Spatial and temporal distribution of sea salt aerosol mass concentrations in the marine boundary layer from the Arctic to the Antarctic

1. Sampling information The samples were collected from the Chinese Research Vessel (R/V) Xuelong, which undertook eight Antarctic cruises and five Arctic cruises, in summer, between 2008 and 2018. Briefly, all cruises used a large-flow air sampler to collect TSP (total suspended particulates) sampl...

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Main Author: JIANG, B (via Mendeley Data)
Language:unknown
Published: 2021
Subjects:
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-dj-ts8q
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:197867
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:197867
record_format openpolar
spelling ftdans:oai:easy.dans.knaw.nl:easy-dataset:197867 2023-07-02T03:30:38+02:00 Spatial and temporal distribution of sea salt aerosol mass concentrations in the marine boundary layer from the Arctic to the Antarctic JIANG, B (via Mendeley Data) 2021-01-13T08:31:06.157Z http://nbn-resolving.org/urn:nbn:nl:ui:13-dj-ts8q https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:197867 unknown 1 49wmksx7pr http://nbn-resolving.org/urn:nbn:nl:ui:13-dj-ts8q doi:10.17632/49wmksx7pr.1 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:197867 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Bei JIANG Interdisciplinary sciences 2021 ftdans https://doi.org/10.17632/49wmksx7pr.1 2023-06-13T13:02:07Z 1. Sampling information The samples were collected from the Chinese Research Vessel (R/V) Xuelong, which undertook eight Antarctic cruises and five Arctic cruises, in summer, between 2008 and 2018. Briefly, all cruises used a large-flow air sampler to collect TSP (total suspended particulates) samples as well as field blanks. To avoid contamination, the large flow samplers were placed on the top deck during all cruises. All samples were collected using the relevant filter at a flow rate of 1.05 m3/min up to 57 h (most of them are 24h). After sampling, the samples were stored in a refrigerator at - 4 °C, prior to laboratory analysis. 2.Ion chromatography 467 samples were measured for ion concentrations. In summary, a punch sample of each filter was extracted by sonication and filtered through pre-washed 0.22-µm filters. Na+ in the samples was measured by ICS-2100 ion chromatography (Thermo Fisher Scientific Inc., USA). Each test had at least two reagent blanks, two field blanks, and one recovery. The recovery rate of all recovered samples was between 90% and 110%. The typical analytical precision of the instrument was better than 10 % relative standard deviation (RSD) for all ions. For comparison between the GEOS-Chem model and the observations, we converted the observed Na+ mass concentrations to SSA mass concentrations using a factor of 3.256, based on the mass ratio of Na+ in seawater. 3.GEOS-Chem model The GEOS-Chem global tropospheric chemistry model v12.2.6 (http://acmg.seas.harvard.edu/geos/) was used to simulate SSA concentrations with a spatial resolution of 2° × 2.5° at an hourly resolution (Text S3). Briefly, the model is driven by the Modern-Era Retrospective Analysis for Research and Applications-2 (MERRA-2). As our samples were TSP samples, the default SSA radius setting in the model (dp: particle diameter ~16 µm) was selected. SSA source functions in GEOS-Chem with an empirical dependence on SST derived by Jaegle et al. (2011). We simulated SSA concentrations every hour along the specific ship ... Other/Unknown Material Antarc* Antarctic Arctic Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Antarctic Arctic Merra ENVELOPE(12.615,12.615,65.816,65.816) The Antarctic
institution Open Polar
collection Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
op_collection_id ftdans
language unknown
topic Interdisciplinary sciences
spellingShingle Interdisciplinary sciences
JIANG, B (via Mendeley Data)
Spatial and temporal distribution of sea salt aerosol mass concentrations in the marine boundary layer from the Arctic to the Antarctic
topic_facet Interdisciplinary sciences
description 1. Sampling information The samples were collected from the Chinese Research Vessel (R/V) Xuelong, which undertook eight Antarctic cruises and five Arctic cruises, in summer, between 2008 and 2018. Briefly, all cruises used a large-flow air sampler to collect TSP (total suspended particulates) samples as well as field blanks. To avoid contamination, the large flow samplers were placed on the top deck during all cruises. All samples were collected using the relevant filter at a flow rate of 1.05 m3/min up to 57 h (most of them are 24h). After sampling, the samples were stored in a refrigerator at - 4 °C, prior to laboratory analysis. 2.Ion chromatography 467 samples were measured for ion concentrations. In summary, a punch sample of each filter was extracted by sonication and filtered through pre-washed 0.22-µm filters. Na+ in the samples was measured by ICS-2100 ion chromatography (Thermo Fisher Scientific Inc., USA). Each test had at least two reagent blanks, two field blanks, and one recovery. The recovery rate of all recovered samples was between 90% and 110%. The typical analytical precision of the instrument was better than 10 % relative standard deviation (RSD) for all ions. For comparison between the GEOS-Chem model and the observations, we converted the observed Na+ mass concentrations to SSA mass concentrations using a factor of 3.256, based on the mass ratio of Na+ in seawater. 3.GEOS-Chem model The GEOS-Chem global tropospheric chemistry model v12.2.6 (http://acmg.seas.harvard.edu/geos/) was used to simulate SSA concentrations with a spatial resolution of 2° × 2.5° at an hourly resolution (Text S3). Briefly, the model is driven by the Modern-Era Retrospective Analysis for Research and Applications-2 (MERRA-2). As our samples were TSP samples, the default SSA radius setting in the model (dp: particle diameter ~16 µm) was selected. SSA source functions in GEOS-Chem with an empirical dependence on SST derived by Jaegle et al. (2011). We simulated SSA concentrations every hour along the specific ship ...
author JIANG, B (via Mendeley Data)
author_facet JIANG, B (via Mendeley Data)
author_sort JIANG, B (via Mendeley Data)
title Spatial and temporal distribution of sea salt aerosol mass concentrations in the marine boundary layer from the Arctic to the Antarctic
title_short Spatial and temporal distribution of sea salt aerosol mass concentrations in the marine boundary layer from the Arctic to the Antarctic
title_full Spatial and temporal distribution of sea salt aerosol mass concentrations in the marine boundary layer from the Arctic to the Antarctic
title_fullStr Spatial and temporal distribution of sea salt aerosol mass concentrations in the marine boundary layer from the Arctic to the Antarctic
title_full_unstemmed Spatial and temporal distribution of sea salt aerosol mass concentrations in the marine boundary layer from the Arctic to the Antarctic
title_sort spatial and temporal distribution of sea salt aerosol mass concentrations in the marine boundary layer from the arctic to the antarctic
publishDate 2021
url http://nbn-resolving.org/urn:nbn:nl:ui:13-dj-ts8q
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:197867
long_lat ENVELOPE(12.615,12.615,65.816,65.816)
geographic Antarctic
Arctic
Merra
The Antarctic
geographic_facet Antarctic
Arctic
Merra
The Antarctic
genre Antarc*
Antarctic
Arctic
genre_facet Antarc*
Antarctic
Arctic
op_relation 1
49wmksx7pr
http://nbn-resolving.org/urn:nbn:nl:ui:13-dj-ts8q
doi:10.17632/49wmksx7pr.1
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:197867
op_rights OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI
https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
Bei JIANG
op_doi https://doi.org/10.17632/49wmksx7pr.1
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