Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories
Aerosol-cloud interactions (ACI) constitute the single largest uncertainty in anthropogenic radiative forcing. To reduce the uncertainties and gain more confidence in the simulation of ACI, models need to be evaluated against observations, in particular against measurements of cloud condensation nuc...
Published in: | Atmospheric Chemistry and Physics |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
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Copernicus GmbH
2018
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Subjects: | |
Online Access: | http://hdl.handle.net/10379/13826 https://doi.org/10.5194/acp-18-2853-2018 |
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ftnuigalway:oai:aran.library.nuigalway.ie/:10379/13826 |
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Open Polar |
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National University of Ireland (NUI), Galway: ARAN |
op_collection_id |
ftnuigalway |
language |
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topic |
aerosol mass-spectrometer single-parameter representation biomass burning smoke mega-city guangzhou 3580 m a.s.l organic aerosol ccn activity mixing state atmospheric aerosol hygroscopic growth |
spellingShingle |
aerosol mass-spectrometer single-parameter representation biomass burning smoke mega-city guangzhou 3580 m a.s.l organic aerosol ccn activity mixing state atmospheric aerosol hygroscopic growth Schmale, Julia Henning, Silvia Decesari, Stefano Henzing, Bas Keskinen, Helmi Sellegri, Karine Ovadnevaite, Jurgita Pöhlker, Mira L. Brito, Joel Bougiatioti, Aikaterini Kristensson, Adam Kalivitis, Nikos Stavroulas, Iasonas Carbone, Samara Jefferson, Anne Park, Minsu Schlag, Patrick Iwamoto, Yoko Aalto, Pasi Äijälä, Mikko Bukowiecki, Nicolas Ehn, Mikael Frank, Göran Fröhlich, Roman Frumau, Arnoud Herrmann, Erik Herrmann, Hartmut Holzinger, Rupert Kos, Gerard Kulmala, Markku Mihalopoulos, Nikolaos Nenes, Athanasios O'Dowd, Colin Petäjä, Tuukka Picard, David Pöhlker, Christopher Pöschl, Ulrich Poulain, Laurent Prévôt, André Stephan Henry Swietlicki, Erik Andreae, Meinrat O. Artaxo, Paulo Wiedensohler, Alfred Ogren, John Matsuki, Atsushi Yum, Seong Soo Stratmann, Frank Baltensperger, Urs Gysel, Martin Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories |
topic_facet |
aerosol mass-spectrometer single-parameter representation biomass burning smoke mega-city guangzhou 3580 m a.s.l organic aerosol ccn activity mixing state atmospheric aerosol hygroscopic growth |
description |
Aerosol-cloud interactions (ACI) constitute the single largest uncertainty in anthropogenic radiative forcing. To reduce the uncertainties and gain more confidence in the simulation of ACI, models need to be evaluated against observations, in particular against measurements of cloud condensation nuclei (CCN). Here we present a data set - ready to be used for model validation - of long-term observations of CCN number concentrations, particle number size distributions and chemical composition from 12 sites on 3 continents. Studied environments include coastal background, rural background, alpine sites, remote forests and an urban surrounding. Expectedly, CCN characteristics are highly variable across site categories. However, they also vary within them, most strongly in the coastal background group, where CCN number concentrations can vary by up to a factor of 30 within one season. In terms of particle activation behaviour, most continental stations exhibit very similar activation ratios (relative to particles > 20 nm) across the range of 0.1 to 1.0% supersaturation. At the coastal sites the transition from particles being CCN inactive to becoming CCN active occurs over a wider range of the supersaturation spectrum. Several stations show strong seasonal cycles of CCN number concentrations and particle number size distributions, e. g. at Barrow (Arctic haze in spring), at the alpine stations (stronger influence of polluted boundary layer air masses in summer), the rain forest (wet and dry season) or Finokalia (wildfire influence in autumn). The rural background and urban sites exhibit relatively little variability throughout the year, while short-term variability can be high especially at the urban site. The average hygroscopicity parameter, kappa, calculated from the chemical composition of submicron particles was highest at the coastal site of Mace Head (0.6) and lowest at the rain forest station ATTO (0.2-0.3). We performed closure studies based on kappa-Kohler theory to predict CCN number concentrations. The ... |
