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...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Other Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://dspace.library.uu.nl/handle/1874/377529 |
id |
ftunivutrecht:oai:dspace.library.uu.nl:1874/377529 |
---|---|
record_format |
openpolar |
spelling |
ftunivutrecht:oai:dspace.library.uu.nl:1874/377529 2023-11-12T04:13:55+01:00 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 Sub Atmospheric physics and chemistry Marine and Atmospheric Research 2018-02-28 image/pdf https://dspace.library.uu.nl/handle/1874/377529 en eng 1680-7316 https://dspace.library.uu.nl/handle/1874/377529 info:eu-repo/semantics/OpenAccess Atmospheric Science Article 2018 ftunivutrecht 2023-11-01T23:20:09Z 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 Utrecht University Repository Arctic Mace ENVELOPE(155.883,155.883,-81.417,-81.417) |
institution |
Open Polar |
collection |
Utrecht University Repository |
op_collection_id |
ftunivutrecht |
language |
English |
topic |
Atmospheric Science |
spellingShingle |
Atmospheric Science 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 Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories |
topic_facet |
Atmospheric Science |
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 ... |
author2 |
Sub Atmospheric physics and chemistry Marine and Atmospheric Research |
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 |
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 |
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 |
publishDate |
2018 |
url |
https://dspace.library.uu.nl/handle/1874/377529 |
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 |
1680-7316 https://dspace.library.uu.nl/handle/1874/377529 |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1782331698311069696 |