Observations and modelling of glyoxal in the tropical Atlantic marine boundary layer
<p>In situ field measurements of glyoxal at the surface in the tropical marine boundary layer have been made with a temporal resolution of a few minutes during two 4-week campaigns in June–July and August–September 2014 at the Cape Verde Atmospheric Observatory (CVAO; 16<span class="in...
Main Authors: | , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2022-04-01
|
Series: | Atmospheric Chemistry and Physics |
Online Access: | https://acp.copernicus.org/articles/22/5535/2022/acp-22-5535-2022.pdf |
_version_ | 1818047795086491648 |
---|---|
author | H. Walker H. Walker D. Stone T. Ingham T. Ingham S. Hackenberg D. Cryer S. Punjabi K. Read K. Read J. Lee J. Lee L. Whalley L. Whalley D. V. Spracklen L. J. Carpenter S. R. Arnold D. E. Heard |
author_facet | H. Walker H. Walker D. Stone T. Ingham T. Ingham S. Hackenberg D. Cryer S. Punjabi K. Read K. Read J. Lee J. Lee L. Whalley L. Whalley D. V. Spracklen L. J. Carpenter S. R. Arnold D. E. Heard |
author_sort | H. Walker |
collection | DOAJ |
description | <p>In situ field measurements of glyoxal at the surface in the tropical marine
boundary layer have been made with a temporal resolution of a few minutes
during two 4-week campaigns in June–July and August–September 2014 at the
Cape Verde Atmospheric Observatory (CVAO; 16<span class="inline-formula"><sup>∘</sup></span>52<span class="inline-formula"><sup>′</sup></span> N, 24<span class="inline-formula"><sup>∘</sup></span>52<span class="inline-formula"><sup>′</sup></span> W). Using laser-induced phosphorescence spectroscopy with an
instrumental detection limit of <span class="inline-formula">∼1</span> pptv (1 h averaging),
volume mixing ratios up to <span class="inline-formula">∼10</span> pptv were observed, with 24 h averaged mixing ratios of 4.9 and 6.3 pptv observed during the
first and second campaigns, respectively. Some diel behaviour was observed,
but this was not marked. A box model using the detailed Master Chemical
Mechanism (version 3.2) and constrained with detailed observations of a
suite of species co-measured at the observatory was used to calculate
glyoxal mixing ratios. There is a general model underestimation of the
glyoxal observations during both campaigns, with mean midday (11:00–13:00) observed-to-modelled ratios for glyoxal of 3.2 and 4.2 for the two
campaigns, respectively, and higher ratios at night. A rate of production
analysis shows the dominant sources of glyoxal in this environment to be the
reactions of OH with glycolaldehyde and acetylene, with a significant
contribution from the reaction of OH with the peroxide HC(O)CH<span class="inline-formula"><sub>2</sub></span>OOH,
which itself derives from OH oxidation of acetaldehyde. Increased mixing
ratios of acetaldehyde, which is unconstrained and potentially
underestimated in the base model, can significantly improve the agreement
between the observed and modelled glyoxal during the day. Mean midday
observed-to-modelled glyoxal ratios decreased to 1.3 and 1.8 for campaigns 1
and 2, respectively, on constraint to a fixed acetaldehyde mixing ratio of
200 pptv, which is consistent with recent airborne measurements near CVAO.
However, a significant model under-prediction remains at night. The model
showed limited sensitivity to changes in deposition rates of model
intermediates and the uptake of glyoxal onto aerosol compared with
sensitivity to uncertainties in chemical precursors. The midday (11:00–13:00)
mean modelled glyoxal mixing ratio decreased by factors of 0.87 and 0.90 on
doubling the deposition rates of model intermediates and aerosol uptake of
glyoxal, respectively, and increased by factors of 1.10 and 1.06 on halving
the deposition rates of model intermediates and aerosol uptake of glyoxal,
respectively. Although measured levels of monoterpenes at the site (total of
<span class="inline-formula">∼1</span> pptv) do not significantly influence the model calculated
levels of glyoxal, transport of air from a source region with high
monoterpene emissions to the site has the potential to give elevated mixing
ratios of glyoxal from monoterpene oxidation products, but the values are
highly sensitive to the deposition rates of these oxidised intermediates. A
source of glyoxal derived from production in the ocean surface organic
microlayer cannot be ruled out on the basis of this work and may be
significant at night.</p> |
first_indexed | 2024-12-10T10:11:28Z |
format | Article |
id | doaj.art-854494af86044000b3d0a09110fe7680 |
institution | Directory Open Access Journal |
issn | 1680-7316 1680-7324 |
language | English |
last_indexed | 2024-12-10T10:11:28Z |
publishDate | 2022-04-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Atmospheric Chemistry and Physics |
spelling | doaj.art-854494af86044000b3d0a09110fe76802022-12-22T01:53:06ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242022-04-01225535555710.5194/acp-22-5535-2022Observations and modelling of glyoxal in the tropical Atlantic marine boundary layerH. Walker0H. Walker1D. Stone2T. Ingham3T. Ingham4S. Hackenberg5D. Cryer6S. Punjabi7K. Read8K. Read9J. Lee10J. Lee11L. Whalley12L. Whalley13D. V. Spracklen14L. J. Carpenter15S. R. Arnold16D. E. Heard17School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UKSchool of Chemistry, University of Leeds, Leeds, LS2 9JT, UKSchool of Chemistry, University of Leeds, Leeds, LS2 9JT, UKSchool of Chemistry, University of Leeds, Leeds, LS2 9JT, UKNational Centre for Atmospheric Science, School of Chemistry, University of Leeds, Leeds, LS2 9JT, UKWolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, Heslington, York, YO10 5DD, UKSchool of Chemistry, University of Leeds, Leeds, LS2 9JT, UKWolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, Heslington, York, YO10 5DD, UKWolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, Heslington, York, YO10 5DD, UKNational Centre for Atmospheric Science, Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, Heslington, York, YO10 5DD, UKWolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, Heslington, York, YO10 5DD, UKNational Centre for Atmospheric