Articles | Volume 15, issue 18
https://doi.org/10.5194/acp-15-10619-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-10619-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Sep 2015
Research article |
| 25 Sep 2015
Motion-correlated flow distortion and wave-induced biases in air–sea flux measurements from ships
School of Earth and Environment, University of Leeds, Leeds, UK
M. J. Yelland
National Oceanography Centre, Southampton, UK
I. M. Brooks
School of Earth and Environment, University of Leeds, Leeds, UK
D. J. Tupman
School of Earth and Environment, University of Leeds, Leeds, UK
now at: Centre for Applied Geosciences, University of Tübingen, Germany
R. W. Pascal
National Oceanography Centre, Southampton, UK
B. I. Moat
National Oceanography Centre, Southampton, UK
S. J. Norris
School of Earth and Environment, University of Leeds, Leeds, UK
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Cited
22 citations as recorded by crossref.
- The Role of Roughness and Stability on the Momentum Flux in the Marine Atmospheric Surface Layer: A Study on the Southwestern Atlantic Ocean J. Hackerott et al. 10.1002/2017JD027994
- Arctic Summer Airmass Transformation, Surface Inversions, and the Surface Energy Budget M. Tjernström et al. 10.1175/JCLI-D-18-0216.1
- Shipborne eddy covariance observations of methane fluxes constrain Arctic sea emissions B. Thornton et al. 10.1126/sciadv.aay7934
- Meteorological and cloud conditions during the Arctic Ocean 2018 expedition J. Vüllers et al. 10.5194/acp-21-289-2021
- Estimating fine-scale changes in turbulence using the movements of a flapping flier E. Lempidakis et al. 10.1098/rsif.2022.0577
- Atmospheric Conditions during the Arctic Clouds in Summer Experiment (ACSE): Contrasting Open Water and Sea Ice Surfaces during Melt and Freeze-Up Seasons G. Sotiropoulou et al. 10.1175/JCLI-D-16-0211.1
- Evaluating Humidity and Sea Salt Disturbances on CO2 Flux Measurements E. Nilsson et al. 10.1175/JTECH-D-17-0072.1
- Automated Underway Eddy Covariance System for Air–Sea Momentum, Heat, and CO2 Fluxes in the Southern Ocean B. Butterworth & S. Miller 10.1175/JTECH-D-15-0156.1
- The Turbulent Structure of the Arctic Summer Boundary Layer During The Arctic Summer Cloud‐Ocean Study I. Brooks et al. 10.1002/2017JD027234
- Large‐eddy simulation of a warm‐air advection episode in the summer Arctic G. Sotiropoulou et al. 10.1002/qj.3316
- Natural variability in air–sea gas transfer efficiency of CO2 M. Yang et al. 10.1038/s41598-021-92947-w
- Wind, Convection and Fetch Dependence of Gas Transfer Velocity in an Arctic Sea‐Ice Lead Determined From Eddy Covariance CO2 Flux Measurements J. Prytherch & M. Yelland 10.1029/2020GB006633
- Comparison of Direct Covariance Flux Measurements from an Offshore Tower and a Buoy M. Flügge et al. 10.1175/JTECH-D-15-0109.1
- Central Arctic weather forecasting: Confronting theECMWF IFSwith observations from the Arctic Ocean 2018 expedition M. Tjernström et al. 10.1002/qj.3971
- Comparison of two closed-path cavity-based spectrometers for measuring air–water CO<sub>2</sub> and CH<sub>4</sub> fluxes by eddy covariance M. Yang et al. 10.5194/amt-9-5509-2016
- Measurement of wind profiles by motion-stabilised ship-borne Doppler lidar P. Achtert et al. 10.5194/amt-8-4993-2015
- Confronting Arctic Troposphere, Clouds, and Surface Energy Budget Representations in Regional Climate Models With Observations J. Sedlar et al. 10.1029/2019JD031783
- Ship-based estimates of momentum transfer coefficient over sea ice and recommendations for its parameterization P. Srivastava et al. 10.5194/acp-22-4763-2022
- Gradient flux measurements of sea–air DMS transfer during the Surface Ocean Aerosol Production (SOAP) experiment M. Smith et al. 10.5194/acp-18-5861-2018
- Using eddy covariance to measure the dependence of air–sea CO<sub>2</sub> exchange rate on friction velocity S. Landwehr et al. 10.5194/acp-18-4297-2018
- Constraining the Oceanic Uptake and Fluxes of Greenhouse Gases by Building an Ocean Network of Certified Stations: The Ocean Component of the Integrated Carbon Observation System, ICOS-Oceans T. Steinhoff et al. 10.3389/fmars.2019.00544
- Air‐Sea Turbulent Fluxes From a Wave‐Following Platform During Six Experiments at Sea D. Bourras et al. 10.1029/2018JC014803
20 citations as recorded by crossref.
