Icechrono1: a probabilistic model to compute a common and optimized chronology for several ice cores
International audience Polar ice cores provide exceptional archives of past environmental conditions. The dating of ice cores and the estimation of the age-scale uncertainty are essential to interpret the climate and environmental records that they contain. It is, however, a complex problem which in...
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Format: | Article in Journal/Newspaper |
Language: | French |
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HAL CCSD
2017
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Online Access: | https://hal.science/hal-02395955 https://hal.science/hal-02395955/document https://hal.science/hal-02395955/file/parrenin.pdf https://doi.org/10.4000/quaternaire.8121 |
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HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) |
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French |
topic |
Glaciology ice core dating probabilistic model Glaciologie carotte de glace datation modèle probabiliste [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
spellingShingle |
Glaciology ice core dating probabilistic model Glaciologie carotte de glace datation modèle probabiliste [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology Parrenin, Frédéric Bazin, Lucie Capron, Emilie Landais, Amaelle Lemieux‑dudon, Bénédicte Masson-Delmotte, Valérie Icechrono1: a probabilistic model to compute a common and optimized chronology for several ice cores |
topic_facet |
Glaciology ice core dating probabilistic model Glaciologie carotte de glace datation modèle probabiliste [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
description |
International audience Polar ice cores provide exceptional archives of past environmental conditions. The dating of ice cores and the estimation of the age-scale uncertainty are essential to interpret the climate and environmental records that they contain. It is, however, a complex problem which involves different methods. Here, we present IceChrono1, a new probabilistic model integrating various sources of chronological information to produce a common and optimized chronology for several ice cores, as well as its uncertainty. IceChrono1 is based on the inference of three quantities: the surface accumulation rate, the lock-in depth (LID) of air bubbles and the thinning function. The chronological information integrated into IceChrono1 are modeling scenarios of the sedimentation process (accumulation of snow, densification of snow into ice and air trapping, ice flow), ice-and air-dated horizons, ice and air depth intervals with known durations, Δdepth observations (depth shift between synchronous events recorded in the ice and in the air) and finally ice, air or mix stratigraphic links in between ice cores. the inference problem is formulated as a least squares optimisation, implying that all densities of probabilities are assumed to be Gaussian. It is numerically solved using the Levenberg-Marquardt algorithm (thus assuming that the model is almost linear in the vicinity of the solution) and a numerical evaluation of the model's Jacobian. IceChrono1 is freely available under the General Public License v3 open source license. Les forages polaires fournissent des archives exceptionnelles des conditions climatiques et environnementales passées. Produire une datation robuste des carottes de glace ainsi qu'une estimation de l'incertitude associée est essentiel pour interpréter les enregistrements climatiques et environnementaux qu'elles contiennent. Cependant, c'est une tâche complexe car elle implique d'utiliser différentes méthodes. Dans cet article, nous présentons IceChrono1, un modèle probabiliste qui ... |
author2 |
Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) 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) Glaces et Continents, Climats et Isotopes Stables (GLACCIOS) 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)) |
format |
Article in Journal/Newspaper |
author |
Parrenin, Frédéric Bazin, Lucie Capron, Emilie Landais, Amaelle Lemieux‑dudon, Bénédicte Masson-Delmotte, Valérie |
author_facet |
Parrenin, Frédéric Bazin, Lucie Capron, Emilie Landais, Amaelle Lemieux‑dudon, Bénédicte Masson-Delmotte, Valérie |
author_sort |
Parrenin, Frédéric |
title |
Icechrono1: a probabilistic model to compute a common and optimized chronology for several ice cores |
title_short |
Icechrono1: a probabilistic model to compute a common and optimized chronology for several ice cores |
title_full |
Icechrono1: a probabilistic model to compute a common and optimized chronology for several ice cores |
title_fullStr |
Icechrono1: a probabilistic model to compute a common and optimized chronology for several ice cores |
title_full_unstemmed |
