Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output

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Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output

Parameters of a process-based forest growth simulator are difficult or impossible to obtain from field observations. Reliable estimates can be obtained using calibration against observations of output and state variables. In this study, we present a Bayesian framework to calibrate the widely used pr...

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Bibliographic Details
Main Authors:	Raj, Rahul, Tol, Christiaan van der, Hamm, Nicholas A.S, Stein, Alfred
Format:	Article
Published:	European Geosciences Union 2018
Online Access:	https://eprints.nottingham.ac.uk/53022/

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