format |
Article in Journal/Newspaper |
author |
Schmale, Julia Henning, Silvia Decesari, Stefano Henzing, Bas Keskinen, Helmi Sellegri, Karine Ovadnevaite, Jurgita Pöhlker, Mira L. Brito, Joel Bougiatioti, Aikaterini Kristensson, Adam Kalivitis, Nikos Stavroulas, Iasonas Carbone, Samara Jefferson, Anne Park, Minsu Schlag, Patrick Iwamoto, Yoko Aalto, Pasi Äijälä, Mikko Bukowiecki, Nicolas Ehn, Mikael Frank, Göran Fröhlich, Roman Frumau, Arnoud Herrmann, Erik Herrmann, Hartmut Holzinger, Rupert Kos, Gerard Kulmala, Markku Mihalopoulos, Nikolaos Nenes, Athanasios O'Dowd, Colin Petäjä, Tuukka Picard, David Pöhlker, Christopher Pöschl, Ulrich Poulain, Laurent Prévôt, André Stephan Henry Swietlicki, Erik Andreae, Meinrat O. Artaxo, Paulo Wiedensohler, Alfred Ogren, John Matsuki, Atsushi Yum, Seong Soo Stratmann, Frank Baltensperger, Urs Gysel, Martin |
author_facet |
Schmale, Julia Henning, Silvia Decesari, Stefano Henzing, Bas Keskinen, Helmi Sellegri, Karine Ovadnevaite, Jurgita Pöhlker, Mira L. Brito, Joel Bougiatioti, Aikaterini Kristensson, Adam Kalivitis, Nikos Stavroulas, Iasonas Carbone, Samara Jefferson, Anne Park, Minsu Schlag, Patrick Iwamoto, Yoko Aalto, Pasi Äijälä, Mikko Bukowiecki, Nicolas Ehn, Mikael Frank, Göran Fröhlich, Roman Frumau, Arnoud Herrmann, Erik Herrmann, Hartmut Holzinger, Rupert Kos, Gerard Kulmala, Markku Mihalopoulos, Nikolaos Nenes, Athanasios O'Dowd, Colin Petäjä, Tuukka Picard, David Pöhlker, Christopher Pöschl, Ulrich Poulain, Laurent Prévôt, André Stephan Henry Swietlicki, Erik Andreae, Meinrat O. Artaxo, Paulo Wiedensohler, Alfred Ogren, John Matsuki, Atsushi Yum, Seong Soo Stratmann, Frank Baltensperger, Urs Gysel, Martin |
author_sort |
Schmale, Julia |
title |
Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories |
title_short |
Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories |
title_full |
Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories |
title_fullStr |
Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories |
title_full_unstemmed |
Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories |
title_sort |
long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories |
publisher |
Copernicus GmbH |
publishDate |
2018 |
url |
http://hdl.handle.net/10379/13826 https://doi.org/10.5194/acp-18-2853-2018 |
long_lat |
ENVELOPE(155.883,155.883,-81.417,-81.417) |
geographic |
Arctic Mace |
geographic_facet |
Arctic Mace |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
Atmospheric Chemistry and Physics Schmale, Julia; Henning, Silvia; Decesari, Stefano; Henzing, Bas; Keskinen, Helmi; Sellegri, Karine; Ovadnevaite, Jurgita; Pöhlker, Mira L. Brito, Joel; Bougiatioti, Aikaterini; Kristensson, Adam; Kalivitis, Nikos; Stavroulas, Iasonas; Carbone, Samara; Jefferson, Anne; Park, Minsu; Schlag, Patrick; Iwamoto, Yoko; Aalto, Pasi; Äijälä, Mikko; Bukowiecki, Nicolas; Ehn, Mikael; Frank, Göran; Fröhlich, Roman; Frumau, Arnoud; Herrmann, Erik; Herrmann, Hartmut; Holzinger, Rupert; Kos, Gerard; Kulmala, Markku; Mihalopoulos, Nikolaos; Nenes, Athanasios; O'Dowd, Colin; Petäjä, Tuukka; Picard, David; Pöhlker, Christopher; Pöschl, Ulrich; Poulain, Laurent; Prévôt, André Stephan Henry; Swietlicki, Erik; Andreae, Meinrat O.; Artaxo, Paulo; Wiedensohler, Alfred; Ogren, John; Matsuki, Atsushi; Yum, Seong Soo; Stratmann, Frank; Baltensperger, Urs; Gysel, Martin (2018). Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories. Atmospheric Chemistry and Physics 18 (4), 2853-2881 1680-7324 http://hdl.handle.net/10379/13826 doi:10.5194/acp-18-2853-2018 |
op_rights |
Attribution-NonCommercial-NoDerivs 3.0 Ireland https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ |
op_doi |
https://doi.org/10.5194/acp-18-2853-2018 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
18 |
container_issue |
4 |
container_start_page |
2853 |
op_container_end_page |
2881 |
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1768384070317768704 |
spelling |
