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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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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1798840204459507712 |