Revisiting Winter Arctic Ice Mass Balance Observations With a 1‐D Model: Sensitivity Studies, Snow Density Estimation, Flooding, and Snow Ice Formation
International audience We used a state‐of‐the art one‐dimensional snow and ice model (the LIM1D model), to simulate data collected in winter 2015 north of Svalbard with ice mass balance instruments. The quality of the simulations was assessed by comparing simulated temperature profiles and sea ice t...
Published in: | Journal of Geophysical Research: Oceans |
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Main Authors: | , , , |
Other Authors: | , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2019
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Subjects: | |
Online Access: | https://hal.archives-ouvertes.fr/hal-03015301 https://hal.archives-ouvertes.fr/hal-03015301/document https://hal.archives-ouvertes.fr/hal-03015301/file/Gani_et_al-2019-Journal_of_Geophysical_Research__Oceans-1.pdf https://doi.org/10.1029/2019JC015431 |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology Gani, Sarah Sirven, Jérôme Sennéchael, Nathalie Provost, Christine Revisiting Winter Arctic Ice Mass Balance Observations With a 1‐D Model: Sensitivity Studies, Snow Density Estimation, Flooding, and Snow Ice Formation |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
description |
International audience We used a state‐of‐the art one‐dimensional snow and ice model (the LIM1D model), to simulate data collected in winter 2015 north of Svalbard with ice mass balance instruments. The quality of the simulations was assessed by comparing simulated temperature profiles and sea ice thicknesses with the data: The root‐mean‐square difference between observed and modeled temperature was 1.06 °C in snow and 0.19 °C in ice, and the root‐mean‐square difference between simulated and observed ice thickness was 2.0 cm (snow depth was prescribed). The long‐wave heat flux from the ERA‐I reanalysis was adequate to perform winter numerical simulations; in contrast, the ERA‐I air temperature induced large errors in the snow and ice temperature. Snow density had a direct impact on heat transfers and, thus, on the simulation. The joint use of the data and the simulations permitted the adjustment of the snow density profiles with a light (240 kg/m3) snow deposited on top of a denser (370 kg/m3) snow. The ice flooding, which occurred after a storm‐induced breakup of floes loaded with snow, was simulated by prescribing the observed lower limit of the snow. The simulations provided insights on the evolution of sea ice bulk salinity, brine fraction, and the amount of snow ice formed during the flooding event. |
author2 |
Austral, Boréal et Carbone (ABC) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-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)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-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)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-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)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU) ANR-10-EQPX-0032,IAOOS,Système d'observation de la glace, de l'atmopshère et de l'océan en Arctique(2010) |
format |
Article in Journal/Newspaper |
author |
Gani, Sarah Sirven, Jérôme Sennéchael, Nathalie Provost, Christine |
author_facet |
Gani, Sarah Sirven, Jérôme Sennéchael, Nathalie Provost, Christine |
author_sort |
Gani, Sarah |
title |
Revisiting Winter Arctic Ice Mass Balance Observations With a 1‐D Model: Sensitivity Studies, Snow Density Estimation, Flooding, and Snow Ice Formation |
title_short |
Revisiting Winter Arctic Ice Mass Balance Observations With a 1‐D Model: Sensitivity Studies, Snow Density Estimation, Flooding, and Snow Ice Formation |
title_full |
Revisiting Winter Arctic Ice Mass Balance Observations With a 1‐D Model: Sensitivity Studies, Snow Density Estimation, Flooding, and Snow Ice Formation |
title_fullStr |
Revisiting Winter Arctic Ice Mass Balance Observations With a 1‐D Model: Sensitivity Studies, Snow Density Estimation, Flooding, and Snow Ice Formation |
title_full_unstemmed |
Revisiting Winter Arctic Ice Mass Balance Observations With a 1‐D Model: Sensitivity Studies, Snow Density Estimation, Flooding, and Snow Ice Formation |
title_sort |
revisiting winter arctic ice mass balance observations with a 1‐d model: sensitivity studies, snow density estimation, flooding, and snow ice formation |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.archives-ouvertes.fr/hal-03015301 https://hal.archives-ouvertes.fr/hal-03015301/document https://hal.archives-ouvertes.fr/hal-03015301/file/Gani_et_al-2019-Journal_of_Geophysical_Research__Oceans-1.pdf https://doi.org/10.1029/2019JC015431 |
