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 use...

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Bibliographic Details
Main Authors: R. Raj, C. van der Tol, N. A. S. Hamm, A. Stein
Format: Article
Language:English
Published: Copernicus Publications 2018-01-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/11/83/2018/gmd-11-83-2018.pdf