Numerical modelling of pan-arctic erosion using globally-available forcing data
As air temperatures rise and sea ice cover declines in the Arctic, permafrost coastal cliffs thaw more rapidly and wave energy rises. Thus, as the open water season continues to lengthen, climate change triggers a large part of the Arctic shoreline to become increasingly vulnerable to erosion. Arcti...
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ftawi:oai:epic.awi.de:55366 2023-05-15T14:27:44+02:00 Numerical modelling of pan-arctic erosion using globally-available forcing data Rolph, Rebecca Lantuit, Hugues Overduin, Pier Paul Langer, Moritz 2021-12-15 https://epic.awi.de/id/eprint/55366/ https://www.agu.org/Fall-Meeting https://hdl.handle.net/10013/epic.520deeff-cd80-4fb7-a76a-a3d9fb28358c unknown American Geophysical Union Rolph, R. orcid:0000-0002-8583-5933 , Lantuit, H. orcid:0000-0003-1497-6760 , Overduin, P. P. orcid:0000-0001-9849-4712 and Langer, M. orcid:0000-0002-2704-3655 (2021) Numerical modelling of pan-arctic erosion using globally-available forcing data , American Geophysical Union Conference 2021, Hybrid Online and in New Orleans, 13 December 2021 - 17 December 2021 . hdl:10013/epic.520deeff-cd80-4fb7-a76a-a3d9fb28358c EPIC3American Geophysical Union Conference 2021, Hybrid Online and in New Orleans, 2021-12-13-2021-12-17AGU 2021, American Geophysical Union Conference notRev 2021 ftawi 2022-02-21T00:10:44Z As air temperatures rise and sea ice cover declines in the Arctic, permafrost coastal cliffs thaw more rapidly and wave energy rises. Thus, as the open water season continues to lengthen, climate change triggers a large part of the Arctic shoreline to become increasingly vulnerable to erosion. Arctic erosion supplies nutrient-laden and carbon-rich sediment into nearshore ecosystems. A retreating coastline also has consequences for residential, cultural, and industrial infrastructure. Despite its importance, erosion is currently neglected in global climate models, and existing physics-based numerical models of Arctic shoreline erosion are too complex and regionally-focused to be applied on a pan-Arctic scale. Here, we apply our simplified numerical erosion model, ArcticBeach v1.0, to the entire Arctic coastline. ArcticBeach v1.0 has previously been shown to simulate retreat rates at two sites that differ substantially in their main mechanisms of retreat (sub-aerial erosion/thaw slumping versus notch/block erosion). The model uses heat and sediment volume balances in order to predict horizontal cliff retreat and vertical erosion of a fronting beach. It contains an erosion module that uses empirical equations to estimate cross-shore sediment transport, coupled to a storm surge module forced by wind. We present Arctic maps of regional variation in trends in 2-meter air temperature, sea ice concentration, and wind speed. Conference Object Arctic Arctic Climate change Ice permafrost Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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description |
As air temperatures rise and sea ice cover declines in the Arctic, permafrost coastal cliffs thaw more rapidly and wave energy rises. Thus, as the open water season continues to lengthen, climate change triggers a large part of the Arctic shoreline to become increasingly vulnerable to erosion. Arctic erosion supplies nutrient-laden and carbon-rich sediment into nearshore ecosystems. A retreating coastline also has consequences for residential, cultural, and industrial infrastructure. Despite its importance, erosion is currently neglected in global climate models, and existing physics-based numerical models of Arctic shoreline erosion are too complex and regionally-focused to be applied on a pan-Arctic scale. Here, we apply our simplified numerical erosion model, ArcticBeach v1.0, to the entire Arctic coastline. ArcticBeach v1.0 has previously been shown to simulate retreat rates at two sites that differ substantially in their main mechanisms of retreat (sub-aerial erosion/thaw slumping versus notch/block erosion). The model uses heat and sediment volume balances in order to predict horizontal cliff retreat and vertical erosion of a fronting beach. It contains an erosion module that uses empirical equations to estimate cross-shore sediment transport, coupled to a storm surge module forced by wind. We present Arctic maps of regional variation in trends in 2-meter air temperature, sea ice concentration, and wind speed. |
format |
Conference Object |
author |
Rolph, Rebecca Lantuit, Hugues Overduin, Pier Paul Langer, Moritz |
spellingShingle |
Rolph, Rebecca Lantuit, Hugues Overduin, Pier Paul Langer, Moritz Numerical modelling of pan-arctic erosion using globally-available forcing data |
author_facet |
Rolph, Rebecca Lantuit, Hugues Overduin, Pier Paul Langer, Moritz |
author_sort |
Rolph, Rebecca |
title |
Numerical modelling of pan-arctic erosion using globally-available forcing data |
title_short |
Numerical modelling of pan-arctic erosion using globally-available forcing data |
title_full |
Numerical modelling of pan-arctic erosion using globally-available forcing data |
title_fullStr |
Numerical modelling of pan-arctic erosion using globally-available forcing data |
title_full_unstemmed |
Numerical modelling of pan-arctic erosion using globally-available forcing data |
title_sort |
numerical modelling of pan-arctic erosion using globally-available forcing data |
publisher |
American Geophysical Union |
publishDate |
2021 |
url |
https://epic.awi.de/id/eprint/55366/ https://www.agu.org/Fall-Meeting https://hdl.handle.net/10013/epic.520deeff-cd80-4fb7-a76a-a3d9fb28358c |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Climate change Ice permafrost Sea ice |
genre_facet |
Arctic Arctic Climate change Ice permafrost Sea ice |
op_source |
EPIC3American Geophysical Union Conference 2021, Hybrid Online and in New Orleans, 2021-12-13-2021-12-17AGU 2021, American Geophysical Union |
op_relation |
Rolph, R. orcid:0000-0002-8583-5933 , Lantuit, H. orcid:0000-0003-1497-6760 , Overduin, P. P. orcid:0000-0001-9849-4712 and Langer, M. orcid:0000-0002-2704-3655 (2021) Numerical modelling of pan-arctic erosion using globally-available forcing data , American Geophysical Union Conference 2021, Hybrid Online and in New Orleans, 13 December 2021 - 17 December 2021 . hdl:10013/epic.520deeff-cd80-4fb7-a76a-a3d9fb28358c |
_version_ |
1766301609594191872 |