geographic |
Arctic Svalbard |
geographic_facet |
Arctic Svalbard |
genre |
Arctic Sea ice Svalbard |
genre_facet |
Arctic Sea ice Svalbard |
op_source |
ISSN: 2169-9275 EISSN: 2169-9291 Journal of Geophysical Research. Oceans https://hal.archives-ouvertes.fr/hal-03015301 Journal of Geophysical Research. Oceans, Wiley-Blackwell, 2019, 124 (12), pp.9295-9316. ⟨10.1029/2019JC015431⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1029/2019JC015431 hal-03015301 https://hal.archives-ouvertes.fr/hal-03015301 https://hal.archives-ouvertes.fr/hal-03015301/document https://hal.archives-ouvertes.fr/hal-03015301/file/Gani_et_al-2019-Journal_of_Geophysical_Research__Oceans-1.pdf doi:10.1029/2019JC015431 WOS: 000502927400001 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1029/2019JC015431 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
124 |
container_issue |
12 |
container_start_page |
9295 |
op_container_end_page |
9316 |
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1766340864014024704 |
spelling |
ftccsdartic:oai:HAL:hal-03015301v1 2023-05-15T15:09:44+02:00 Revisiting Winter Arctic Ice Mass Balance Observations With a 1‐D Model: Sensitivity Studies, Snow Density Estimation, Flooding, and Snow Ice Formation Gani, Sarah Sirven, Jérôme Sennéchael, Nathalie Provost, Christine Austral, Boréal et Carbone (ABC) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-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)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-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)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-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)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU) ANR-10-EQPX-0032,IAOOS,Système d'observation de la glace, de l'atmopshère et de l'océan en Arctique(2010) 2019 https://hal.archives-ouvertes.fr/hal-03015301 https://hal.archives-ouvertes.fr/hal-03015301/document https://hal.archives-ouvertes.fr/hal-03015301/file/Gani_et_al-2019-Journal_of_Geophysical_Research__Oceans-1.pdf https://doi.org/10.1029/2019JC015431 en eng HAL CCSD Wiley-Blackwell info:eu-repo/semantics/altIdentifier/doi/10.1029/2019JC015431 hal-03015301 https://hal.archives-ouvertes.fr/hal-03015301 https://hal.archives-ouvertes.fr/hal-03015301/document https://hal.archives-ouvertes.fr/hal-03015301/file/Gani_et_al-2019-Journal_of_Geophysical_Research__Oceans-1.pdf doi:10.1029/2019JC015431 WOS: 000502927400001 info:eu-repo/semantics/OpenAccess ISSN: 2169-9275 EISSN: 2169-9291 Journal of Geophysical Research. Oceans https://hal.archives-ouvertes.fr/hal-03015301 Journal of Geophysical Research. Oceans, Wiley-Blackwell, 2019, 124 (12), pp.9295-9316. ⟨10.1029/2019JC015431⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology info:eu-repo/semantics/article Journal articles 2019 ftccsdartic https://doi.org/10.1029/2019JC015431 2021-12-19T00:45:26Z International audience We used a state‐of‐the art one‐dimensional snow and ice model (the LIM1D model), to simulate data collected in winter 2015 north of Svalbard with ice mass balance instruments. The quality of the simulations was assessed by comparing simulated temperature profiles and sea ice thicknesses with the data: The root‐mean‐square difference between observed and modeled temperature was 1.06 °C in snow and 0.19 °C in ice, and the root‐mean‐square difference between simulated and observed ice thickness was 2.0 cm (snow depth was prescribed). The long‐wave heat flux from the ERA‐I reanalysis was adequate to perform winter numerical simulations; in contrast, the ERA‐I air temperature induced large errors in the snow and ice temperature. Snow density had a direct impact on heat transfers and, thus, on the simulation. The joint use of the data and the simulations permitted the adjustment of the snow density profiles with a light (240 kg/m3) snow deposited on top of a denser (370 kg/m3) snow. The ice flooding, which occurred after a storm‐induced breakup of floes loaded with snow, was simulated by prescribing the observed lower limit of the snow. The simulations provided insights on the evolution of sea ice bulk salinity, brine fraction, and the amount of snow ice formed during the flooding event. Article in Journal/Newspaper Arctic Sea ice Svalbard Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic Svalbard Journal of Geophysical Research: Oceans 124 12 9295 9316 |