Science, Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, Heslington, York, YO10 5DD, UKSchool of Chemistry, University of Leeds, Leeds, LS2 9JT, UKNational Centre for Atmospheric Science, School of Chemistry, University of Leeds, Leeds, LS2 9JT, UKSchool of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UKWolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, Heslington, York, YO10 5DD, UKSchool of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UKSchool of Chemistry, University of Leeds, Leeds, LS2 9JT, UK<p>In situ field measurements of glyoxal at the surface in the tropical marine boundary layer have been made with a temporal resolution of a few minutes during two 4-week campaigns in June–July and August–September 2014 at the Cape Verde Atmospheric Observatory (CVAO; 16<span class="inline-formula"><sup>∘</sup></span>52<span class="inline-formula"><sup>′</sup></span> N, 24<span class="inline-formula"><sup>∘</sup></span>52<span class="inline-formula"><sup>′</sup></span> W). Using laser-induced phosphorescence spectroscopy with an instrumental detection limit of <span class="inline-formula">∼1</span> pptv (1 h averaging), volume mixing ratios up to <span class="inline-formula">∼10</span> pptv were observed, with 24 h averaged mixing ratios of 4.9 and 6.3 pptv observed during the first and second campaigns, respectively. Some diel behaviour was observed, but this was not marked. A box model using the detailed Master Chemical Mechanism (version 3.2) and constrained with detailed observations of a suite of species co-measured at the observatory was used to calculate glyoxal mixing ratios. There is a general model underestimation of the glyoxal observations during both campaigns, with mean midday (11:00–13:00) observed-to-modelled ratios for glyoxal of 3.2 and 4.2 for the two campaigns, respectively, and higher ratios at night. A rate of production analysis shows the dominant sources of glyoxal in this environment to be the reactions of OH with glycolaldehyde and acetylene, with a significant contribution from the reaction of OH with the peroxide HC(O)CH<span class="inline-formula"><sub>2</sub></span>OOH, which itself derives from OH oxidation of acetaldehyde. Increased mixing ratios of acetaldehyde, which is unconstrained and potentially underestimated in the base model, can significantly improve the agreement between the observed and modelled glyoxal during the day. Mean midday observed-to-modelled glyoxal ratios decreased to 1.3 and 1.8 for campaigns 1 and 2, respectively, on constraint to a fixed acetaldehyde mixing ratio of 200 pptv, which is consistent with recent airborne measurements near CVAO. However, a significant model under-prediction remains at night. The model showed limited sensitivity to changes in deposition rates of model intermediates and the uptake of glyoxal onto aerosol compared with sensitivity to uncertainties in chemical precursors. The midday (11:00–13:00) mean modelled glyoxal mixing ratio decreased by factors of 0.87 and 0.90 on doubling the deposition rates of model intermediates and aerosol uptake of glyoxal, respectively, and increased by factors of 1.10 and 1.06 on halving the deposition rates of model intermediates and aerosol uptake of glyoxal, respectively. Although measured levels of monoterpenes at the site (total of <span class="inline-formula">∼1</span> pptv) do not significantly influence the model calculated levels of glyoxal, transport of air from a source region with high monoterpene emissions to the site has the potential to give elevated mixing ratios of glyoxal from monoterpene oxidation products, but the values are highly sensitive to the deposition rates of these oxidised intermediates. A source of glyoxal derived from production in the ocean surface organic microlayer cannot be ruled out on the basis of this work and may be significant at night.</p>https://acp.copernicus.org/articles/22/5535/2022/acp-22-5535-2022.pdf |
spellingShingle | H. Walker H. Walker D. Stone T. Ingham T. Ingham S. Hackenberg D. Cryer S. Punjabi K. Read K. Read J. Lee J. Lee L. Whalley L. Whalley D. V. Spracklen L. J. Carpenter S. R. Arnold D. E. Heard Observations and modelling of glyoxal in the tropical Atlantic marine boundary layer Atmospheric Chemistry and Physics |
title | Observations and modelling of glyoxal in the tropical Atlantic marine boundary layer |
title_full | Observations and modelling of glyoxal in the tropical Atlantic marine boundary layer |
title_fullStr | Observations and modelling of glyoxal in the tropical Atlantic marine boundary layer |
title_full_unstemmed | Observations and modelling of glyoxal in the tropical Atlantic marine boundary layer |
title_short | Observations and modelling of glyoxal in the tropical Atlantic marine boundary layer |
title_sort | observations and modelling of glyoxal in the tropical atlantic marine boundary layer |
url | https://acp.copernicus.org/articles/22/5535/2022/acp-22-5535-2022.pdf |
work_keys_str_mv | AT hwalker observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT hwalker observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT dstone observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT tingham observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT tingham observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT shackenberg observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT dcryer observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT spunjabi observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT kread observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT kread observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT jlee observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT jlee observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT lwhalley observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT lwhalley observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT dvspracklen observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT ljcarpenter observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT srarnold observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer AT deheard observationsandmodellingofglyoxalinthetropicalatlanticmarineboundarylayer |