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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Format: | Article in Journal/Newspaper |
Language: | English |
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Copernicus GmbH
2018
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Online Access: | https://lup.lub.lu.se/record/660dbf77-ff3b-4315-a041-58ceae3ae89c https://doi.org/10.5194/acp-18-2853-2018 |
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ftulundlup:oai:lup.lub.lu.se:660dbf77-ff3b-4315-a041-58ceae3ae89c 2023-05-15T15:15:55+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 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 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 Swietlicki, Erik Andreae, Meinrat Artaxo, Paulo Wiedensohler, Alfred Ogren, John Matsuki, Atsushi Soo Yum, Seong Stratmann, Frank Baltensperger, Urs Gysel, Martin Frank, Göran 2018-02-28 https://lup.lub.lu.se/record/660dbf77-ff3b-4315-a041-58ceae3ae89c https://doi.org/10.5194/acp-18-2853-2018 eng eng Copernicus GmbH https://lup.lub.lu.se/record/660dbf77-ff3b-4315-a041-58ceae3ae89c http://dx.doi.org/10.5194/acp-18-2853-2018 scopus:85042731217 Atmospheric Chemistry and Physics; 18(4), pp 2853-2881 (2018) ISSN: 1680-7316 Meteorology and Atmospheric Sciences contributiontojournal/article info:eu-repo/semantics/article text 2018 ftulundlup https://doi.org/10.5194/acp-18-2853-2018 2023-02-01T23:35:54Z 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 20nm) 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, 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 -Köhler theory to predict CCN number concentrations. The ratio of predicted ... Article in Journal/Newspaper Arctic Lund University Publications (LUP) Arctic Mace ENVELOPE(155.883,155.883,-81.417,-81.417) Atmospheric Chemistry and Physics 18 4 2853 2881 |
institution |
Open Polar |
collection |
Lund University Publications (LUP) |
op_collection_id |
ftulundlup |
language |
English |
topic |
Meteorology and Atmospheric Sciences |
spellingShingle |
Meteorology and Atmospheric Sciences Schmale, Julia Henning, Silvia Decesari, Stefano Henzing, Bas Keskinen, Helmi Sellegri, Karine Ovadnevaite, Jurgita Pöhlker, Mira 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 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 Swietlicki, Erik Andreae, Meinrat Artaxo, Paulo Wiedensohler, Alfred Ogren, John Matsuki, Atsushi Soo Yum, Seong Stratmann, Frank Baltensperger, Urs Gysel, Martin Frank, Göran Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories |
topic_facet |
Meteorology and Atmospheric Sciences |
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 20nm) 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, 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 -Köhler theory to predict CCN number concentrations. The ratio of predicted ... |
format |
Article in Journal/Newspaper |
author |
Schmale, Julia Henning, Silvia Decesari, Stefano Henzing, Bas Keskinen, Helmi Sellegri, Karine Ovadnevaite, Jurgita Pöhlker, Mira 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 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 Swietlicki, Erik Andreae, Meinrat Artaxo, Paulo Wiedensohler, Alfred Ogren, John Matsuki, Atsushi Soo Yum, Seong Stratmann, Frank Baltensperger, Urs Gysel, Martin Frank, Göran |
author_facet |
Schmale, Julia Henning, Silvia Decesari, Stefano Henzing, Bas Keskinen, Helmi Sellegri, Karine Ovadnevaite, Jurgita Pöhlker, Mira 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 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 Swietlicki, Erik Andreae, Meinrat Artaxo, Paulo Wiedensohler, Alfred Ogren, John Matsuki, Atsushi Soo Yum, Seong Stratmann, Frank Baltensperger, Urs Gysel, Martin Frank, Göran |
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 |
https://lup.lub.lu.se/record/660dbf77-ff3b-4315-a041-58ceae3ae89c 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_source |
Atmospheric Chemistry and Physics; 18(4), pp 2853-2881 (2018) ISSN: 1680-7316 |
op_relation |
https://lup.lub.lu.se/record/660dbf77-ff3b-4315-a041-58ceae3ae89c http://dx.doi.org/10.5194/acp-18-2853-2018 scopus:85042731217 |
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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1766346250031988736 |