Icechrono1: a probabilistic model to compute a common and optimized chronology for several ice cores |
title_sort |
icechrono1: a probabilistic model to compute a common and optimized chronology for several ice cores |
publisher |
HAL CCSD |
publishDate |
2017 |
url |
https://hal.science/hal-02395955 https://hal.science/hal-02395955/document https://hal.science/hal-02395955/file/parrenin.pdf https://doi.org/10.4000/quaternaire.8121 |
genre |
ice core |
genre_facet |
ice core |
op_source |
ISSN: 1142-2904 EISSN: 1965-0795 Quaternaire https://hal.science/hal-02395955 Quaternaire, 2017, 28 (2), pp.179-184. ⟨10.4000/quaternaire.8121⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.4000/quaternaire.8121 hal-02395955 https://hal.science/hal-02395955 https://hal.science/hal-02395955/document https://hal.science/hal-02395955/file/parrenin.pdf doi:10.4000/quaternaire.8121 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.4000/quaternaire.8121 |
container_title |
Quaternaire |
container_issue |
vol. 28/2 |
container_start_page |
179 |
op_container_end_page |
184 |
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1801376722995642368 |
spelling |
ftceafr:oai:HAL:hal-02395955v1 2024-06-09T07:46:45+00:00 Icechrono1: a probabilistic model to compute a common and optimized chronology for several ice cores Icechrono1 : un modèle probabiliste pour calculer une chronologie commune et optimale pour plusieurs carottes de glace Parrenin, Frédéric Bazin, Lucie Capron, Emilie Landais, Amaelle Lemieux‑dudon, Bénédicte Masson-Delmotte, Valérie Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) 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) Glaces et Continents, Climats et Isotopes Stables (GLACCIOS) 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)) 2017-05-29 https://hal.science/hal-02395955 https://hal.science/hal-02395955/document https://hal.science/hal-02395955/file/parrenin.pdf https://doi.org/10.4000/quaternaire.8121 fr fre HAL CCSD AFEQ-CNF INQUA info:eu-repo/semantics/altIdentifier/doi/10.4000/quaternaire.8121 hal-02395955 https://hal.science/hal-02395955 https://hal.science/hal-02395955/document https://hal.science/hal-02395955/file/parrenin.pdf doi:10.4000/quaternaire.8121 info:eu-repo/semantics/OpenAccess ISSN: 1142-2904 EISSN: 1965-0795 Quaternaire https://hal.science/hal-02395955 Quaternaire, 2017, 28 (2), pp.179-184. ⟨10.4000/quaternaire.8121⟩ Glaciology ice core dating probabilistic model Glaciologie carotte de glace datation modèle probabiliste [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology info:eu-repo/semantics/article Journal articles 2017 ftceafr https://doi.org/10.4000/quaternaire.8121 2024-05-16T14:51:36Z International audience Polar ice cores provide exceptional archives of past environmental conditions. The dating of ice cores and the estimation of the age-scale uncertainty are essential to interpret the climate and environmental records that they contain. It is, however, a complex problem which involves different methods. Here, we present IceChrono1, a new probabilistic model integrating various sources of chronological information to produce a common and optimized chronology for several ice cores, as well as its uncertainty. IceChrono1 is based on the inference of three quantities: the surface accumulation rate, the lock-in depth (LID) of air bubbles and the thinning function. The chronological information integrated into IceChrono1 are modeling scenarios of the sedimentation process (accumulation of snow, densification of snow into ice and air trapping, ice flow), ice-and air-dated horizons, ice and air depth intervals with known durations, Δdepth observations (depth shift between synchronous events recorded in the ice and in the air) and finally ice, air or mix stratigraphic links in between ice cores. the inference problem is formulated as a least squares optimisation, implying that all densities of probabilities are assumed to be Gaussian. It is numerically solved using the Levenberg-Marquardt algorithm (thus assuming that the model is almost linear in the vicinity of the solution) and a numerical evaluation of the model's Jacobian. IceChrono1 is freely available under the General Public License v3 open source license. Les forages polaires fournissent des archives exceptionnelles des conditions climatiques et environnementales passées. Produire une datation robuste des carottes de glace ainsi qu'une estimation de l'incertitude associée est essentiel pour interpréter les enregistrements climatiques et environnementaux qu'elles contiennent. Cependant, c'est une tâche complexe car elle implique d'utiliser différentes méthodes. Dans cet article, nous présentons IceChrono1, un modèle probabiliste qui ... Article in Journal/Newspaper ice core HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) Quaternaire vol. 28/2 179 184 |