Articles | Volume 11, issue 3
https://doi.org/10.5194/gmd-11-1199-2018
© Author(s) 2018. 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-11-1199-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model evaluation paper
| 
29 Mar 2018
Model evaluation paper |
| 29 Mar 2018
Calibrating the sqHIMMELI v1.0 wetland methane emission model with hierarchical modeling and adaptive MCMC
Jouni Susiluoto
CORRESPONDING AUTHOR
Climate research, Finnish Meteorological Institute, P.O. Box 503, Helsinki, Finland
Lappeenranta University of Technology, School of Science, Lappeenranta, Finland
University of Helsinki, Department of Mathematics and Statistics, Helsinki, Finland
Maarit Raivonen
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Leif Backman
Climate research, Finnish Meteorological Institute, P.O. Box 503, Helsinki, Finland
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Marko Laine
Climate research, Finnish Meteorological Institute, P.O. Box 503, Helsinki, Finland
Jarmo Makela
Climate research, Finnish Meteorological Institute, P.O. Box 503, Helsinki, Finland
University of Helsinki, Department of Mathematics and Statistics, Helsinki, Finland
Olli Peltola
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Timo Vesala
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Institute for Atmospheric and Earth System Research/Forest Sciences, Faculty of Agriculture and
Forestry,
University of Helsinki, Helsinki, Finland
Tuula Aalto
Climate research, Finnish Meteorological Institute, P.O. Box 503, Helsinki, Finland
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16 citations as recorded by crossref.
- Environmental controls on methane fluxes in a cool temperate bog M. Ueyama et al. 10.1016/j.agrformet.2019.107852
- Validation Metrics for Fixed Effects and Mixed-Effects Calibration N. Porter et al. 10.1115/1.4049534
- Assessing modelled methane emissions over northern wetlands by the JULES-HIMMELI model Y. Gao et al. 10.1016/j.scitotenv.2025.179526
- Modeled production, oxidation, and transport processes of wetland methane emissions in temperate, boreal, and Arctic regions M. Ueyama et al. 10.1111/gcb.16594
- Partitioning methane flux by the eddy covariance method in a cool temperate bog based on a Bayesian framework M. UEYAMA et al. 10.1016/j.agrformet.2022.108852
- Constraining models for methane oxidation based on long-term continuous chamber measurements in a temperate forest soil M. Ueyama et al. 10.1016/j.agrformet.2021.108654
- Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions M. Tenkanen et al. 10.3390/rs16010124
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
- Studies of arctic–boreal ecosystem function and biogeochemical cycles in the ArCS II terrestrial program H. Kobayashi et al. 10.1016/j.polar.2025.101164
- Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm J. Kallingal et al. 10.5194/gmd-17-2299-2024
- Predicting CO2 and CH4 fluxes and their seasonal variations in a subarctic wetland under two shared socioeconomic pathway climate scenarios B. Zhao et al. 10.1016/j.agrformet.2024.110359
- Sustainable Development of Leisure Tourism Agriculture in Guangzhou Based on Data Hierarchical Modeling N. Wang et al. 10.1088/1742-6596/1881/3/032031
- Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data–model fusion S. Ma et al. 10.5194/bg-19-2245-2022
- HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands M. Raivonen et al. 10.5194/gmd-10-4665-2017
- Technical note: Comparison of methane ebullition modelling approaches used in terrestrial wetland models O. Peltola et al. 10.5194/bg-15-937-2018
14 citations as recorded by crossref.
- Environmental controls on methane fluxes in a cool temperate bog M. Ueyama et al. 10.1016/j.agrformet.2019.107852
- Validation Metrics for Fixed Effects and Mixed-Effects Calibration N. Porter et al. 10.1115/1.4049534
- Assessing modelled methane emissions over northern wetlands by the JULES-HIMMELI model Y. Gao et al. 10.1016/j.scitotenv.2025.179526
- Modeled production, oxidation, and transport processes of wetland methane emissions in temperate, boreal, and Arctic regions M. Ueyama et al. 10.1111/gcb.16594
- Partitioning methane flux by the eddy covariance method in a cool temperate bog based on a Bayesian framework M. UEYAMA et al. 10.1016/j.agrformet.2022.108852
- Constraining models for methane oxidation based on long-term continuous chamber measurements in a temperate forest soil M. Ueyama et al. 10.1016/j.agrformet.2021.108654
- Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions M. Tenkanen et al. 10.3390/rs16010124
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
- Studies of arctic–boreal ecosystem function and biogeochemical cycles in the ArCS II terrestrial program H. Kobayashi et al. 10.1016/j.polar.2025.101164
- Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm J. Kallingal et al. 10.5194/gmd-17-2299-2024
- Predicting CO2 and CH4 fluxes and their seasonal variations in a subarctic wetland under two shared socioeconomic pathway climate scenarios B. Zhao et al. 10.1016/j.agrformet.2024.110359
- Sustainable Development of Leisure Tourism Agriculture in Guangzhou Based on Data Hierarchical Modeling N. Wang et al. 10.1088/1742-6596/1881/3/032031
- Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data–model fusion S. Ma et al. 10.5194/bg-19-2245-2022
2 citations as recorded by crossref.
Latest update: 30 May 2025
Short summary
Methane is an important greenhouse gas and methane emissions from wetlands contribute to the warming of the climate. Wetland methane emissions are also challenging to estimate. We analyze the performance of a new wetland emission computer model utilizing mathematical methods and using data from a wetland in southern Finland. The analysis helps to explain how wetlands produce methane and how emission modeling can be improved and uncertainties in the emission estimates reduced in future studies.
Methane is an important greenhouse gas and methane emissions from wetlands contribute to the...
