Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund
In this study, we modeled the aerosol particle formation along air mass trajectories arriving at the remote Arctic research stations Gruvebadet (67 m a.s.l.) and Zeppelin (474 m a.s.l.), Ny-Ålesund, during May 2018. The aim of this study was to improve our understanding of processes governing second...
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Online Access: | https://doi.org/10.5194/acp-22-10023-2022 https://acp.copernicus.org/articles/22/10023/2022/ |
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ftcopernicus:oai:publications.copernicus.org:acp101965 2023-05-15T14:52:59+02:00 Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund Xavier, Carlton Baykara, Metin Wollesen de Jonge, Robin Altstädter, Barbara Clusius, Petri Vakkari, Ville Thakur, Roseline Beck, Lisa Becagli, Silvia Severi, Mirko Traversi, Rita Krejci, Radovan Tunved, Peter Mazzola, Mauro Wehner, Birgit Sipilä, Mikko Kulmala, Markku Boy, Michael Roldin, Pontus 2022-08-04 application/pdf https://doi.org/10.5194/acp-22-10023-2022 https://acp.copernicus.org/articles/22/10023/2022/ eng eng doi:10.5194/acp-22-10023-2022 https://acp.copernicus.org/articles/22/10023/2022/ eISSN: 1680-7324 Text 2022 ftcopernicus https://doi.org/10.5194/acp-22-10023-2022 2022-08-08T16:22:56Z In this study, we modeled the aerosol particle formation along air mass trajectories arriving at the remote Arctic research stations Gruvebadet (67 m a.s.l.) and Zeppelin (474 m a.s.l.), Ny-Ålesund, during May 2018. The aim of this study was to improve our understanding of processes governing secondary aerosol formation in remote Arctic marine environments. We run the Lagrangian chemistry transport model ADCHEM, along air mass trajectories generated with FLEXPART v10.4. The air masses arriving at Ny-Ålesund spent most of their time over the open ice-free ocean. In order to capture the secondary aerosol formation from the DMS emitted by phytoplankton from the ocean surface, we implemented a recently developed comprehensive DMS and halogen multi-phase oxidation chemistry scheme, coupled with the widely used Master Chemical Mechanism (MCM). The modeled median particle number size distributions are in close agreement with the observations in the marine-influenced boundary layer near-sea-surface Gruvebadet site. However, while the model reproduces the accumulation mode particle number concentrations at Zeppelin, it overestimates the Aitken mode particle number concentrations by a factor of ∼5.5 . We attribute this to the deficiency of the model to capture the complex orographic effects on the boundary layer dynamics at Ny-Ålesund. However, the model reproduces the average vertical particle number concentration profiles within the boundary layer (0–600 m a.s.l.) above Gruvebadet, as measured with condensation particle counters (CPCs) on board an unmanned aircraft system (UAS). The model successfully reproduces the observed Hoppel minima, often seen in particle number size distributions at Ny-Ålesund. The model also supports the previous experimental findings that ion-mediated H 2 SO 4 –NH 3 nucleation can explain the observed new particle formation in the marine Arctic boundary layer in the vicinity of Ny-Ålesund. Precursors resulting from gas- and aqueous-phase DMS chemistry contribute to the subsequent growth of the ... Text Arctic Ny Ålesund Ny-Ålesund Phytoplankton Copernicus Publications: E-Journals Aitken ENVELOPE(-44.516,-44.516,-60.733,-60.733) Arctic Ny-Ålesund Atmospheric Chemistry and Physics 22 15 10023 10043 |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
