Toward HPC simulations of climate warming impacts on Eurasian permafrost: the HiPerBorea project
International audience Permafrost, i.e., soil that is year-round frozen in depth, is covering a quarter of the northern hemisphere lands, and most of it is located in Asia (Siberia, Himalaya). It currently experiences fast changes due to climate change at global scale and technogenic perturbations a...
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HAL CCSD
2022
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Online Access: | https://hal.science/hal-03976656 https://hal.science/hal-03976656/document https://hal.science/hal-03976656/file/Orgogozo_Xavier_ACFD_2022.pdf https://doi.org/10.13140/RG.2.2.31820.49289 |
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ftunivnantes:oai:HAL:hal-03976656v1 |
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openpolar |
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Open Polar |
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Université de Nantes: HAL-UNIV-NANTES |
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ftunivnantes |
language |
English |
topic |
heat transfer water transfer porous media high performance computing permafrost climate change Siberia [PHYS]Physics [physics] [INFO]Computer Science [cs] [SDE]Environmental Sciences |
spellingShingle |
heat transfer water transfer porous media high performance computing permafrost climate change Siberia [PHYS]Physics [physics] [INFO]Computer Science [cs] [SDE]Environmental Sciences Orgogozo, Laurent Xavier, Thibault Toward HPC simulations of climate warming impacts on Eurasian permafrost: the HiPerBorea project |
topic_facet |
heat transfer water transfer porous media high performance computing permafrost climate change Siberia [PHYS]Physics [physics] [INFO]Computer Science [cs] [SDE]Environmental Sciences |
description |
International audience Permafrost, i.e., soil that is year-round frozen in depth, is covering a quarter of the northern hemisphere lands, and most of it is located in Asia (Siberia, Himalaya). It currently experiences fast changes due to climate change at global scale and technogenic perturbations at local scale, and the assessment and anticipation of these changes are of primary importance for many environmental and engineering applications in cold regions [1],[2] . To these ends, permafrost modeling is required. It implies the numerical simulation of coupled heat and water transfers in variably saturated porous media experiencing freeze/thaw of the pore water. The strong couplings and non-linearities involved in the physics at stake make such simulations highly challenging, especially from a computational point of view, and thus the use of High Performance Computing is needed. This communication aims to illustrate these challenges by considering applications of a recentlydeveloped OpenFOAM ® solver for cryohydrogeology, permaFoam [3],[4] . Developing permaFoam in the OpenFOAM framework allows to benefit from up to date, continuously maintained parallel computing capabilities [5],[6],[7] . Currently permaFoam is developed and used in the framework of HiPerBorea [8] , a research project dealing with the assessment of climate change impacts on permafrost on boreal continental surfaces. It focuses on the numerical simulation of heat andwater fluxes within four boreal catchments under long term environmental monitoring [9] , and which spans a large longitudinal gradient in Eurasia, from Scandinavia to Eastern Siberia. Using permaFoam, HiPerBorea aims to produce simulations of responses of the permafrost of these watersheds for various scenarios of climate change until 2100. Such simulations imply the use of large computational resources, and are performed on tier-0 supercomputers [10] . Thanks to itsgood parallel performances, permaFoam allows using efficiently such HPC facilities. For the on-going academic year ... |
author2 |
Géosciences Environnement Toulouse (GET) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) ANR-19-CE46-0003,HiPerBorea,Calul haute performance pour la quantification des impacts du changement climatique sur les régions boréales(2019) |
format |
Conference Object |
author |
Orgogozo, Laurent Xavier, Thibault |
author_facet |
Orgogozo, Laurent Xavier, Thibault |
author_sort |
Orgogozo, Laurent |
title |
Toward HPC simulations of climate warming impacts on Eurasian permafrost: the HiPerBorea project |
title_short |
Toward HPC simulations of climate warming impacts on Eurasian permafrost: the HiPerBorea project |
title_full |
Toward HPC simulations of climate warming impacts on Eurasian permafrost: the HiPerBorea project |
title_fullStr |
Toward HPC simulations of climate warming impacts on Eurasian permafrost: the HiPerBorea project |
