Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm

The processes responsible for methane (CH4) emissions from boreal wetlands are complex; hence, their model representation is complicated by a large number of parameters and parameter uncertainties. The arctic-enabled dynamic global vegetation model LPJ-GUESS (Lund–Potsdam–Jena General Ecosystem Simu...

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Bibliographic Details
Published in:Geoscientific Model Development
Main Authors: Kallingal, Jalisha T., Lindström, Johan, Miller, Paul A., Rinne, Janne, Raivonen, Maarit, Scholze, Marko
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2024
Subjects:
article
Verlagsveröffentlichung
Arctic
Hastings
Online Access:https://doi.org/10.5194/gmd-17-2299-2024
https://noa.gwlb.de/receive/cop_mods_00072435
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00070649/gmd-17-2299-2024.pdf
https://gmd.copernicus.org/articles/17/2299/2024/gmd-17-2299-2024.pdf

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