Pan-Arctic surface ozone: modelling vs. measurements

Within the framework of the International Arctic Systems for Observing the Atmosphere (IASOA), we report a modelling-based study on surface ozone across the Arctic. We use surface ozone from six sites – Summit (Greenland), Pallas (Finland), Barrow (USA), Alert (Canada), Tiksi (Russia), and Villum Re...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Yang, Xin, Blechschmidt, Anne-M., Bognar, Kristof, McClure-Begley, Audra, Morris, Sara, Petropavlovskikh, Irina, Richter, Andreas, Skov, Henrik, Strong, Kimberly, Tarasick, David W., Uttal, Taneil, Vestenius, Mika, Zhao, Xiaoyi
Format: Text
Language:English
Published: 2020
Subjects:
Online Access:https://doi.org/10.5194/acp-20-15937-2020
https://acp.copernicus.org/articles/20/15937/2020/
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spelling ftcopernicus:oai:publications.copernicus.org:acp81325 2023-05-15T14:48:45+02:00 Pan-Arctic surface ozone: modelling vs. measurements Yang, Xin Blechschmidt, Anne-M. Bognar, Kristof McClure-Begley, Audra Morris, Sara Petropavlovskikh, Irina Richter, Andreas Skov, Henrik Strong, Kimberly Tarasick, David W. Uttal, Taneil Vestenius, Mika Zhao, Xiaoyi 2020-12-21 application/pdf https://doi.org/10.5194/acp-20-15937-2020 https://acp.copernicus.org/articles/20/15937/2020/ eng eng doi:10.5194/acp-20-15937-2020 https://acp.copernicus.org/articles/20/15937/2020/ eISSN: 1680-7324 Text 2020 ftcopernicus https://doi.org/10.5194/acp-20-15937-2020 2020-12-28T17:22:12Z Within the framework of the International Arctic Systems for Observing the Atmosphere (IASOA), we report a modelling-based study on surface ozone across the Arctic. We use surface ozone from six sites – Summit (Greenland), Pallas (Finland), Barrow (USA), Alert (Canada), Tiksi (Russia), and Villum Research Station (VRS) at Station Nord (North Greenland, Danish realm) – and ozone-sonde data from three Canadian sites: Resolute, Eureka, and Alert. Two global chemistry models – a global chemistry transport model (parallelised-Tropospheric Offline Model of Chemistry and Transport, p-TOMCAT) and a global chemistry climate model (United Kingdom Chemistry and Aerosol, UKCA) – are used for model data comparisons. Remotely sensed data of BrO from the GOME-2 satellite instrument and ground-based multi-axis differential optical absorption spectroscopy (MAX-DOAS) at Eureka, Canada, are used for model validation. The observed climatology data show that spring surface ozone at coastal sites is heavily depleted, making ozone seasonality at Arctic coastal sites distinctly different from that at inland sites. Model simulations show that surface ozone can be greatly reduced by bromine chemistry. In April, bromine chemistry can cause a net ozone loss (monthly mean) of 10–20 ppbv, with almost half attributable to open-ocean-sourced bromine and the rest to sea-ice-sourced bromine. However, the open-ocean-sourced bromine, via sea spray bromide depletion, cannot by itself produce ozone depletion events (ODEs; defined as ozone volume mixing ratios, VMRs, < 10 ppbv). In contrast, sea-ice-sourced bromine, via sea salt aerosol (SSA) production from blowing snow, can produce ODEs even without bromine from sea spray, highlighting the importance of sea ice surface in polar boundary layer chemistry. Modelled total inorganic bromine (Br Y ) over the Arctic sea ice is sensitive to model configuration; e.g. under the same bromine loading, Br Y in the Arctic spring boundary layer in the p-TOMCAT control run (i.e. with all bromine emissions) can be 2 times that in the UKCA control run. Despite the model differences, both model control runs can successfully reproduce large bromine explosion events (BEEs) and ODEs in polar spring. Model-integrated tropospheric-column BrO generally matches GOME-2 tropospheric columns within ∼ 50 % in UKCA and a factor of 2 in p-TOMCAT. The success of the models in reproducing both ODEs and BEEs in the Arctic indicates that the relevant parameterizations implemented in the models work reasonably well, which supports the proposed mechanism of SSA production and bromide release on sea ice. Given that sea ice is a large source of SSA and halogens, changes in sea ice type and extent in a warming climate will influence Arctic boundary layer chemistry, including the oxidation of atmospheric elemental mercury. Note that this work dose not necessary rule out other possibilities that may act as a source of reactive bromine from the sea ice zone. Text Arctic Greenland North Greenland Sea ice Tiksi Copernicus Publications: E-Journals Arctic Canada Eureka ENVELOPE(-85.940,-85.940,79.990,79.990) Greenland Station Nord ENVELOPE(-16.663,-16.663,81.599,81.599) Tiksi ENVELOPE(128.867,128.867,71.633,71.633) Atmospheric Chemistry and Physics 20 24 15937 15967
