Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site-level model calibration

Journal of Advances in Modeling Earth Systems, 2017 International audience The ORCHIDEE land surface model has recently been updated to improve the representation of high-latitude environments. The model now includes improved soil thermodynamics and the representation of permafrost physical processe...

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Published in:Journal of Advances in Modeling Earth Systems
Main Authors: Dantec-Nédélec, Sarah, Ottlé, Catherine, Tao, Wang, Guglielmo, F., Maignan, Fabienne, Delbart, Nicolas, Valdayskikh, V., Radchenko, T., Nekrasova, O., Jouzel, Jean
Other Authors: Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-Université Paris-Sorbonne (UP4)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Ural Federal University Ekaterinburg (UrFU), Glaces et Continents, Climats et Isotopes Stables (GLACCIOS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2017
Subjects:
Online Access:https://hal.archives-ouvertes.fr/hal-01568436
https://hal.archives-ouvertes.fr/hal-01568436/document
https://hal.archives-ouvertes.fr/hal-01568436/file/2016MS000860.pdf
https://doi.org/10.1002/2016MS000860
id ftunivnantes:oai:HAL:hal-01568436v1
record_format openpolar
institution Open Polar
collection Université de Nantes: HAL-UNIV-NANTES
op_collection_id ftunivnantes
language English
topic Permafrost physical processes
Soil thermodynamics
Soil temperature
Water content
Siberia
Arctic soils
[SDU]Sciences of the Universe [physics]
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
spellingShingle Permafrost physical processes
Soil thermodynamics
Soil temperature
Water content
Siberia
Arctic soils
[SDU]Sciences of the Universe [physics]
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
Dantec-Nédélec, Sarah
Ottlé, Catherine
Tao, Wang
Guglielmo, F.
Maignan, Fabienne
Delbart, Nicolas
Valdayskikh, V.
Radchenko, T.
Nekrasova, O.
Jouzel, Jean
Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site-level model calibration
topic_facet Permafrost physical processes
Soil thermodynamics
Soil temperature
Water content
Siberia
Arctic soils
[SDU]Sciences of the Universe [physics]
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
description Journal of Advances in Modeling Earth Systems, 2017 International audience The ORCHIDEE land surface model has recently been updated to improve the representation of high-latitude environments. The model now includes improved soil thermodynamics and the representation of permafrost physical processes (soil thawing and freezing), as well as a new snow model to improve the representation of the seasonal evolution of the snow pack and the resulting insulation effects. The model was evaluated against data from the experimental sites of the WSibIso-Megagrant project (www.wsibiso.ru). ORCHIDEE was applied in stand-alone mode, on two experimental sites located in the Yamal Peninsula in the northwestern part of Siberia. These sites are representative of circumpolar-Arctic tundra environments and differ by their respective fractions of shrub/tree cover and soil type. After performing a global sensitivity analysis to identify those parameters that have most influence on the simulation of energy and water transfers, the model was calibrated at local scale and evaluated against in situ measurements (vertical profiles of soil temperature and moisture, as well as active layer thickness) acquired during summer 2012. The results show how sensitivity analysis can identify the dominant processes and thereby reduce the parameter space for the calibration process. We also discuss the model performance at simulating the soil temperature and water content (i.e., energy and water transfers in the soil-vegetationatmosphere continuum) and the contribution of the vertical discretization of the hydrothermal properties. This work clearly shows, at least at the two sites used for validation, that the new ORCHIDEE vertical discretization can represent the water and heat transfers through complex cryogenic Arctic soils-soils which present multiple horizons sometimes with peat inclusions. The improved model allows us to prescribe the vertical heterogeneity of the soil hydrothermal properties.
author2 Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Modélisation des Surfaces et Interfaces Continentales (MOSAIC)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG)
Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-Université Paris-Sorbonne (UP4)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Ural Federal University Ekaterinburg (UrFU)
Glaces et Continents, Climats et Isotopes Stables (GLACCIOS)
format Article in Journal/Newspaper
author Dantec-Nédélec, Sarah
Ottlé, Catherine
Tao, Wang
Guglielmo, F.
Maignan, Fabienne
Delbart, Nicolas
Valdayskikh, V.
Radchenko, T.
Nekrasova, O.
Jouzel, Jean
author_facet Dantec-Nédélec, Sarah
Ottlé, Catherine
Tao, Wang
Guglielmo, F.
Maignan, Fabienne
Delbart, Nicolas
Valdayskikh, V.
Radchenko, T.
Nekrasova, O.
