Publication Details

A multi-site analysis of random error in tower-based measurements of carbon and energy fluxes

Publication Toolbox

  • Download PDF (505903)
  • This publication is available only online.
Richardson, Andrew D.; Hollinger, David Y.; Burba, George G.; Davis, Kenneth J.; Flanagan, Lawrence B.; Katul, Gabriel G.; Munger, J. William; Ricciuto, Daniel M.; Stoy, Paul C.; Suyker, Andrew E.; Verma, Shashi B.; Wofsy, Steven C.; Wofsy, Steven C.

Year Published

2006

Publication

Agricultural and Forest Meteorology. 136: 1-18.

Abstract

Measured surface-atmosphere fluxes of energy (sensible heat, H, and latent heat, LE) and CO2 (FCO2) represent the ``true?? flux plus or minus potential random and systematic measurement errors. Here, we use data from seven sites in the AmeriFlux network, including five forested sites (two of which include ``tall tower?? instrumentation), one grassland site, and one agricultural site, to conduct a cross-site analysis of random flux error. Quantification of this uncertainty is a prerequisite to model-data synthesis (data assimilation) and for defining confidence intervals on annual sums of net ecosystem exchange or making statistically valid comparisons between measurements and model predictions.

Citation

Richardson, Andrew D.; Hollinger, David Y.; Burba, George G.; Davis, Kenneth J.; Flanagan, Lawrence B.; Katul, Gabriel G.; Munger, J. William; Ricciuto, Daniel M.; Stoy, Paul C.; Suyker, Andrew E.; Verma, Shashi B.; Wofsy, Steven C. 2006. A multi-site analysis of random error in tower-based measurements of carbon and energy fluxes. Agricultural and Forest Meteorology. 136: 1-18.

Last updated on: October 18, 2007