ftnuigalway:oai:aran.library.nuigalway.ie/:10379/13826 2023-06-11T04:10:00+02:00 Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories Schmale, Julia Henning, Silvia Decesari, Stefano Henzing, Bas Keskinen, Helmi Sellegri, Karine Ovadnevaite, Jurgita Pöhlker, Mira L. Brito, Joel Bougiatioti, Aikaterini Kristensson, Adam Kalivitis, Nikos Stavroulas, Iasonas Carbone, Samara Jefferson, Anne Park, Minsu Schlag, Patrick Iwamoto, Yoko Aalto, Pasi Äijälä, Mikko Bukowiecki, Nicolas Ehn, Mikael Frank, Göran Fröhlich, Roman Frumau, Arnoud Herrmann, Erik Herrmann, Hartmut Holzinger, Rupert Kos, Gerard Kulmala, Markku Mihalopoulos, Nikolaos Nenes, Athanasios O'Dowd, Colin Petäjä, Tuukka Picard, David Pöhlker, Christopher Pöschl, Ulrich Poulain, Laurent Prévôt, André Stephan Henry Swietlicki, Erik Andreae, Meinrat O. Artaxo, Paulo Wiedensohler, Alfred Ogren, John Matsuki, Atsushi Yum, Seong Soo Stratmann, Frank Baltensperger, Urs Gysel, Martin 2018-02-28 http://hdl.handle.net/10379/13826 https://doi.org/10.5194/acp-18-2853-2018 unknown Copernicus GmbH Atmospheric Chemistry and Physics Schmale, Julia; Henning, Silvia; Decesari, Stefano; Henzing, Bas; Keskinen, Helmi; Sellegri, Karine; Ovadnevaite, Jurgita; Pöhlker, Mira L. Brito, Joel; Bougiatioti, Aikaterini; Kristensson, Adam; Kalivitis, Nikos; Stavroulas, Iasonas; Carbone, Samara; Jefferson, Anne; Park, Minsu; Schlag, Patrick; Iwamoto, Yoko; Aalto, Pasi; Äijälä, Mikko; Bukowiecki, Nicolas; Ehn, Mikael; Frank, Göran; Fröhlich, Roman; Frumau, Arnoud; Herrmann, Erik; Herrmann, Hartmut; Holzinger, Rupert; Kos, Gerard; Kulmala, Markku; Mihalopoulos, Nikolaos; Nenes, Athanasios; O'Dowd, Colin; Petäjä, Tuukka; Picard, David; Pöhlker, Christopher; Pöschl, Ulrich; Poulain, Laurent; Prévôt, André Stephan Henry; Swietlicki, Erik; Andreae, Meinrat O.; Artaxo, Paulo; Wiedensohler, Alfred; Ogren, John; Matsuki, Atsushi; Yum, Seong Soo; Stratmann, Frank; Baltensperger, Urs; Gysel, Martin (2018). Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories. Atmospheric Chemistry and Physics 18 (4), 2853-2881 1680-7324 http://hdl.handle.net/10379/13826 doi:10.5194/acp-18-2853-2018 Attribution-NonCommercial-NoDerivs 3.0 Ireland https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ aerosol mass-spectrometer single-parameter representation biomass burning smoke mega-city guangzhou 3580 m a.s.l organic aerosol ccn activity mixing state atmospheric aerosol hygroscopic growth Article 2018 ftnuigalway https://doi.org/10.5194/acp-18-2853-2018 2023-05-28T18:05:56Z Aerosol-cloud interactions (ACI) constitute the single largest uncertainty in anthropogenic radiative forcing. To reduce the uncertainties and gain more confidence in the simulation of ACI, models need to be evaluated against observations, in particular against measurements of cloud condensation nuclei (CCN). Here we present a data set - ready to be used for model validation - of long-term observations of CCN number concentrations, particle number size distributions and chemical composition from 12 sites on 3 continents. Studied environments include coastal background, rural background, alpine sites, remote forests and an urban surrounding. Expectedly, CCN characteristics are highly variable across site categories. However, they also vary within them, most strongly in the coastal background group, where CCN number concentrations can vary by up to a factor of 30 within one season. In terms of particle activation behaviour, most continental stations exhibit very similar activation ratios (relative to particles > 20 nm) across the range of 0.1 to 1.0% supersaturation. At the coastal sites the transition from particles being CCN inactive to becoming CCN active occurs over a wider range of the supersaturation spectrum. Several stations show strong seasonal cycles of CCN number concentrations and particle number size distributions, e. g. at Barrow (Arctic haze in spring), at the alpine stations (stronger influence of polluted boundary layer air masses in summer), the rain forest (wet and dry season) or Finokalia (wildfire influence in autumn). The rural background and urban sites exhibit relatively little variability throughout the year, while short-term variability can be high especially at the urban site. The average hygroscopicity parameter, kappa, calculated from the chemical composition of submicron particles was highest at the coastal site of Mace Head (0.6) and lowest at the rain forest station ATTO (0.2-0.3). We performed closure studies based on kappa-Kohler theory to predict CCN number concentrations. The ... Article in Journal/Newspaper Arctic National University of Ireland (NUI), Galway: ARAN Arctic Mace ENVELOPE(155.883,155.883,-81.417,-81.417) Atmospheric Chemistry and Physics 18 4 2853 2881 |