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Within the framework of the International Arctic Systems for Observing the Atmosphere (IASOA), we report a modelling-based study on surface ozone across the Arctic. We use surface ozone from six sites – Summit (Greenland), Pallas (Finland), Barrow (USA), Alert (Canada), Tiksi (Russia), and Villum Research Station (VRS) at Station Nord (North Greenland, Danish realm) – and ozone-sonde data from three Canadian sites: Resolute, Eureka, and Alert. Two global chemistry models – a global chemistry transport model (parallelised-Tropospheric Offline Model of Chemistry and Transport, p-TOMCAT) and a global chemistry climate model (United Kingdom Chemistry and Aerosol, UKCA) – are used for model data comparisons. Remotely sensed data of BrO from the GOME-2 satellite instrument and ground-based multi-axis differential optical absorption spectroscopy (MAX-DOAS) at Eureka, Canada, are used for model validation. The observed climatology data show that spring surface ozone at coastal sites is heavily depleted, making ozone seasonality at Arctic coastal sites distinctly different from that at inland sites. Model simulations show that surface ozone can be greatly reduced by bromine chemistry. In April, bromine chemistry can cause a net ozone loss (monthly mean) of 10–20 ppbv, with almost half attributable to open-ocean-sourced bromine and the rest to sea-ice-sourced bromine. However, the open-ocean-sourced bromine, via sea spray bromide depletion, cannot by itself produce ozone depletion events (ODEs; defined as ozone volume mixing ratios, VMRs, < 10 ppbv). In contrast, sea-ice-sourced bromine, via sea salt aerosol (SSA) production from blowing snow, can produce ODEs even without bromine from sea spray, highlighting the importance of sea ice surface in polar boundary layer chemistry. Modelled total inorganic bromine (Br Y ) over the Arctic sea ice is sensitive to model configuration; e.g. under the same bromine loading, Br Y in the Arctic spring boundary layer in the p-TOMCAT control run (i.e. with all bromine emissions) can be 2 times that in the UKCA control run. Despite the model differences, both model control runs can successfully reproduce large bromine explosion events (BEEs) and ODEs in polar spring. Model-integrated tropospheric-column BrO generally matches GOME-2 tropospheric columns within ∼ 50 % in UKCA and a factor of 2 in p-TOMCAT. The success of the models in reproducing both ODEs and BEEs in the Arctic indicates that the relevant parameterizations implemented in the models work reasonably well, which supports the proposed mechanism of SSA production and bromide release on sea ice. Given that sea ice is a large source of SSA and halogens, changes in sea ice type and extent in a warming climate will influence Arctic boundary layer chemistry, including the oxidation of atmospheric elemental mercury. Note that this work dose not necessary rule out other possibilities that may act as a source of reactive bromine from the sea ice zone.
format Text
author Yang, Xin
Blechschmidt, Anne-M.
Bognar, Kristof
McClure-Begley, Audra
Morris, Sara
Petropavlovskikh, Irina
Richter, Andreas
Skov, Henrik
Strong, Kimberly
Tarasick, David W.
Uttal, Taneil
Vestenius, Mika
Zhao, Xiaoyi
spellingShingle Yang, Xin
Blechschmidt, Anne-M.
Bognar, Kristof
McClure-Begley, Audra
Morris, Sara
Petropavlovskikh, Irina
Richter, Andreas
Skov, Henrik
Strong, Kimberly
Tarasick, David W.
Uttal, Taneil
Vestenius, Mika
Zhao, Xiaoyi
Pan-Arctic surface ozone: modelling vs. measurements
author_facet Yang, Xin
Blechschmidt, Anne-M.
Bognar, Kristof
McClure-Begley, Audra
Morris, Sara
Petropavlovskikh, Irina
Richter, Andreas
Skov, Henrik
Strong, Kimberly
Tarasick, David W.
Uttal, Taneil
Vestenius, Mika
Zhao, Xiaoyi
author_sort Yang, Xin
title Pan-Arctic surface ozone: modelling vs. measurements
title_short Pan-Arctic surface ozone: modelling vs. measurements
title_full Pan-Arctic surface ozone: modelling vs. measurements
title_fullStr Pan-Arctic surface ozone: modelling vs. measurements
title_full_unstemmed Pan-Arctic surface ozone: modelling vs. measurements
title_sort pan-arctic surface ozone: modelling vs. measurements
publishDate 2020
url https://doi.org/10.5194/acp-20-15937-2020
https://acp.copernicus.org/articles/20/15937/2020/
long_lat ENVELOPE(-85.940,-85.940,79.990,79.990)
ENVELOPE(-16.663,-16.663,81.599,81.599)
ENVELOPE(128.867,128.867,71.633,71.633)
geographic Arctic
Canada
Eureka
Greenland
Station Nord
Tiksi
geographic_facet Arctic
Canada
Eureka
Greenland
Station Nord
Tiksi
genre Arctic
Greenland
North Greenland
Sea ice
Tiksi
genre_facet Arctic
Greenland
North Greenland
Sea ice
Tiksi
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-20-15937-2020
https://acp.copernicus.org/articles/20/15937/2020/
op_doi https://doi.org/10.5194/acp-20-15937-2020
container_title Atmospheric Chemistry and Physics
container_volume 20
container_issue 24
container_start_page 15937
op_container_end_page 15967
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