Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements

The air-sea gas transfer velocity ( K 660 ) is typically assessed as a function of the 10-m neutral wind speed ( U 10n ), but there remains substantial uncertainty in this relationship. Here K 660 of CO 2 derived with the eddy covariance (EC) technique from eight datasets (11 research cruises) are r...

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Published in:Frontiers in Marine Science
Main Authors: Yang, Mingxi, Bell, Thomas G., Bidlot, Jean-Raymond, Blomquist, Byron W., Butterworth, Brian J., Dong, Yuanxu, Fairall, Christopher W., Landwehr, Sebastian, Marandino, Christa A., Miller, Scott D., Saltzman, Eric S., Zavarsky, Alexander
Other Authors: Natural Environment Research Council, European Space Agency
Format: Article in Journal/Newspaper
Language:unknown
Published: Frontiers Media SA 2022
Subjects:
Online Access:http://dx.doi.org/10.3389/fmars.2022.826421
https://www.frontiersin.org/articles/10.3389/fmars.2022.826421/full
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spelling crfrontiers:10.3389/fmars.2022.826421 2024-09-30T14:31:50+00:00 Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements Yang, Mingxi Bell, Thomas G. Bidlot, Jean-Raymond Blomquist, Byron W. Butterworth, Brian J. Dong, Yuanxu Fairall, Christopher W. Landwehr, Sebastian Marandino, Christa A. Miller, Scott D. Saltzman, Eric S. Zavarsky, Alexander Natural Environment Research Council Natural Environment Research Council European Space Agency 2022 http://dx.doi.org/10.3389/fmars.2022.826421 https://www.frontiersin.org/articles/10.3389/fmars.2022.826421/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Marine Science volume 9 ISSN 2296-7745 journal-article 2022 crfrontiers https://doi.org/10.3389/fmars.2022.826421 2024-09-10T04:05:57Z The air-sea gas transfer velocity ( K 660 ) is typically assessed as a function of the 10-m neutral wind speed ( U 10n ), but there remains substantial uncertainty in this relationship. Here K 660 of CO 2 derived with the eddy covariance (EC) technique from eight datasets (11 research cruises) are reevaluated with consistent consideration of solubility and Schmidt number and inclusion of the ocean cool skin effect. K 660 shows an approximately linear dependence with the friction velocity ( u * ) in moderate winds, with an overall relative standard deviation (relative standard error) of about 20% (7%). The largest relative uncertainty in K 660 occurs at low wind speeds, while the largest absolute uncertainty in K 660 occurs at high wind speeds. There is an apparent regional variation in the steepness of the K 660 - u * relationships: North Atlantic ≥ Southern Ocean > other regions (Arctic, Tropics). Accounting for sea state helps to collapse some of this regional variability in K 660 using the wave Reynolds number in very large seas and the mean squared slope of the waves in small to moderate seas. The grand average of EC-derived K 660 ( − 1.47 + 76.67 u * + 20.48 u * 2 o r 0.36 + 1.203 U 10 n + 0.167 U 10 n 2 ) is similar at moderate to high winds to widely used dual tracer-based K 660 parametrization, but consistently exceeds the dual tracer estimate in low winds, possibly in part due to the chemical enhancement in air-sea CO 2 exchange. Combining the grand average of EC-derived K 660 with the global distribution of wind speed yields a global average transfer velocity that is comparable with the global radiocarbon ( 14 C) disequilibrium, but is ~20% higher than what is implied by dual tracer parametrizations. This analysis suggests that CO 2 fluxes computed using a U 10 n 2 dependence with zero intercept (e.g., dual tracer) are likely underestimated at relatively low wind speeds. Article in Journal/Newspaper Arctic North Atlantic Southern Ocean Frontiers (Publisher) Arctic Southern Ocean Frontiers in Marine Science 9
institution Open Polar
collection Frontiers (Publisher)
op_collection_id crfrontiers
language unknown
description The air-sea gas transfer velocity ( K 660 ) is typically assessed as a function of the 10-m neutral wind speed ( U 10n ), but there remains substantial uncertainty in this relationship. Here K 660 of CO 2 derived with the eddy covariance (EC) technique from eight datasets (11 research cruises) are reevaluated with consistent consideration of solubility and Schmidt number and inclusion of the ocean cool skin effect. K 660 shows an approximately linear dependence with the friction velocity ( u * ) in moderate winds, with an overall relative standard deviation (relative standard error) of about 20% (7%). The largest relative uncertainty in K 660 occurs at low wind speeds, while the largest absolute uncertainty in K 660 occurs at high wind speeds. There is an apparent regional variation in the steepness of the K 660 - u * relationships: North Atlantic ≥ Southern Ocean > other regions (Arctic, Tropics). Accounting for sea state helps to collapse some of this regional variability in K 660 using the wave Reynolds number in very large seas and the mean squared slope of the waves in small to moderate seas. The grand average of EC-derived K 660 ( − 1.47 + 76.67 u * + 20.48 u * 2 o r 0.36 + 1.203 U 10 n + 0.167 U 10 n 2 ) is similar at moderate to high winds to widely used dual tracer-based K 660 parametrization, but consistently exceeds the dual tracer estimate in low winds, possibly in part due to the chemical enhancement in air-sea CO 2 exchange. Combining the grand average of EC-derived K 660 with the global distribution of wind speed yields a global average transfer velocity that is comparable with the global radiocarbon ( 14 C) disequilibrium, but is ~20% higher than what is implied by dual tracer parametrizations. This analysis suggests that CO 2 fluxes computed using a U 10 n 2 dependence with zero intercept (e.g., dual tracer) are likely underestimated at relatively low wind speeds.
author2 Natural Environment Research Council
Natural Environment Research Council
European Space Agency
format Article in Journal/Newspaper
author Yang, Mingxi
Bell, Thomas G.
Bidlot, Jean-Raymond
Blomquist, Byron W.
Butterworth, Brian J.
Dong, Yuanxu
Fairall, Christopher W.
Landwehr, Sebastian
Marandino, Christa A.
Miller, Scott D.
Saltzman, Eric S.
Zavarsky, Alexander
spellingShingle Yang, Mingxi
Bell, Thomas G.
Bidlot, Jean-Raymond
Blomquist, Byron W.
Butterworth, Brian J.
Dong, Yuanxu
Fairall, Christopher W.
Landwehr, Sebastian
Marandino, Christa A.
Miller, Scott D.
Saltzman, Eric S.
Zavarsky, Alexander
Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements
author_facet Yang, Mingxi
Bell, Thomas G.
Bidlot, Jean-Raymond
Blomquist, Byron W.
Butterworth, Brian J.
Dong, Yuanxu
Fairall, Christopher W.
Landwehr, Sebastian
Marandino, Christa A.
Miller, Scott D.
Saltzman, Eric S.
Zavarsky, Alexander
author_sort Yang, Mingxi
title Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements
title_short Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements
title_full Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements
title_fullStr Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements
title_full_unstemmed Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements
title_sort global synthesis of air-sea co2 transfer velocity estimates from ship-based eddy covariance measurements
publisher Frontiers Media SA
publishDate 2022
url http://dx.doi.org/10.3389/fmars.2022.826421
https://www.frontiersin.org/articles/10.3389/fmars.2022.826421/full
geographic Arctic
Southern Ocean
geographic_facet Arctic
Southern Ocean
genre Arctic
North Atlantic
Southern Ocean
genre_facet Arctic
North Atlantic
Southern Ocean
op_source Frontiers in Marine Science
volume 9
ISSN 2296-7745
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3389/fmars.2022.826421
container_title Frontiers in Marine Science
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