2007) 170, Part 1, pp. 213–230.