Dataset: Current velocity, wave velocity, and O2, H+, and momentum flux from the ECHOES system deployed at three sites in the Florida Keys in June 2018

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.820984.1Version 1 (2020-08-17)Dataset Type:Other Field Results

Principal Investigator: Matthew H. Long (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Daniel C. McCorkle (Woods Hole Oceanographic Institution)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)

Project: Carbon Cycling in Carbonate-Dominated Benthic Ecosystems: Eddy Covariance Hydrogen Ion and Oxygen Fluxes (ECHOES Benthic Ecosystems)

Abstract

An eddy covariance system, known as ECHOES, was deployed at three sites offshore of Key Largo, Florida during June 2018. The ECHOES systems logged the three-dimensional velocity, depth, O2 optode, pH sensor, and triaxial Inertial Measurement Unit. A separate frame at each site contained a photosynthetically active radiation (PAR) sensor and a Seabird SeapHOx, measuring salinity, temperature, depth, O2, and pH. This dataset contains current velocities, wave velocities, and O2, H+, and momentum fl...

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Cite Dataset

An eddy covariance system, known as ECHOES, was deployed at three sites offshore of Key Largo, Florida during June 2018. The ECHOES systems logged the three-dimensional velocity, depth, O2 optode, pH sensor, and triaxial Inertial Measurement Unit. A separate frame at each site contained a photosynthetically active radiation (PAR) sensor and a Seabird SeapHOx, measuring salinity, temperature, depth, O2, and pH. This dataset contains current velocities, wave velocities, and O2, H+, and momentum flux.

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Methods
Berg, P., Reimers, C. E., Rosman, J. H., Huettel, M., Delgard, M. L., Reidenbach, M. A., & Özkan-Haller, T. (2015). Technical Note: Time lag correction of aquatic eddy covariance data measured in the presence of waves. Biogeosciences Discussions, 12(11), 8395–8427. doi:10.5194/bgd-12-8395-2015
Methods
Burba GG, & DJ, A. (2010). A Brief Practical Guide to Eddy Covariance Flux Measurements: Principles and Workflow Examples for Scientific and Industrial Applications. LI-COR Biosciences. https://doi.org/10.13140/RG.2.1.1626.4161
Methods
Donis, D., Holtappels, M., Noss, C., Cathalot, C., Hancke, K., Polsenaere, P., … McGinnis, D. F. (2015). An Assessment of the Precision and Confidence of Aquatic Eddy Correlation Measurements. Journal of Atmospheric and Oceanic Technology, 32(3), 642–655. doi:10.1175/jtech-d-14-00089.1
Methods
Hopkinson, B. M., King, A. C., Owen, D. P., Johnson-Roberson, M., Long, M. H., & Bhandarkar, S. M. (2020). Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks. PLOS ONE, 15(3), e0230671. doi:10.1371/journal.pone.0230671
Methods
Long, M. H., & Nicholson, D. P. (2017). Surface gas exchange determined from an aquatic eddy covariance floating platform. Limnology and Oceanography: Methods, 16(3), 145–159. doi:10.1002/lom3.10233

Long, M., McCorkle, D. (2020) Current velocity, wave velocity, and O2, H+, and momentum flux from the ECHOES system deployed at three sites in the Florida Keys in June 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-08-17 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.820984.1 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation