Article ID Journal Published Year Pages File Type
11017518 Environmental Modelling & Software 2019 17 Pages PDF
Abstract
We demonstrate the advantages of this framework by using rLPJGUESS to perform several otherwise laborious tasks: first, a set of single simulations, followed by global and local sensitivity analyses, a Bayesian calibration with a Markov-Chain Monte Carlo (MCMC) algorithm, and a predictive simulation with multiple climate scenarios. Our example highlights the opportunities of interfacing existing models in earth and environmental sciences with state-of-the-art computing environments such as R.
Related Topics
Physical Sciences and Engineering Computer Science Software
Authors
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