Jouzel, Jean
author_sort Dantec-Nédélec, Sarah
title Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site-level model calibration
title_short Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site-level model calibration
title_full Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site-level model calibration
title_fullStr Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site-level model calibration
title_full_unstemmed Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site-level model calibration
title_sort testing the capability of orchidee land surface model to simulate arctic ecosystems: sensitivity analysis and site-level model calibration
publisher HAL CCSD
publishDate 2017
url https://hal.archives-ouvertes.fr/hal-01568436
https://hal.archives-ouvertes.fr/hal-01568436/document
https://hal.archives-ouvertes.fr/hal-01568436/file/2016MS000860.pdf
https://doi.org/10.1002/2016MS000860
long_lat ENVELOPE(69.873,69.873,70.816,70.816)
geographic Arctic
Yamal Peninsula
geographic_facet Arctic
Yamal Peninsula
genre Active layer thickness
Arctic
permafrost
Tundra
Yamal Peninsula
Siberia
genre_facet Active layer thickness
Arctic
permafrost
Tundra
Yamal Peninsula
Siberia
op_source ISSN: 1942-2466
Journal of Advances in Modeling Earth Systems
https://hal.archives-ouvertes.fr/hal-01568436
Journal of Advances in Modeling Earth Systems, American Geophysical Union, 2017, 9 (2), pp.1212-1230. ⟨10.1002/2016MS000860⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1002/2016MS000860
hal-01568436
https://hal.archives-ouvertes.fr/hal-01568436
https://hal.archives-ouvertes.fr/hal-01568436/document
https://hal.archives-ouvertes.fr/hal-01568436/file/2016MS000860.pdf
doi:10.1002/2016MS000860
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.1002/2016MS000860
container_title Journal of Advances in Modeling Earth Systems
container_volume 9
container_issue 2
container_start_page 1212
op_container_end_page 1230
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spelling ftunivnantes:oai:HAL:hal-01568436v1 2023-05-15T13:03:34+02:00 Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site-level model calibration Dantec-Nédélec, Sarah Ottlé, Catherine Tao, Wang Guglielmo, F. Maignan, Fabienne Delbart, Nicolas Valdayskikh, V. Radchenko, T. Nekrasova, O. Jouzel, Jean Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Modélisation des Surfaces et Interfaces Continentales (MOSAIC) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG) Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-Université Paris-Sorbonne (UP4)-AgroParisTech-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS) Ural Federal University Ekaterinburg (UrFU) Glaces et Continents, Climats et Isotopes Stables (GLACCIOS) 2017-05-08 https://hal.archives-ouvertes.fr/hal-01568436 https://hal.archives-ouvertes.fr/hal-01568436/document https://hal.archives-ouvertes.fr/hal-01568436/file/2016MS000860.pdf https://doi.org/10.1002/2016MS000860 en eng HAL CCSD American Geophysical Union info:eu-repo/semantics/altIdentifier/doi/10.1002/2016MS000860 hal-01568436 https://hal.archives-ouvertes.fr/hal-01568436 https://hal.archives-ouvertes.fr/hal-01568436/document https://hal.archives-ouvertes.fr/hal-01568436/file/2016MS000860.pdf doi:10.1002/2016MS000860 info:eu-repo/semantics/OpenAccess ISSN: 1942-2466 Journal of Advances in Modeling Earth Systems https://hal.archives-ouvertes.fr/hal-01568436 Journal of Advances in Modeling Earth Systems, American Geophysical Union, 2017, 9 (2), pp.1212-1230. ⟨10.1002/2016MS000860⟩ Permafrost physical processes Soil thermodynamics Soil temperature Water content Siberia Arctic soils [SDU]Sciences of the Universe [physics] [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology info:eu-repo/semantics/article Journal articles 2017 ftunivnantes https://doi.org/10.1002/2016MS000860 2022-10-18T23:35:20Z Journal of Advances in Modeling Earth Systems, 2017 International audience The ORCHIDEE land surface model has recently been updated to improve the representation of high-latitude environments. The model now includes improved soil thermodynamics and the representation of permafrost physical processes (soil thawing and freezing), as well as a new snow model to improve the representation of the seasonal evolution of the snow pack and the resulting insulation effects. The model was evaluated against data from the experimental sites of the WSibIso-Megagrant project (www.wsibiso.ru). ORCHIDEE was applied in stand-alone mode, on two experimental sites located in the Yamal Peninsula in the northwestern part of Siberia. These sites are representative of circumpolar-Arctic tundra environments and differ by their respective fractions of shrub/tree cover and soil type. After performing a global sensitivity analysis to identify those parameters that have most influence on the simulation of energy and water transfers, the model was calibrated at local scale and evaluated against in situ measurements (vertical profiles of soil temperature and moisture, as well as active layer thickness) acquired during summer 2012. The results show how sensitivity analysis can identify the dominant processes and thereby reduce the parameter space for the calibration process. We also discuss the model performance at simulating the soil temperature and water content (i.e., energy and water transfers in the soil-vegetationatmosphere continuum) and the contribution of the vertical discretization of the hydrothermal properties. This work clearly shows, at least at the two sites used for validation, that the new ORCHIDEE vertical discretization can represent the water and heat transfers through complex cryogenic Arctic soils-soils which present multiple horizons sometimes with peat inclusions. The improved model allows us to prescribe the vertical heterogeneity of the soil hydrothermal properties. Article in Journal/Newspaper Active layer thickness Arctic permafrost Tundra Yamal Peninsula Siberia Université de Nantes: HAL-UNIV-NANTES Arctic Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) Journal of Advances in Modeling Earth Systems 9 2 1212 1230