In this study, we modeled the aerosol particle formation along air mass trajectories arriving at the remote Arctic research stations Gruvebadet (67 m a.s.l.) and Zeppelin (474 m a.s.l.), Ny-Ålesund, during May 2018. The aim of this study was to improve our understanding of processes governing secondary aerosol formation in remote Arctic marine environments. We run the Lagrangian chemistry transport model ADCHEM, along air mass trajectories generated with FLEXPART v10.4. The air masses arriving at Ny-Ålesund spent most of their time over the open ice-free ocean. In order to capture the secondary aerosol formation from the DMS emitted by phytoplankton from the ocean surface, we implemented a recently developed comprehensive DMS and halogen multi-phase oxidation chemistry scheme, coupled with the widely used Master Chemical Mechanism (MCM). The modeled median particle number size distributions are in close agreement with the observations in the marine-influenced boundary layer near-sea-surface Gruvebadet site. However, while the model reproduces the accumulation mode particle number concentrations at Zeppelin, it overestimates the Aitken mode particle number concentrations by a factor of ∼5.5 . We attribute this to the deficiency of the model to capture the complex orographic effects on the boundary layer dynamics at Ny-Ålesund. However, the model reproduces the average vertical particle number concentration profiles within the boundary layer (0–600 m a.s.l.) above Gruvebadet, as measured with condensation particle counters (CPCs) on board an unmanned aircraft system (UAS). The model successfully reproduces the observed Hoppel minima, often seen in particle number size distributions at Ny-Ålesund. The model also supports the previous experimental findings that ion-mediated H 2 SO 4 –NH 3 nucleation can explain the observed new particle formation in the marine Arctic boundary layer in the vicinity of Ny-Ålesund. Precursors resulting from gas- and aqueous-phase DMS chemistry contribute to the subsequent growth of the ... |
format |
Text |
author |
Xavier, Carlton Baykara, Metin Wollesen de Jonge, Robin Altstädter, Barbara Clusius, Petri Vakkari, Ville Thakur, Roseline Beck, Lisa Becagli, Silvia Severi, Mirko Traversi, Rita Krejci, Radovan Tunved, Peter Mazzola, Mauro Wehner, Birgit Sipilä, Mikko Kulmala, Markku Boy, Michael Roldin, Pontus |
spellingShingle |
Xavier, Carlton Baykara, Metin Wollesen de Jonge, Robin Altstädter, Barbara Clusius, Petri Vakkari, Ville Thakur, Roseline Beck, Lisa Becagli, Silvia Severi, Mirko Traversi, Rita Krejci, Radovan Tunved, Peter Mazzola, Mauro Wehner, Birgit Sipilä, Mikko Kulmala, Markku Boy, Michael Roldin, Pontus Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund |
author_facet |
Xavier, Carlton Baykara, Metin Wollesen de Jonge, Robin Altstädter, Barbara Clusius, Petri Vakkari, Ville Thakur, Roseline Beck, Lisa Becagli, Silvia Severi, Mirko Traversi, Rita Krejci, Radovan Tunved, Peter Mazzola, Mauro Wehner, Birgit Sipilä, Mikko Kulmala, Markku Boy, Michael Roldin, Pontus |
author_sort |
Xavier, Carlton |
title |
Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund |
title_short |
Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund |
title_full |
Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund |
title_fullStr |
Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund |
title_full_unstemmed |
Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund |
title_sort |
secondary aerosol formation in marine arctic environments: a model measurement comparison at ny-ålesund |
publishDate |
2022 |
url |
https://doi.org/10.5194/acp-22-10023-2022 https://acp.copernicus.org/articles/22/10023/2022/ |
long_lat |
ENVELOPE(-44.516,-44.516,-60.733,-60.733) |
geographic |
Aitken Arctic Ny-Ålesund |
geographic_facet |
Aitken Arctic Ny-Ålesund |
genre |
Arctic Ny Ålesund Ny-Ålesund Phytoplankton |
genre_facet |
Arctic Ny Ålesund Ny-Ålesund Phytoplankton |
op_source |
eISSN: 1680-7324 |
op_relation |
doi:10.5194/acp-22-10023-2022 https://acp.copernicus.org/articles/22/10023/2022/ |
op_doi |
https://doi.org/10.5194/acp-22-10023-2022 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
22 |
container_issue |
15 |
container_start_page |
10023 |
op_container_end_page |
10043 |
_version_ |
1766324396437274624 |