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...
Published in: | Journal of Advances in Modeling Earth Systems |
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Main Authors: | , , , , , , , , , |
Other Authors: | , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2017
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Online Access: | https://hal.science/hal-01568436 https://hal.science/hal-01568436/document https://hal.science/hal-01568436/file/2016MS000860.pdf https://doi.org/10.1002/2016MS000860 |
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ftuniversailles:oai:HAL:hal-01568436v1 |
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record_format |
openpolar |
institution |
Open Polar |
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Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ |
op_collection_id |
ftuniversailles |
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 Ottle, 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)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Modélisation des Surfaces et Interfaces Continentales (MOSAIC) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) 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) ANR-10-CEPL-0012,CLASSIQUE,CLimat, Agriculture et Société SIbérienne - QUElle Evolution ?(2010) |
format |
Article in Journal/Newspaper |
author |
Dantec-Nédélec, Sarah Ottle, Catherine Tao, Wang Guglielmo, F. Maignan, Fabienne Delbart, Nicolas Valdayskikh, V. Radchenko, T. Nekrasova, O. Jouzel, Jean |
author_facet |
Dantec-Nédélec, Sarah Ottle, 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.science/hal-01568436 https://hal.science/hal-01568436/document https://hal.science/hal-01568436/file/2016MS000860.pdf https://doi.org/10.1002/2016MS000860 |
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.science/hal-01568436 Journal of Advances in Modeling Earth Systems, 2017, 9 (2), pp.1212-1230. ⟨10.1002/2016MS000860⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1002/2016MS000860 hal-01568436 https://hal.science/hal-01568436 https://hal.science/hal-01568436/document https://hal.science/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 |
_version_ |
1797589431912235008 |
spelling |
ftuniversailles:oai:HAL:hal-01568436v1 2024-04-28T07:53:18+00:00 Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site-level model calibration Dantec-Nédélec, Sarah Ottle, 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)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Modélisation des Surfaces et Interfaces Continentales (MOSAIC) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) 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) ANR-10-CEPL-0012,CLASSIQUE,CLimat, Agriculture et Société SIbérienne - QUElle Evolution ?(2010) 2017-05-08 https://hal.science/hal-01568436 https://hal.science/hal-01568436/document https://hal.science/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.science/hal-01568436 https://hal.science/hal-01568436/document https://hal.science/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.science/hal-01568436 Journal of Advances in Modeling Earth Systems, 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 ftuniversailles https://doi.org/10.1002/2016MS000860 2024-04-11T00:03:41Z 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 Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ Journal of Advances in Modeling Earth Systems 9 2 1212 1230 |