Quantitative comparison of canopy conductance models using a Bayesian approach

Abstract

[1] A quantitative model comparison methodology based on deviance information criterion, a Bayesian measure of the trade-off between model complexity and goodness of fit, is developed and demonstrated by comparing semiempirical transpiration models. This methodology accounts for parameter and prediction uncertainties associated with such models and… (More)

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@inproceedings{Samanta2008QuantitativeCO, title={Quantitative comparison of canopy conductance models using a Bayesian approach}, author={S. Samanta and Murray K. Clayton and D. S. Mackay and Eric L. Kruger and B. E. Ewers}, year={2008} }