A model to interpret driftwood transport in the Arctic

Driftwood is frequently used to estimate past changes of sea ice extent and circulation in the Arctic. Nevertheless, driftwood observations are difficult to interpret because of the potentially complex relation with climate change. In order to determine the origin of the observed changes, we built a...

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Published in:Quaternary Science Reviews
Main Authors: Dalaiden, Quentin, Goosse, Hugues, Lecomte, Olivier, Docquier, David
Other Authors: UCL - SST/ELI/ELIC - Earth & Climate
Format: Article in Journal/Newspaper
Language:English
Published: Pergamon 2018
Subjects:
Online Access:http://hdl.handle.net/2078.1/199015
https://doi.org/10.1016/j.quascirev.2018.05.004
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spelling ftunivlouvain:oai:dial.uclouvain.be:boreal:199015 2024-05-12T07:59:11+00:00 A model to interpret driftwood transport in the Arctic Dalaiden, Quentin Goosse, Hugues Lecomte, Olivier Docquier, David UCL - SST/ELI/ELIC - Earth & Climate 2018 http://hdl.handle.net/2078.1/199015 https://doi.org/10.1016/j.quascirev.2018.05.004 eng eng Pergamon boreal:199015 http://hdl.handle.net/2078.1/199015 doi:10.1016/j.quascirev.2018.05.004 urn:ISSN:0277-3791 urn:EISSN:1873-457X info:eu-repo/semantics/restrictedAccess Quaternary Science Reviews, Vol. 191, p. 89-100 (2018) Arctic ocean Driftwood Holocene Proxy system models Reconstruction Sea ice Climate models Image reconstruction Surface waters Wood Atmospheric circulation Holocenes Model simulation Sea ice concentration System models Transport modeling Climate change info:eu-repo/semantics/article 2018 ftunivlouvain https://doi.org/10.1016/j.quascirev.2018.05.004 2024-04-17T16:53:27Z Driftwood is frequently used to estimate past changes of sea ice extent and circulation in the Arctic. Nevertheless, driftwood observations are difficult to interpret because of the potentially complex relation with climate change. In order to determine the origin of the observed changes, we built a driftwood transport model (DTM) simulating the driftwood trajectories from the boreal forest to Arctic coasts. The model is driven by three main variables, which are the sea ice velocity, concentration and the sea surface current velocity that can be derived from observations or climate model outputs (e.g. from a General Climate Model – GCM). Overall, the DTM model agrees with the observations, although this comparison needs to be taken with caution because of the sparse data and the uncertainties of driftwood provenance. Through simulations performed with the DTM model, we confirm the strong influence of the variability of the atmospheric circulation on the spatial driftwood distribution. Model simulations of the Mid-Holocene period driven by six GCMs show that small local changes in sea ice circulation – a westward shift in the Transpolar Drift and a reduced Beaufort Gyre during the Mid-Holocene compared to the present period – suffice to explain the driftwood landing change during the Mid-Holocene, with a non-negligible contribution from reduced sea ice concentration. Consequently, a change in driftwood deposit should not be directly interpreted as large modifications in atmospheric circulation and the complexity of the response of driftwood trajectories to past climate changes clearly highlights the interest of using a model to interpret driftwood records. © 2018 Elsevier Ltd Article in Journal/Newspaper Arctic Arctic Ocean Climate change Sea ice DIAL@UCLouvain (Université catholique de Louvain) Arctic Arctic Ocean Quaternary Science Reviews 191 89 100
institution Open Polar
collection DIAL@UCLouvain (Université catholique de Louvain)
op_collection_id ftunivlouvain
language English
topic Arctic ocean
Driftwood
Holocene
Proxy system models
Reconstruction
Sea ice
Climate models
Image reconstruction
Surface waters
Wood
Atmospheric circulation
Holocenes
Model simulation
Sea ice concentration
System models
Transport modeling
Climate change
spellingShingle Arctic ocean
Driftwood
Holocene
Proxy system models
Reconstruction
Sea ice
Climate models
Image reconstruction
Surface waters
Wood
Atmospheric circulation
Holocenes
Model simulation
Sea ice concentration
System models
Transport modeling
Climate change
Dalaiden, Quentin
Goosse, Hugues
Lecomte, Olivier
Docquier, David
A model to interpret driftwood transport in the Arctic
topic_facet Arctic ocean
Driftwood
Holocene
Proxy system models
Reconstruction
Sea ice
Climate models
Image reconstruction
Surface waters
Wood
Atmospheric circulation
Holocenes
Model simulation
Sea ice concentration
System models
Transport modeling
Climate change
description Driftwood is frequently used to estimate past changes of sea ice extent and circulation in the Arctic. Nevertheless, driftwood observations are difficult to interpret because of the potentially complex relation with climate change. In order to determine the origin of the observed changes, we built a driftwood transport model (DTM) simulating the driftwood trajectories from the boreal forest to Arctic coasts. The model is driven by three main variables, which are the sea ice velocity, concentration and the sea surface current velocity that can be derived from observations or climate model outputs (e.g. from a General Climate Model – GCM). Overall, the DTM model agrees with the observations, although this comparison needs to be taken with caution because of the sparse data and the uncertainties of driftwood provenance. Through simulations performed with the DTM model, we confirm the strong influence of the variability of the atmospheric circulation on the spatial driftwood distribution. Model simulations of the Mid-Holocene period driven by six GCMs show that small local changes in sea ice circulation – a westward shift in the Transpolar Drift and a reduced Beaufort Gyre during the Mid-Holocene compared to the present period – suffice to explain the driftwood landing change during the Mid-Holocene, with a non-negligible contribution from reduced sea ice concentration. Consequently, a change in driftwood deposit should not be directly interpreted as large modifications in atmospheric circulation and the complexity of the response of driftwood trajectories to past climate changes clearly highlights the interest of using a model to interpret driftwood records. © 2018 Elsevier Ltd
author2 UCL - SST/ELI/ELIC - Earth & Climate
format Article in Journal/Newspaper
author Dalaiden, Quentin
Goosse, Hugues
Lecomte, Olivier
Docquier, David
author_facet Dalaiden, Quentin
Goosse, Hugues
Lecomte, Olivier
Docquier, David
author_sort Dalaiden, Quentin
title A model to interpret driftwood transport in the Arctic
title_short A model to interpret driftwood transport in the Arctic
title_full A model to interpret driftwood transport in the Arctic
title_fullStr A model to interpret driftwood transport in the Arctic
title_full_unstemmed A model to interpret driftwood transport in the Arctic
title_sort model to interpret driftwood transport in the arctic
publisher Pergamon
publishDate 2018
url http://hdl.handle.net/2078.1/199015
https://doi.org/10.1016/j.quascirev.2018.05.004
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Climate change
Sea ice
genre_facet Arctic
Arctic Ocean
Climate change
Sea ice
op_source Quaternary Science Reviews, Vol. 191, p. 89-100 (2018)
op_relation boreal:199015
http://hdl.handle.net/2078.1/199015
doi:10.1016/j.quascirev.2018.05.004
urn:ISSN:0277-3791
urn:EISSN:1873-457X
op_rights info:eu-repo/semantics/restrictedAccess
op_doi https://doi.org/10.1016/j.quascirev.2018.05.004
container_title Quaternary Science Reviews
container_volume 191
container_start_page 89
op_container_end_page 100
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