Statistical properties of random CO2 flux measurement uncertainty inferred from model residuals

By Andrew D. Richardson, Miguel D. Mahecha, E. Falge, Jens Kattge, A. Moffat, Dario Papale, Markus Reichstein, V. Stauch, B. Braswell, G. Churkina and 2 more. 2008

164 citations recorded by the source corpus.

Subfields: Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/0b8331b97c951b12f4f8b763d2071f4053b01441

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In Global and Planetary Change

Citations in the corpus

Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval (2008, result): “For longer-time integrals flux errors tend to become more Gaussian [Richardson et al., 2008] which is consistent with the central limit theorem.”
Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes (2007, background): “The variance of the difference between model results (artificial gaps) and data (observed flux) provide an estimate of the random uncertainty in the data; in fact in the theoretical case of a perfect model, the residuals between the model and data would fully characterize this uncertainty (e.g., Sta”
The REFLEX project: Comparing different algorithms and implementations for the inversion of a terrestrial ecosystem model against eddy covariance data (2009, background): “However, these data are associated with uncertainties and complications (Lasslop et al., 2008; Richardson et al., 2008).”
Multi‐model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging (2016, background): “However, the Cauchy distribution may not be appropriate for model-data fusion, because its first four moments are undefined (Richardson et al., 2008).”
A conceptual and practical approach to data quality and analysis procedures for high‐frequency soil respiration measurements (2008, methodology): “Following procedures proposed by Hollinger & Richardson (2005), a 'paired observations' approach was used to infer the statistical”
A new methodology to interpret high resolution measurements of net carbon fluxes between terrestrial ecosystems and the atmosphere (2012, methodology): “The SDev of the model residuals can then be used to give an estimate of the uncertainty (random error) in the flux measurements (Richardson et al., 2008).”