Using eddy covariance to measure the dependence of air–sea CO2 exchange rate on friction velocity

Landwehr, S; Miller, SD; Smith, MJ; Bell, TG; Saltzman, ES; Ward, B. 2018 Using eddy covariance to measure the dependence of air–sea CO2 exchange rate on friction velocity. Atmospheric Chemistry and Physics, 18 (6). 4297-4315. https://doi.org/10.5194/acp-18-4297-2018

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Abstract/Summary

Parameterisation of the air–sea gas transfer velocity of CO2 and other trace gases under open-ocean conditions has been a focus of air–sea interaction research and is required for accurately determining ocean carbon uptake. Ships are the most widely used platform for air–sea flux measurements but the quality of the data can be compromised by airflow distortion and sensor cross-sensitivity effects. Recent improvements in the understanding of these effects have led to enhanced corrections to the shipboard eddy covariance (EC) measurements. Here, we present a revised analysis of eddy covariance measurements of air–sea CO2 and momentum fluxes from the Southern Ocean Surface Ocean Aerosol Production (SOAP) study. We show that it is possible to significantly reduce the scatter in the EC data and achieve consistency between measurements taken on station and with the ship underway. The gas transfer velocities from the EC measurements correlate better with the EC friction velocity (u*) than with mean wind speeds derived from shipboard measurements corrected with an airflow distortion model. For the observed range of wind speeds (u10 N = 3–23 m s−1), the transfer velocities can be parameterised with a linear fit to u*. The SOAP data are compared to previous gas transfer parameterisations using u10 N computed from the EC friction velocity with the drag coefficient from the Coupled Ocean–Atmosphere Response Experiment (COARE) model version 3.5. The SOAP results are consistent with previous gas transfer studies, but at high wind speeds they do not support the sharp increase in gas transfer associated with bubble-mediated transfer predicted by physically based models.

Item Type: Publication - Article
Subjects: Atmospheric Sciences
Meteorology and Climatology
Oceanography
Divisions: Plymouth Marine Laboratory > Science Areas > Marine Biochemistry and Observations
Depositing User: Dr Thomas George Bell
Date made live: 26 Apr 2018 15:08
Last Modified: 26 Apr 2018 15:08
URI: http://plymsea.ac.uk/id/eprint/7859

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