An improved representation of physical permafrost dynamics in the JULES land-surface model

International audience It is important to correctly simulate permafrost in global climate models, since the stored carbon represents the source of a potentially important climate feedback. This carbon feedback depends on the physical state of the permafrost. We have therefore included improved physi...

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Published in:Geoscientific Model Development
Main Authors: Chadburn, S., Burke, E., Essery, R., Boike, J., Langer, M., Heikenfeld, M., Cox, P., Friedlingstein, P.
Other Authors: Exeter Climate Systems, College of Engineering, Mathematics and Physical Science, University of Exeter, Exeter, United Kingdom, Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office Exeter, Grant Institute, The King’s Buildings, James Hutton Road, Edinburgh EH9 3FE, UK, Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS), University of Oxford Oxford
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2015
Subjects:
Online Access:https://hal-insu.archives-ouvertes.fr/insu-01205181
https://hal-insu.archives-ouvertes.fr/insu-01205181/document
https://hal-insu.archives-ouvertes.fr/insu-01205181/file/GEOSCIENTIFIC%20MODEL%20DEVELOPMENT%20-%20%20An%20improved%20representation%20of%20physical%20permafrost%20dynamics%20in%20the%20JULES%20land-surface%20model.pdf
https://doi.org/10.5194/gmd-8-1493-2015
id ftccsdartic:oai:HAL:insu-01205181v1
record_format openpolar
institution Open Polar
collection Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
op_collection_id ftccsdartic
language English
topic [SDE]Environmental Sciences
spellingShingle [SDE]Environmental Sciences
Chadburn, S.
Burke, E.
Essery, R.
Boike, J.
Langer, M.
Heikenfeld, M.
Cox, P.
Friedlingstein, P.
An improved representation of physical permafrost dynamics in the JULES land-surface model
topic_facet [SDE]Environmental Sciences
description International audience It is important to correctly simulate permafrost in global climate models, since the stored carbon represents the source of a potentially important climate feedback. This carbon feedback depends on the physical state of the permafrost. We have therefore included improved physical permafrost processes in JULES (Joint UK Land Environment Simulator), which is the land-surface scheme used in the Hadley Centre climate models. The thermal and hydraulic properties of the soil were modified to account for the presence of organic matter, and the insulating effects of a surface layer of moss were added, allowing for fractional moss cover. These processes are particularly relevant in permafrost zones. We also simulate a higher-resolution soil column and deeper soil, and include an additional thermal column at the base of the soil to represent bedrock. In addition, the snow scheme was improved to allow it to run with arbitrarily thin layers. Point-site simulations at Samoylov Island, Siberia, show that the model is now able to simulate soil temperatures and thaw depth much closer to the observations. The root mean square error for the near-surface soil temperatures reduces by approximately 30%, and the active layer thickness is reduced from being over 1 m too deep to within 0.1 m of the observed active layer thickness. All of the model improvements contribute to improving the simulations, with organic matter having the single greatest impact. A new method is used to estimate active layer depth more accurately using the fraction of unfrozen water. Soil hydrology and snow are investigated further by holding the soil moisture fixed and adjusting the parameters to make the soil moisture and snow density match better with observations. The root mean square error in near-surface soil temperatures is reduced by a further 20% as a result.
author2 Exeter Climate Systems, College of Engineering, Mathematics and Physical Science, University of Exeter, Exeter, United Kingdom
Met Office Hadley Centre for Climate Change (MOHC)
United Kingdom Met Office Exeter
Grant Institute, The King’s Buildings, James Hutton Road, Edinburgh EH9 3FE, UK
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI)
Laboratoire de glaciologie et géophysique de l'environnement (LGGE)
Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG)
Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)
University of Oxford Oxford
format Article in Journal/Newspaper
author Chadburn, S.
Burke, E.
Essery, R.
Boike, J.
Langer, M.
Heikenfeld, M.
Cox, P.
Friedlingstein, P.
author_facet Chadburn, S.
Burke, E.
Essery, R.
Boike, J.
Langer, M.
Heikenfeld, M.
Cox, P.
Friedlingstein, P.
author_sort Chadburn, S.
