DataSheet_2_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.pdf

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 ree...

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Main Authors: Mingxi Yang, Thomas G. Bell, Jean-Raymond Bidlot, Byron W. Blomquist, Brian J. Butterworth, Yuanxu Dong, Christopher W. Fairall, Sebastian Landwehr, Christa A. Marandino, Scott D. Miller, Eric S. Saltzman, Alexander Zavarsky
Format: Dataset
Language:unknown
Published: 2022
Subjects:
CO2
Online Access:https://doi.org/10.3389/fmars.2022.826421.s002
https://figshare.com/articles/dataset/DataSheet_2_Global_Synthesis_of_Air-Sea_CO2_Transfer_Velocity_Estimates_From_Ship-Based_Eddy_Covariance_Measurements_pdf/20189330
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spelling ftfrontimediafig:oai:figshare.com:article/20189330 2023-05-15T15:17:49+02:00 DataSheet_2_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.pdf Mingxi Yang Thomas G. Bell Jean-Raymond Bidlot Byron W. Blomquist Brian J. Butterworth Yuanxu Dong Christopher W. Fairall Sebastian Landwehr Christa A. Marandino Scott D. Miller Eric S. Saltzman Alexander Zavarsky 2022-06-30T04:39:34Z https://doi.org/10.3389/fmars.2022.826421.s002 https://figshare.com/articles/dataset/DataSheet_2_Global_Synthesis_of_Air-Sea_CO2_Transfer_Velocity_Estimates_From_Ship-Based_Eddy_Covariance_Measurements_pdf/20189330 unknown doi:10.3389/fmars.2022.826421.s002 https://figshare.com/articles/dataset/DataSheet_2_Global_Synthesis_of_Air-Sea_CO2_Transfer_Velocity_Estimates_From_Ship-Based_Eddy_Covariance_Measurements_pdf/20189330 CC BY 4.0 CC-BY Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering air-sea exchange gas exchange eddy covariance (EC) CO2 transfer velocity waves Dataset 2022 ftfrontimediafig https://doi.org/10.3389/fmars.2022.826421.s002 2022-07-06T23:10:34Z 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 + 76.67u*+ 20.48u*2 or 0.36 + 1.203U10n+ 0.167U10n2) 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 U10n2 dependence with zero intercept (e.g., dual tracer) are likely underestimated at relatively low wind speeds. Dataset Arctic North Atlantic Southern Ocean Frontiers: Figshare Arctic Southern Ocean
institution Open Polar
collection Frontiers: Figshare
op_collection_id ftfrontimediafig
language unknown
topic Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
air-sea exchange
gas exchange
eddy covariance (EC)
CO2
transfer velocity
waves
spellingShingle Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
air-sea exchange
gas exchange
eddy covariance (EC)
CO2
transfer velocity
waves
Mingxi Yang
Thomas G. Bell
Jean-Raymond Bidlot
Byron W. Blomquist
Brian J. Butterworth
Yuanxu Dong
Christopher W. Fairall
Sebastian Landwehr
Christa A. Marandino
Scott D. Miller
Eric S. Saltzman
Alexander Zavarsky
DataSheet_2_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.pdf
topic_facet Oceanography
Marine Biology
Marine Geoscience
Biological Oceanography
Chemical Oceanography
Physical Oceanography
Marine Engineering
air-sea exchange
gas exchange
eddy covariance (EC)
CO2
transfer velocity
waves
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 + 76.67u*+ 20.48u*2 or 0.36 + 1.203U10n+ 0.167U10n2) 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 U10n2 dependence with zero intercept (e.g., dual tracer) are likely underestimated at relatively low wind speeds.
format Dataset
author Mingxi Yang
Thomas G. Bell
Jean-Raymond Bidlot
Byron W. Blomquist
Brian J. Butterworth
Yuanxu Dong
Christopher W. Fairall
Sebastian Landwehr
Christa A. Marandino
Scott D. Miller
Eric S. Saltzman
Alexander Zavarsky
author_facet Mingxi Yang
Thomas G. Bell
Jean-Raymond Bidlot
Byron W. Blomquist
Brian J. Butterworth
Yuanxu Dong
Christopher W. Fairall
Sebastian Landwehr
Christa A. Marandino
Scott D. Miller
Eric S. Saltzman
Alexander Zavarsky
author_sort Mingxi Yang
title DataSheet_2_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.pdf
title_short DataSheet_2_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.pdf
title_full DataSheet_2_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.pdf
title_fullStr DataSheet_2_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.pdf
title_full_unstemmed DataSheet_2_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.pdf
title_sort datasheet_2_global synthesis of air-sea co2 transfer velocity estimates from ship-based eddy covariance measurements.pdf
publishDate 2022
url https://doi.org/10.3389/fmars.2022.826421.s002
https://figshare.com/articles/dataset/DataSheet_2_Global_Synthesis_of_Air-Sea_CO2_Transfer_Velocity_Estimates_From_Ship-Based_Eddy_Covariance_Measurements_pdf/20189330
geographic Arctic
Southern Ocean
geographic_facet Arctic
Southern Ocean
genre Arctic
North Atlantic
Southern Ocean
genre_facet Arctic
North Atlantic
Southern Ocean
op_relation doi:10.3389/fmars.2022.826421.s002
https://figshare.com/articles/dataset/DataSheet_2_Global_Synthesis_of_Air-Sea_CO2_Transfer_Velocity_Estimates_From_Ship-Based_Eddy_Covariance_Measurements_pdf/20189330
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/fmars.2022.826421.s002
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