DataSheet_1_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.zip
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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Online Access: | https://doi.org/10.3389/fmars.2022.826421.s001 https://figshare.com/articles/dataset/DataSheet_1_Global_Synthesis_of_Air-Sea_CO2_Transfer_Velocity_Estimates_From_Ship-Based_Eddy_Covariance_Measurements_zip/20189327 |
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ftfrontimediafig:oai:figshare.com:article/20189327 2023-05-15T15:17:49+02:00 DataSheet_1_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.zip 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.s001 https://figshare.com/articles/dataset/DataSheet_1_Global_Synthesis_of_Air-Sea_CO2_Transfer_Velocity_Estimates_From_Ship-Based_Eddy_Covariance_Measurements_zip/20189327 unknown doi:10.3389/fmars.2022.826421.s001 https://figshare.com/articles/dataset/DataSheet_1_Global_Synthesis_of_Air-Sea_CO2_Transfer_Velocity_Estimates_From_Ship-Based_Eddy_Covariance_Measurements_zip/20189327 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.s001 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_1_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.zip |
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_1_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.zip |
title_short |
DataSheet_1_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.zip |
title_full |
DataSheet_1_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.zip |
title_fullStr |
DataSheet_1_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.zip |
title_full_unstemmed |
DataSheet_1_Global Synthesis of Air-Sea CO2 Transfer Velocity Estimates From Ship-Based Eddy Covariance Measurements.zip |
title_sort |
datasheet_1_global synthesis of air-sea co2 transfer velocity estimates from ship-based eddy covariance measurements.zip |
publishDate |
2022 |
url |
https://doi.org/10.3389/fmars.2022.826421.s001 https://figshare.com/articles/dataset/DataSheet_1_Global_Synthesis_of_Air-Sea_CO2_Transfer_Velocity_Estimates_From_Ship-Based_Eddy_Covariance_Measurements_zip/20189327 |
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.s001 https://figshare.com/articles/dataset/DataSheet_1_Global_Synthesis_of_Air-Sea_CO2_Transfer_Velocity_Estimates_From_Ship-Based_Eddy_Covariance_Measurements_zip/20189327 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3389/fmars.2022.826421.s001 |
_version_ |
1766348061954539520 |