Arctic ice core sea salt simulations for 1991-2015 CE produced using p-TOMCAT chemical transport model
Interpretation of ice core marine chemistry is often ambiguous because multiple processes influence the signal preserved. Using a chemical transport model, we investigate the relative influence of sea ice and meteorology changes on sea salt sodium records from Arctic ice cores.For inland Greenland c...
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Online Access: | https://dx.doi.org/10.1594/pangaea.887987 https://doi.pangaea.de/10.1594/PANGAEA.887987 |
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ftdatacite:10.1594/pangaea.887987 2023-05-15T14:48:08+02:00 Arctic ice core sea salt simulations for 1991-2015 CE produced using p-TOMCAT chemical transport model Rhodes, Rachael H Yang, Xin Wolff, Eric W 2018 application/octet-stream https://dx.doi.org/10.1594/pangaea.887987 https://doi.pangaea.de/10.1594/PANGAEA.887987 en eng PANGAEA - Data Publisher for Earth & Environmental Science https://dx.doi.org/10.1029/2018gl077403 https://dx.doi.org/10.5194/acp-17-9417-2017 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 CC-BY Dataset dataset 2018 ftdatacite https://doi.org/10.1594/pangaea.887987 https://doi.org/10.1029/2018gl077403 https://doi.org/10.5194/acp-17-9417-2017 2022-02-09T13:38:16Z Interpretation of ice core marine chemistry is often ambiguous because multiple processes influence the signal preserved. Using a chemical transport model, we investigate the relative influence of sea ice and meteorology changes on sea salt sodium records from Arctic ice cores.For inland Greenland cores, our simulations suggest that the sodium budget is dominated by the open ocean source and that inter-annual variability is primarily driven by meteorological conditions not the strength of aerosol emissions. In contrast, for coastal high Arctic cores, the sea ice surface is the principal aerosol source, with inter-annual variability strongly linked to aerosol emissions. High Arctic ice cores may therefore record decadal to centennial scale Holocene sea ice variability. However, any relationship between ice core sodium and sea ice may depend on how sea ice thickness or seasonality impacts sea salt emissions. Field-based observations are urgently required to constrain this.Simulations performed using Cambridge p-TOMCAT chemical transport model which represents the emission, transport and deposition of sea salt aerosol sourced from the open ocean (OOSS) and sea ice surface (SISS). p-TOMCAT is a 3D global model with a spatial resolution of 2.8° x 2.8° across 31 vertical sigma-pressure levels driven by ERA-Interim wind, temperature and humidity fields and HadISST-derived sea ice fraction. Dataset Arctic Greenland ice core Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Greenland |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
description |
Interpretation of ice core marine chemistry is often ambiguous because multiple processes influence the signal preserved. Using a chemical transport model, we investigate the relative influence of sea ice and meteorology changes on sea salt sodium records from Arctic ice cores.For inland Greenland cores, our simulations suggest that the sodium budget is dominated by the open ocean source and that inter-annual variability is primarily driven by meteorological conditions not the strength of aerosol emissions. In contrast, for coastal high Arctic cores, the sea ice surface is the principal aerosol source, with inter-annual variability strongly linked to aerosol emissions. High Arctic ice cores may therefore record decadal to centennial scale Holocene sea ice variability. However, any relationship between ice core sodium and sea ice may depend on how sea ice thickness or seasonality impacts sea salt emissions. Field-based observations are urgently required to constrain this.Simulations performed using Cambridge p-TOMCAT chemical transport model which represents the emission, transport and deposition of sea salt aerosol sourced from the open ocean (OOSS) and sea ice surface (SISS). p-TOMCAT is a 3D global model with a spatial resolution of 2.8° x 2.8° across 31 vertical sigma-pressure levels driven by ERA-Interim wind, temperature and humidity fields and HadISST-derived sea ice fraction. |
format |
Dataset |
author |
Rhodes, Rachael H Yang, Xin Wolff, Eric W |
spellingShingle |
Rhodes, Rachael H Yang, Xin Wolff, Eric W Arctic ice core sea salt simulations for 1991-2015 CE produced using p-TOMCAT chemical transport model |
author_facet |
Rhodes, Rachael H Yang, Xin Wolff, Eric W |
author_sort |
Rhodes, Rachael H |
title |
Arctic ice core sea salt simulations for 1991-2015 CE produced using p-TOMCAT chemical transport model |
title_short |
Arctic ice core sea salt simulations for 1991-2015 CE produced using p-TOMCAT chemical transport model |
title_full |
Arctic ice core sea salt simulations for 1991-2015 CE produced using p-TOMCAT chemical transport model |
title_fullStr |
Arctic ice core sea salt simulations for 1991-2015 CE produced using p-TOMCAT chemical transport model |
title_full_unstemmed |
Arctic ice core sea salt simulations for 1991-2015 CE produced using p-TOMCAT chemical transport model |
title_sort |
arctic ice core sea salt simulations for 1991-2015 ce produced using p-tomcat chemical transport model |
publisher |
PANGAEA - Data Publisher for Earth & Environmental Science |
publishDate |
2018 |
url |
https://dx.doi.org/10.1594/pangaea.887987 https://doi.pangaea.de/10.1594/PANGAEA.887987 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland ice core Sea ice |
genre_facet |
Arctic Greenland ice core Sea ice |
op_relation |
https://dx.doi.org/10.1029/2018gl077403 https://dx.doi.org/10.5194/acp-17-9417-2017 |
op_rights |
Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/pangaea.887987 https://doi.org/10.1029/2018gl077403 https://doi.org/10.5194/acp-17-9417-2017 |
_version_ |
1766319219478102016 |