title_full_unstemmed |
Toward HPC simulations of climate warming impacts on Eurasian permafrost: the HiPerBorea project |
title_sort |
toward hpc simulations of climate warming impacts on eurasian permafrost: the hiperborea project |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.science/hal-03976656 https://hal.science/hal-03976656/document https://hal.science/hal-03976656/file/Orgogozo_Xavier_ACFD_2022.pdf https://doi.org/10.13140/RG.2.2.31820.49289 |
op_coverage |
Jeju, South Korea |
genre |
permafrost Siberia |
genre_facet |
permafrost Siberia |
op_source |
13th Asian Computational Fluid Dynamics conference https://hal.science/hal-03976656 13th Asian Computational Fluid Dynamics conference, Oct 2022, Jeju, South Korea. ⟨10.13140/RG.2.2.31820.49289⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.13140/RG.2.2.31820.49289 hal-03976656 https://hal.science/hal-03976656 https://hal.science/hal-03976656/document https://hal.science/hal-03976656/file/Orgogozo_Xavier_ACFD_2022.pdf doi:10.13140/RG.2.2.31820.49289 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.13140/RG.2.2.31820.49289 |
_version_ |
1766164883690225664 |
spelling |
ftunivnantes:oai:HAL:hal-03976656v1 2023-05-15T17:56:39+02:00 Toward HPC simulations of climate warming impacts on Eurasian permafrost: the HiPerBorea project Orgogozo, Laurent Xavier, Thibault Géosciences Environnement Toulouse (GET) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) ANR-19-CE46-0003,HiPerBorea,Calul haute performance pour la quantification des impacts du changement climatique sur les régions boréales(2019) Jeju, South Korea 2022-10-16 https://hal.science/hal-03976656 https://hal.science/hal-03976656/document https://hal.science/hal-03976656/file/Orgogozo_Xavier_ACFD_2022.pdf https://doi.org/10.13140/RG.2.2.31820.49289 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.13140/RG.2.2.31820.49289 hal-03976656 https://hal.science/hal-03976656 https://hal.science/hal-03976656/document https://hal.science/hal-03976656/file/Orgogozo_Xavier_ACFD_2022.pdf doi:10.13140/RG.2.2.31820.49289 info:eu-repo/semantics/OpenAccess 13th Asian Computational Fluid Dynamics conference https://hal.science/hal-03976656 13th Asian Computational Fluid Dynamics conference, Oct 2022, Jeju, South Korea. ⟨10.13140/RG.2.2.31820.49289⟩ heat transfer water transfer porous media high performance computing permafrost climate change Siberia [PHYS]Physics [physics] [INFO]Computer Science [cs] [SDE]Environmental Sciences info:eu-repo/semantics/conferenceObject Conference papers 2022 ftunivnantes https://doi.org/10.13140/RG.2.2.31820.49289 2023-02-22T00:49:53Z International audience Permafrost, i.e., soil that is year-round frozen in depth, is covering a quarter of the northern hemisphere lands, and most of it is located in Asia (Siberia, Himalaya). It currently experiences fast changes due to climate change at global scale and technogenic perturbations at local scale, and the assessment and anticipation of these changes are of primary importance for many environmental and engineering applications in cold regions [1],[2] . To these ends, permafrost modeling is required. It implies the numerical simulation of coupled heat and water transfers in variably saturated porous media experiencing freeze/thaw of the pore water. The strong couplings and non-linearities involved in the physics at stake make such simulations highly challenging, especially from a computational point of view, and thus the use of High Performance Computing is needed. This communication aims to illustrate these challenges by considering applications of a recentlydeveloped OpenFOAM ® solver for cryohydrogeology, permaFoam [3],[4] . Developing permaFoam in the OpenFOAM framework allows to benefit from up to date, continuously maintained parallel computing capabilities [5],[6],[7] . Currently permaFoam is developed and used in the framework of HiPerBorea [8] , a research project dealing with the assessment of climate change impacts on permafrost on boreal continental surfaces. It focuses on the numerical simulation of heat andwater fluxes within four boreal catchments under long term environmental monitoring [9] , and which spans a large longitudinal gradient in Eurasia, from Scandinavia to Eastern Siberia. Using permaFoam, HiPerBorea aims to produce simulations of responses of the permafrost of these watersheds for various scenarios of climate change until 2100. Such simulations imply the use of large computational resources, and are performed on tier-0 supercomputers [10] . Thanks to itsgood parallel performances, permaFoam allows using efficiently such HPC facilities. For the on-going academic year ... Conference Object permafrost Siberia Université de Nantes: HAL-UNIV-NANTES |