title An improved representation of physical permafrost dynamics in the JULES land-surface model
title_short An improved representation of physical permafrost dynamics in the JULES land-surface model
title_full An improved representation of physical permafrost dynamics in the JULES land-surface model
title_fullStr An improved representation of physical permafrost dynamics in the JULES land-surface model
title_full_unstemmed An improved representation of physical permafrost dynamics in the JULES land-surface model
title_sort improved representation of physical permafrost dynamics in the jules land-surface model
publisher HAL CCSD
publishDate 2015
url https://hal-insu.archives-ouvertes.fr/insu-01205181
https://hal-insu.archives-ouvertes.fr/insu-01205181/document
https://hal-insu.archives-ouvertes.fr/insu-01205181/file/GEOSCIENTIFIC%20MODEL%20DEVELOPMENT%20-%20%20An%20improved%20representation%20of%20physical%20permafrost%20dynamics%20in%20the%20JULES%20land-surface%20model.pdf
https://doi.org/10.5194/gmd-8-1493-2015
long_lat ENVELOPE(140.917,140.917,-66.742,-66.742)
geographic Jules
geographic_facet Jules
genre Active layer thickness
permafrost
Siberia
genre_facet Active layer thickness
permafrost
Siberia
op_source ISSN: 1991-959X
Geoscientific Model Development
https://hal-insu.archives-ouvertes.fr/insu-01205181
Geoscientific Model Development, European Geosciences Union, 2015, 8 (5), pp.1493-1508. ⟨10.5194/gmd-8-1493-2015⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-8-1493-2015
insu-01205181
https://hal-insu.archives-ouvertes.fr/insu-01205181
https://hal-insu.archives-ouvertes.fr/insu-01205181/document
https://hal-insu.archives-ouvertes.fr/insu-01205181/file/GEOSCIENTIFIC%20MODEL%20DEVELOPMENT%20-%20%20An%20improved%20representation%20of%20physical%20permafrost%20dynamics%20in%20the%20JULES%20land-surface%20model.pdf
doi:10.5194/gmd-8-1493-2015
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op_doi https://doi.org/10.5194/gmd-8-1493-2015
container_title Geoscientific Model Development
container_volume 8
container_issue 5
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spelling ftccsdartic:oai:HAL:insu-01205181v1 2023-05-15T13:03:06+02:00 An improved representation of physical permafrost dynamics in the JULES land-surface model Chadburn, S. Burke, E. Essery, R. Boike, J. Langer, M. Heikenfeld, M. Cox, P. Friedlingstein, P. Exeter Climate Systems, College of Engineering, Mathematics and Physical Science, University of Exeter, Exeter, United Kingdom Met Office Hadley Centre for Climate Change (MOHC) United Kingdom Met Office Exeter Grant Institute, The King’s Buildings, James Hutton Road, Edinburgh EH9 3FE, UK Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI) Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS) University of Oxford Oxford 2015-05 https://hal-insu.archives-ouvertes.fr/insu-01205181 https://hal-insu.archives-ouvertes.fr/insu-01205181/document https://hal-insu.archives-ouvertes.fr/insu-01205181/file/GEOSCIENTIFIC%20MODEL%20DEVELOPMENT%20-%20%20An%20improved%20representation%20of%20physical%20permafrost%20dynamics%20in%20the%20JULES%20land-surface%20model.pdf https://doi.org/10.5194/gmd-8-1493-2015 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-8-1493-2015 insu-01205181 https://hal-insu.archives-ouvertes.fr/insu-01205181 https://hal-insu.archives-ouvertes.fr/insu-01205181/document https://hal-insu.archives-ouvertes.fr/insu-01205181/file/GEOSCIENTIFIC%20MODEL%20DEVELOPMENT%20-%20%20An%20improved%20representation%20of%20physical%20permafrost%20dynamics%20in%20the%20JULES%20land-surface%20model.pdf doi:10.5194/gmd-8-1493-2015 info:eu-repo/semantics/OpenAccess ISSN: 1991-959X Geoscientific Model Development https://hal-insu.archives-ouvertes.fr/insu-01205181 Geoscientific Model Development, European Geosciences Union, 2015, 8 (5), pp.1493-1508. ⟨10.5194/gmd-8-1493-2015⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2015 ftccsdartic https://doi.org/10.5194/gmd-8-1493-2015 2021-11-21T03:03:29Z International audience It is important to correctly simulate permafrost in global climate models, since the stored carbon represents the source of a potentially important climate feedback. This carbon feedback depends on the physical state of the permafrost. We have therefore included improved physical permafrost processes in JULES (Joint UK Land Environment Simulator), which is the land-surface scheme used in the Hadley Centre climate models. The thermal and hydraulic properties of the soil were modified to account for the presence of organic matter, and the insulating effects of a surface layer of moss were added, allowing for fractional moss cover. These processes are particularly relevant in permafrost zones. We also simulate a higher-resolution soil column and deeper soil, and include an additional thermal column at the base of the soil to represent bedrock. In addition, the snow scheme was improved to allow it to run with arbitrarily thin layers. Point-site simulations at Samoylov Island, Siberia, show that the model is now able to simulate soil temperatures and thaw depth much closer to the observations. The root mean square error for the near-surface soil temperatures reduces by approximately 30%, and the active layer thickness is reduced from being over 1 m too deep to within 0.1 m of the observed active layer thickness. All of the model improvements contribute to improving the simulations, with organic matter having the single greatest impact. A new method is used to estimate active layer depth more accurately using the fraction of unfrozen water. Soil hydrology and snow are investigated further by holding the soil moisture fixed and adjusting the parameters to make the soil moisture and snow density match better with observations. The root mean square error in near-surface soil temperatures is reduced by a further 20% as a result. Article in Journal/Newspaper Active layer thickness permafrost Siberia Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Jules ENVELOPE(140.917,140.917,-66.742,-66.742) Geoscientific Model Development 8 5 1493 1508