U.S. Department of Agriculture: Forest Service -- National Agroforestry Center
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.