The influence of transformed Reynolds number suppression on gas transfer parameterizations and global DMS and CO<sub>2</sub> fluxes

<p>Eddy covariance measurements show gas transfer velocity suppression at medium to high wind speed. A wind–wave interaction described by the transformed Reynolds number is used to characterize environmental conditions favoring this suppression. We take the transformed Reynolds number paramete...

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Main Authors: A. Zavarsky, C. A. Marandino
Format: Article
Language:English
Published: Copernicus Publications 2019-02-01
Series:Atmospheric Chemistry and Physics
Online Access:https://www.atmos-chem-phys.net/19/1819/2019/acp-19-1819-2019.pdf
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author A. Zavarsky
C. A. Marandino
author_facet A. Zavarsky
C. A. Marandino
author_sort A. Zavarsky
collection DOAJ
description <p>Eddy covariance measurements show gas transfer velocity suppression at medium to high wind speed. A wind–wave interaction described by the transformed Reynolds number is used to characterize environmental conditions favoring this suppression. We take the transformed Reynolds number parameterization to review the two most cited wind speed gas transfer velocity parameterizations: <span class="cit" id="xref_text.1"><a href="#bib1.bibx12">Nightingale et al.</a> (<a href="#bib1.bibx12">2000</a>)</span> and <span class="cit" id="xref_text.2"><a href="#bib1.bibx19">Wanninkhof</a> (<a href="#bib1.bibx19">1992</a>, <a href="#bib1.bibx20">2014</a>)</span>. We propose an algorithm to adjust <span class="inline-formula"><i>k</i></span> values for the effect of gas transfer suppression and validate it with two directly measured dimethyl sulfide (DMS) gas transfer velocity data sets that experienced gas transfer suppression. We also show that the data set used in the Nightingale 2000 parameterization experienced gas transfer suppression. A compensation of the suppression effect leads to an average increase of 22&thinsp;% in the <span class="inline-formula"><i>k</i></span> vs. <span class="inline-formula"><i>u</i></span> relationship. Performing the same correction for Wanninkhof 2014 leads to an increase of 9.85&thinsp;%. Additionally, we applied our gas transfer suppression algorithm to global air–sea flux climatologies of <span class="inline-formula">CO<sub>2</sub></span> and DMS. The global application of gas transfer suppression leads to a decrease of 11&thinsp;% in DMS outgassing. We expect the magnitude of Reynolds suppression on any global air–sea gas exchange to be about 10&thinsp;%.</p>
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spelling doaj.art-360d8c41419643f890e11d6b7c9dafdc2022-12-21T18:47:42ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-02-01191819183410.5194/acp-19-1819-2019The influence of transformed Reynolds number suppression on gas transfer parameterizations and global DMS and CO<sub>2</sub> fluxesA. Zavarsky0C. A. Marandino1independent researcher, Kiel, GermanyGEOMAR Helmholtz Centre for Ocean Research, Kiel, Germany<p>Eddy covariance measurements show gas transfer velocity suppression at medium to high wind speed. A wind–wave interaction described by the transformed Reynolds number is used to characterize environmental conditions favoring this suppression. We take the transformed Reynolds number parameterization to review the two most cited wind speed gas transfer velocity parameterizations: <span class="cit" id="xref_text.1"><a href="#bib1.bibx12">Nightingale et al.</a> (<a href="#bib1.bibx12">2000</a>)</span> and <span class="cit" id="xref_text.2"><a href="#bib1.bibx19">Wanninkhof</a> (<a href="#bib1.bibx19">1992</a>, <a href="#bib1.bibx20">2014</a>)</span>. We propose an algorithm to adjust <span class="inline-formula"><i>k</i></span> values for the effect of gas transfer suppression and validate it with two directly measured dimethyl sulfide (DMS) gas transfer velocity data sets that experienced gas transfer suppression. We also show that the data set used in the Nightingale 2000 parameterization experienced gas transfer suppression. A compensation of the suppression effect leads to an average increase of 22&thinsp;% in the <span class="inline-formula"><i>k</i></span> vs. <span class="inline-formula"><i>u</i></span> relationship. Performing the same correction for Wanninkhof 2014 leads to an increase of 9.85&thinsp;%. Additionally, we applied our gas transfer suppression algorithm to global air–sea flux climatologies of <span class="inline-formula">CO<sub>2</sub></span> and DMS. The global application of gas transfer suppression leads to a decrease of 11&thinsp;% in DMS outgassing. We expect the magnitude of Reynolds suppression on any global air–sea gas exchange to be about 10&thinsp;%.</p>https://www.atmos-chem-phys.net/19/1819/2019/acp-19-1819-2019.pdf
spellingShingle A. Zavarsky
C. A. Marandino
The influence of transformed Reynolds number suppression on gas transfer parameterizations and global DMS and CO<sub>2</sub> fluxes
Atmospheric Chemistry and Physics
title The influence of transformed Reynolds number suppression on gas transfer parameterizations and global DMS and CO<sub>2</sub> fluxes
title_full The influence of transformed Reynolds number suppression on gas transfer parameterizations and global DMS and CO<sub>2</sub> fluxes
title_fullStr The influence of transformed Reynolds number suppression on gas transfer parameterizations and global DMS and CO<sub>2</sub> fluxes
title_full_unstemmed The influence of transformed Reynolds number suppression on gas transfer parameterizations and global DMS and CO<sub>2</sub> fluxes
title_short The influence of transformed Reynolds number suppression on gas transfer parameterizations and global DMS and CO<sub>2</sub> fluxes
title_sort influence of transformed reynolds number suppression on gas transfer parameterizations and global dms and co sub 2 sub fluxes
url https://www.atmos-chem-phys.net/19/1819/2019/acp-19-1819-2019.pdf
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