Articles | Volume 9, issue 12
https://doi.org/10.5194/gmd-9-4313-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-4313-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model evaluation paper
| 
05 Dec 2016
Model evaluation paper |
| 05 Dec 2016
Parameter interactions and sensitivity analysis for modelling carbon heat and water fluxes in a natural peatland, using CoupModel v5
Department of Land and Water Resources Engineering, Royal Institute of Technology, Stockholm, 100 44, Sweden
now at: Institute for Meteorology and Climate Research/Atmospheric Environmental Research (IMK-IFU),
Karlsruhe Institute for Technology, 82467 Garmisch-Partenkirchen, Germany
Mats B. Nilsson
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, 901 83, Sweden
Matthias Peichl
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, 901 83, Sweden
Per-Erik Jansson
Department of Land and Water Resources Engineering, Royal Institute of Technology, Stockholm, 100 44, Sweden
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Cited
15 citations as recorded by crossref.
- Modeling China's terrestrial ecosystem gross primary productivity with BEPS model: Parameter sensitivity analysis and model calibration X. Xing et al. 10.1016/j.agrformet.2023.109789
- Bimodal diel pattern in peatland ecosystem respiration rebuts uniform temperature response J. Järveoja et al. 10.1038/s41467-020-18027-1
- Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost R. Sheikholeslami et al. 10.1016/j.envsoft.2018.09.002
- Global parameters sensitivity analysis of modeling water, energy and carbon exchange of an arid agricultural ecosystem M. Wu et al. 10.1016/j.agrformet.2019.03.007
- What should we do when a model crashes? Recommendations for global sensitivity analysis of Earth and environmental systems models R. Sheikholeslami et al. 10.5194/gmd-12-4275-2019
- The Kulbäcksliden Research Infrastructure: a unique setting for northern peatland studies K. Noumonvi et al. 10.3389/feart.2023.1194749
- Peatland vegetation composition and phenology drive the seasonal trajectory of maximum gross primary production M. Peichl et al. 10.1038/s41598-018-26147-4
- Evaluation of denitrification and decomposition from three biogeochemical models using laboratory measurements of N<sub>2</sub>, N<sub>2</sub>O and CO<sub>2</sub> B. Grosz et al. 10.5194/bg-18-5681-2021
- Model-data fusion to assess year-round CO2 fluxes for an arctic heath ecosystem in West Greenland (69°N) W. Zhang et al. 10.1016/j.agrformet.2019.02.021
- Modelling water and energy fluxes with an explicit representation of irrigation under mulch in a maize field C. Wang et al. 10.1016/j.agrformet.2022.109145
- Simulation of dynamical interactions between soil freezing/thawing and salinization for improving water management in cold/arid agricultural region M. Wu et al. 10.1016/j.geoderma.2018.12.022
- Evaluation of soil-vegetation interaction effects on water fluxes revealed by the proxy of model parameter combinations T. Lotz et al. 10.1007/s10661-022-10901-3
- What conditions favor the influence of seasonally frozen ground on hydrological partitioning? A systematic review P. Ala-Aho et al. 10.1088/1748-9326/abe82c
- Sensitivity and Uncertainty of a Long‐Term, High‐Resolution, Global, Terrestrial Sensible Heat Flux Data Set A. Siemann et al. 10.1029/2017JD027785
- Mosses are Important for Soil Carbon Sequestration in Forested Peatlands Å. Kasimir et al. 10.3389/fenvs.2021.680430
15 citations as recorded by crossref.
- Modeling China's terrestrial ecosystem gross primary productivity with BEPS model: Parameter sensitivity analysis and model calibration X. Xing et al. 10.1016/j.agrformet.2023.109789
- Bimodal diel pattern in peatland ecosystem respiration rebuts uniform temperature response J. Järveoja et al. 10.1038/s41467-020-18027-1
- Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost R. Sheikholeslami et al. 10.1016/j.envsoft.2018.09.002
- Global parameters sensitivity analysis of modeling water, energy and carbon exchange of an arid agricultural ecosystem M. Wu et al. 10.1016/j.agrformet.2019.03.007
- What should we do when a model crashes? Recommendations for global sensitivity analysis of Earth and environmental systems models R. Sheikholeslami et al. 10.5194/gmd-12-4275-2019
- The Kulbäcksliden Research Infrastructure: a unique setting for northern peatland studies K. Noumonvi et al. 10.3389/feart.2023.1194749
- Peatland vegetation composition and phenology drive the seasonal trajectory of maximum gross primary production M. Peichl et al. 10.1038/s41598-018-26147-4
- Evaluation of denitrification and decomposition from three biogeochemical models using laboratory measurements of N<sub>2</sub>, N<sub>2</sub>O and CO<sub>2</sub> B. Grosz et al. 10.5194/bg-18-5681-2021
- Model-data fusion to assess year-round CO2 fluxes for an arctic heath ecosystem in West Greenland (69°N) W. Zhang et al. 10.1016/j.agrformet.2019.02.021
- Modelling water and energy fluxes with an explicit representation of irrigation under mulch in a maize field C. Wang et al. 10.1016/j.agrformet.2022.109145
- Simulation of dynamical interactions between soil freezing/thawing and salinization for improving water management in cold/arid agricultural region M. Wu et al. 10.1016/j.geoderma.2018.12.022
- Evaluation of soil-vegetation interaction effects on water fluxes revealed by the proxy of model parameter combinations T. Lotz et al. 10.1007/s10661-022-10901-3
- What conditions favor the influence of seasonally frozen ground on hydrological partitioning? A systematic review P. Ala-Aho et al. 10.1088/1748-9326/abe82c
- Sensitivity and Uncertainty of a Long‐Term, High‐Resolution, Global, Terrestrial Sensible Heat Flux Data Set A. Siemann et al. 10.1029/2017JD027785
- Mosses are Important for Soil Carbon Sequestration in Forested Peatlands Å. Kasimir et al. 10.3389/fenvs.2021.680430
Latest update: 18 Apr 2024
Short summary
Many interactions between various abiotic and biotic processes and their parameters were identified by global sensitivity analysis, revealing strong dependence of a certain model output (e.g. CO2 or heat fluxes, leaf area index, radiation, water table, soil temperature or snow depth) to model set-up and parameterization in many different processes, a limited transferability of parameter values between models, and the importance of ancillary measurements for improving models and thus predictions.
Many interactions between various abiotic and biotic processes and their parameters were...
