Kallingal, J. T., Lindström, J., Miller, P. A., Rinne, J., Raivonen, M., Scholze, M., . . . Lund University, F. o. S. (2024). Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm. Geoscientific Model Development Predict with Confidence: Application of a Bayesian-Based Assimilation Framework to Optimise Wetland CH4 Emissions from a Terrestrial Ecosystem, 17(6), 2299. https://doi.org/10.5194/gmd-17-2299-2024
Chicago-referens (17:e uppl.)Kallingal, Jalisha T., et al. "Optimising CH4 Simulations from the LPJ-GUESS Model V4.1 Using an Adaptive Markov Chain Monte Carlo Algorithm." Geoscientific Model Development Predict with Confidence: Application of a Bayesian-Based Assimilation Framework to Optimise Wetland CH4 Emissions from a Terrestrial Ecosystem 17, no. 6 (2024): 2299. https://doi.org/10.5194/gmd-17-2299-2024.
MLA-referens (9:e uppl.)Kallingal, Jalisha T., et al. "Optimising CH4 Simulations from the LPJ-GUESS Model V4.1 Using an Adaptive Markov Chain Monte Carlo Algorithm." Geoscientific Model Development Predict with Confidence: Application of a Bayesian-Based Assimilation Framework to Optimise Wetland CH4 Emissions from a Terrestrial Ecosystem, vol. 17, no. 6, 2024, p. 2299, https://doi.org/10.5194/gmd-17-2299-2024.
