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 CO2 derived with the eddy covariance (EC) technique from eight datasets (11 research cruises) are reeval...

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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
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers 2022
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Online Access:https://oceanrep.geomar.de/id/eprint/56814/
https://oceanrep.geomar.de/id/eprint/56814/1/fmars_09_826421.pdf
https://www.frontiersin.org/articles/10.3389/fmars.2022.826421/full
https://doi.org/10.3389/fmars.2022.826421
id ftoceanrep:oai:oceanrep.geomar.de:56814
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spelling ftoceanrep:oai:oceanrep.geomar.de:56814 2024-02-11T10:01:45+01:00 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 2022-06-30 text https://oceanrep.geomar.de/id/eprint/56814/ https://oceanrep.geomar.de/id/eprint/56814/1/fmars_09_826421.pdf https://www.frontiersin.org/articles/10.3389/fmars.2022.826421/full https://doi.org/10.3389/fmars.2022.826421 en eng Frontiers https://oceanrep.geomar.de/id/eprint/56814/1/fmars_09_826421.pdf Yang, M., Bell, T. G., Bidlot, J. R., Blomquist, B. W., Butterworth, B. J., Dong, Y., Fairall, C. W., Landwehr, S., Marandino, C. A., Miller, S. D., Saltzman, E. S. and Zavarsky, A. (2022) Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements. Open Access Frontiers in Marine Science, 9 . Art.Nr. 826421. DOI 10.3389/fmars.2022.826421 <https://doi.org/10.3389/fmars.2022.826421>. doi:10.3389/fmars.2022.826421 cc_by_4.0 info:eu-repo/semantics/openAccess Article PeerReviewed 2022 ftoceanrep https://doi.org/10.3389/fmars.2022.826421 2024-01-15T00:25:56Z 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 CO2 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-10n + 0.167 U (2)(10n) ) 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 CO2 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 (C-14) disequilibrium, but is similar to 20% higher than what is implied by dual tracer parametrizations. This analysis suggests that CO2 fluxes computed using a U-10n (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 OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Arctic Southern Ocean Frontiers in Marine Science 9
institution Open Polar
collection OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel)
op_collection_id ftoceanrep
language English
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 CO2 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-10n + 0.167 U (2)(10n) ) 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 CO2 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 (C-14) disequilibrium, but is similar to 20% higher than what is implied by dual tracer parametrizations. This analysis suggests that CO2 fluxes computed using a U-10n (2) dependence with zero intercept (e.g., dual tracer) are likely underestimated at relatively low wind speeds.
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
publishDate 2022
url https://oceanrep.geomar.de/id/eprint/56814/
https://oceanrep.geomar.de/id/eprint/56814/1/fmars_09_826421.pdf
https://www.frontiersin.org/articles/10.3389/fmars.2022.826421/full
https://doi.org/10.3389/fmars.2022.826421
geographic Arctic
Southern Ocean
geographic_facet Arctic
Southern Ocean
genre Arctic
North Atlantic
Southern Ocean
genre_facet Arctic
North Atlantic
Southern Ocean
op_relation https://oceanrep.geomar.de/id/eprint/56814/1/fmars_09_826421.pdf
Yang, M., Bell, T. G., Bidlot, J. R., Blomquist, B. W., Butterworth, B. J., Dong, Y., Fairall, C. W., Landwehr, S., Marandino, C. A., Miller, S. D., Saltzman, E. S. and Zavarsky, A. (2022) Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements. Open Access Frontiers in Marine Science, 9 . Art.Nr. 826421. DOI 10.3389/fmars.2022.826421 <https://doi.org/10.3389/fmars.2022.826421>.
doi:10.3389/fmars.2022.826421
op_rights cc_by_4.0
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.3389/fmars.2022.826421
container_title Frontiers in Marine Science
container_volume 9
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