Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1633-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-1633-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
25 Feb 2022
Development and technical paper |
| 25 Feb 2022
| 25 Feb 2022
A new approach to simulate peat accumulation, degradation and stability in a global land surface scheme (JULES vn5.8_accumulate_soil) for northern and temperate peatlands
Sarah E. Chadburn
CORRESPONDING AUTHOR
Department of Mathematics, University of Exeter, Exeter, UK
Eleanor J. Burke
Met Office Hadley Centre, Exeter, UK
Angela V. Gallego-Sala
Geography Department, University of Exeter, Exeter, UK
Noah D. Smith
Department of Mathematics, University of Exeter, Exeter, UK
M. Syndonia Bret-Harte
Institute of Arctic Biology, University of Alaska, Fairbanks, USA
Dan J. Charman
Geography Department, University of Exeter, Exeter, UK
Julia Drewer
UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Scotland, UK
Colin W. Edgar
Institute of Arctic Biology, University of Alaska, Fairbanks, USA
Eugenie S. Euskirchen
Institute of Arctic Biology, University of Alaska, Fairbanks, USA
Krzysztof Fortuniak
Department of Meteorology and Climatology, University of Łódź, Łódź, Poland
Finnish Meteorological Institute, Helsinki, Finland
Mahdi Nakhavali
Geography Department, University of Exeter, Exeter, UK
Włodzimierz Pawlak
Department of Meteorology and Climatology, University of Łódź, Łódź, Poland
Edward A. G. Schuur
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, USA
Sebastian Westermann
Department of Geosciences, University of Oslo, Oslo, Norway
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Cited
12 citations as recorded by crossref.
- Modelling of Some Physical-Chemical Parameters of the Bikoro Peat Bogs in the Congo Basin in the North-West of the Democratic Republic of Congo F. Onzeli et al. 10.11648/j.es.20240903.11
- Saturated Hydraulic Conductivity in Northern Peats Inferred From Other Measurements P. Morris et al. 10.1029/2022WR033181
- Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography) N. Smith et al. 10.5194/gmd-15-3603-2022
- Simulating Increased Permafrost Peatland Plant Productivity in Response to Belowground Fertilisation Using the JULES Land Surface Model R. Vitali et al. 10.3390/nitrogen3020018
- INFERNO-peat v1.0.0: a representation of northern high-latitude peat fires in the JULES-INFERNO global fire model K. Blackford et al. 10.5194/gmd-17-3063-2024
- Evaluation of soil carbon simulation in CMIP6 Earth system models R. Varney et al. 10.5194/bg-19-4671-2022
- We Must Stop Fossil Fuel Emissions to Protect Permafrost Ecosystems B. Abbott et al. 10.3389/fenvs.2022.889428
- A comprehensive evaluation of hydrological processes in a second‐generation dynamic vegetation model H. Zhou et al. 10.1002/hyp.15152
- Comparing assumptions and applications of dynamic vegetation models used in the Arctic-Boreal zone of Alaska and Canada E. Heffernan et al. 10.1088/1748-9326/ad6619
- Simulating net ecosystem exchange under seasonal snow cover at an Arctic tundra site V. Dutch et al. 10.5194/bg-21-825-2024
- Modelling boreal forest's mineral soil and peat C dynamics with the Yasso07 model coupled with the Ricker moisture modifier B. Ťupek et al. 10.5194/gmd-17-5349-2024
- A new approach to simulate peat accumulation, degradation and stability in a global land surface scheme (JULES vn5.8_accumulate_soil) for northern and temperate peatlands S. Chadburn et al. 10.5194/gmd-15-1633-2022
11 citations as recorded by crossref.
- Modelling of Some Physical-Chemical Parameters of the Bikoro Peat Bogs in the Congo Basin in the North-West of the Democratic Republic of Congo F. Onzeli et al. 10.11648/j.es.20240903.11
- Saturated Hydraulic Conductivity in Northern Peats Inferred From Other Measurements P. Morris et al. 10.1029/2022WR033181
- Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography) N. Smith et al. 10.5194/gmd-15-3603-2022
- Simulating Increased Permafrost Peatland Plant Productivity in Response to Belowground Fertilisation Using the JULES Land Surface Model R. Vitali et al. 10.3390/nitrogen3020018
- INFERNO-peat v1.0.0: a representation of northern high-latitude peat fires in the JULES-INFERNO global fire model K. Blackford et al. 10.5194/gmd-17-3063-2024
- Evaluation of soil carbon simulation in CMIP6 Earth system models R. Varney et al. 10.5194/bg-19-4671-2022
- We Must Stop Fossil Fuel Emissions to Protect Permafrost Ecosystems B. Abbott et al. 10.3389/fenvs.2022.889428
- A comprehensive evaluation of hydrological processes in a second‐generation dynamic vegetation model H. Zhou et al. 10.1002/hyp.15152
- Comparing assumptions and applications of dynamic vegetation models used in the Arctic-Boreal zone of Alaska and Canada E. Heffernan et al. 10.1088/1748-9326/ad6619
- Simulating net ecosystem exchange under seasonal snow cover at an Arctic tundra site V. Dutch et al. 10.5194/bg-21-825-2024
- Modelling boreal forest's mineral soil and peat C dynamics with the Yasso07 model coupled with the Ricker moisture modifier B. Ťupek et al. 10.5194/gmd-17-5349-2024
Latest update: 18 Nov 2024
Short summary
We present a new method to include peatlands in an Earth system model (ESM). Peatlands store huge amounts of carbon that accumulates very slowly but that can be rapidly destabilised, emitting greenhouse gases. Our model captures the dynamic nature of peat by simulating the change in surface height and physical properties of the soil as carbon is added or decomposed. Thus, we model, for the first time in an ESM, peat dynamics and its threshold behaviours that can lead to destabilisation.
We present a new method to include peatlands in an Earth system model (ESM). Peatlands store...
