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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Main Authors: Rhodes, Rachael H, Yang, Xin, Wolff, Eric W
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2018
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.887987
https://doi.pangaea.de/10.1594/PANGAEA.887987
id ftdatacite:10.1594/pangaea.887987
record_format openpolar
spelling 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
institution 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
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