Journal article

Air-sea heat and momentum fluxes in the Southern Ocean

Vidhi Bharti, Christopher Fairall, Byron Blomquist, Yi Huang, Alain Protat, Peter Sullivan, Steven Siems, Michael Manton

Journal of Geophysical Research: Atmospheres | American Geophysical Union | Published : 2019

Abstract

The Clouds, Aerosols, Precipitation, Radiation, and atmospheric Composition Over the southeRn oceaN (CAPRICORN) experiment was carried out in March-April 2016 onboard R/V Investigator studying momentum (τ), sensible heat (Hs) and latent heat (Hi) fluxes over the Australian sector of the Southern Ocean including over one cyclonic cold-core and one anticyclonic warm-core mesoscale oceanic eddy. The turbulence-based flux measurements obtained with the NOAA PSD flux system employing eddy covariance (EC) and inertial dissipation (ID) methods are compared with those obtained by the Coupled Ocean-Atmosphere Response Experiment (COARE) 3.5 bulk model, and the neutral transfer coefficients are studie..

View full abstract

University of Melbourne Researchers

Grants

Awarded by ARC Centre of Excellence for Climate System Science


Funding Acknowledgements

This research is supported by ARC Centre of Excellence for Climate System Science (grant DP150102894). PSD participation was supported by NOAA's Climate Program Office, Climate Observation Division. All the data used are listed in the references. The authors wish to thank the CSIRO Marine National Facility (MNF) for its grant of sea time on "Investigator" and associated personnel, scientific equipment, and data management. Finally, we would like to acknowledge the crucial roles played by Tom Trull (CSIRO), the lead chief scientist, Tegan Sime, the MNF voyage manager, and the Investigator crew to make this research voyage a success. The first author thanks the Editor, reviewer James Edson, and one anonymous reviewer for their extensive and constructive comments on an earlier version of this manuscript, which had helped us to improve the quality of this research article. CAPRICORN 2016 data archive is available from NOAA (gov.noaa.nodc:0170257).