- The Role of Roughness and Stability on the Momentum Flux in the Marine Atmospheric Surface Layer: A Study on the Southwestern Atlantic Ocean J. Hackerott et al. 10.1002/2017JD027994
- Arctic Summer Airmass Transformation, Surface Inversions, and the Surface Energy Budget M. Tjernström et al. 10.1175/JCLI-D-18-0216.1
- Shipborne eddy covariance observations of methane fluxes constrain Arctic sea emissions B. Thornton et al. 10.1126/sciadv.aay7934
- Meteorological and cloud conditions during the Arctic Ocean 2018 expedition J. Vüllers et al. 10.5194/acp-21-289-2021
- Estimating fine-scale changes in turbulence using the movements of a flapping flier E. Lempidakis et al. 10.1098/rsif.2022.0577
- Atmospheric Conditions during the Arctic Clouds in Summer Experiment (ACSE): Contrasting Open Water and Sea Ice Surfaces during Melt and Freeze-Up Seasons G. Sotiropoulou et al. 10.1175/JCLI-D-16-0211.1
- Evaluating Humidity and Sea Salt Disturbances on CO2 Flux Measurements E. Nilsson et al. 10.1175/JTECH-D-17-0072.1
- Automated Underway Eddy Covariance System for Air–Sea Momentum, Heat, and CO2 Fluxes in the Southern Ocean B. Butterworth & S. Miller 10.1175/JTECH-D-15-0156.1
- The Turbulent Structure of the Arctic Summer Boundary Layer During The Arctic Summer Cloud‐Ocean Study I. Brooks et al. 10.1002/2017JD027234
- Large‐eddy simulation of a warm‐air advection episode in the summer Arctic G. Sotiropoulou et al. 10.1002/qj.3316
- Natural variability in air–sea gas transfer efficiency of CO2 M. Yang et al. 10.1038/s41598-021-92947-w
- Wind, Convection and Fetch Dependence of Gas Transfer Velocity in an Arctic Sea‐Ice Lead Determined From Eddy Covariance CO2 Flux Measurements J. Prytherch & M. Yelland 10.1029/2020GB006633
- Comparison of Direct Covariance Flux Measurements from an Offshore Tower and a Buoy M. Flügge et al. 10.1175/JTECH-D-15-0109.1
- Central Arctic weather forecasting: Confronting theECMWF IFSwith observations from the Arctic Ocean 2018 expedition M. Tjernström et al. 10.1002/qj.3971
- Comparison of two closed-path cavity-based spectrometers for measuring air–water CO<sub>2</sub> and CH<sub>4</sub> fluxes by eddy covariance M. Yang et al. 10.5194/amt-9-5509-2016
- Measurement of wind profiles by motion-stabilised ship-borne Doppler lidar P. Achtert et al. 10.5194/amt-8-4993-2015
- Confronting Arctic Troposphere, Clouds, and Surface Energy Budget Representations in Regional Climate Models With Observations J. Sedlar et al. 10.1029/2019JD031783
- Ship-based estimates of momentum transfer coefficient over sea ice and recommendations for its parameterization P. Srivastava et al. 10.5194/acp-22-4763-2022
- Gradient flux measurements of sea–air DMS transfer during the Surface Ocean Aerosol Production (SOAP) experiment M. Smith et al. 10.5194/acp-18-5861-2018
- Using eddy covariance to measure the dependence of air–sea CO<sub>2</sub> exchange rate on friction velocity S. Landwehr et al. 10.5194/acp-18-4297-2018
2 citations as recorded by crossref.
- Constraining the Oceanic Uptake and Fluxes of Greenhouse Gases by Building an Ocean Network of Certified Stations: The Ocean Component of the Integrated Carbon Observation System, ICOS-Oceans T. Steinhoff et al. 10.3389/fmars.2019.00544
- Air‐Sea Turbulent Fluxes From a Wave‐Following Platform During Six Experiments at Sea D. Bourras et al. 10.1029/2018JC014803
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Latest update: 20 Apr 2024
Short summary
Signals at scales associated with wave and platform motion are often apparent in ship-based turbulent flux measurements, but it has been uncertain whether this is due to measurement error or to wind-wave interactions. We show that the signal has a dependence on horizontal ship velocity and that removing the signal reduces the dependence of the momentum flux on the orientation of the ship to the wind. We conclude that the signal is a bias due to time-varying motion-dependent flow distortion.
Signals at scales associated with wave and platform motion are often apparent in ship-based...
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