Autonomous tracking and sampling of the deep chlorophyll maximum layer in an open-ocean eddy by a long-range autonomous underwater vehicle

dc.contributor.author Zhang, Yanwu
dc.contributor.author Kieft, Brian
dc.contributor.author Hobson, Brett W.
dc.contributor.author Ryan, John P.
dc.contributor.author Barone, Benedetto
dc.contributor.author Preston, Christina M.
dc.contributor.author Roman, Brent
dc.contributor.author Raanan, Ben-Yair
dc.contributor.author Marin, Roman
dc.contributor.author O’Reilly, Thomas C.
dc.contributor.author Rueda, Carlos A.
dc.contributor.author Pargett, Douglas
dc.contributor.author Yamahara, Kevan M.
dc.contributor.author Poulos, Steve
dc.contributor.author Romano, Anna
dc.contributor.author Foreman, Gabe
dc.contributor.author Ramm, Hans
dc.contributor.author Wilson, Samuel T.
dc.contributor.author DeLong, Edward F.
dc.contributor.author Karl, David M.
dc.contributor.author Birch, James M.
dc.contributor.author Bellingham, James G.
dc.contributor.author Scholin, Christopher A.
dc.date.accessioned 2020-12-09T17:13:18Z
dc.date.available 2020-12-09T17:13:18Z
dc.date.issued 2020-10-13
dc.description © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Zhang, Y., Kieft, B., Hobson, B. W., Ryan, J. P., Barone, B., Preston, C. M., Roman, B., Raanan, B., Marin,Roman,,III, O'Reilly, T. C., Rueda, C. A., Pargett, D., Yamahara, K. M., Poulos, S., Romano, A., Foreman, G., Ramm, H., Wilson, S. T., DeLong, E. F., Karl, D. M., Birch, J. M., Bellingham, J. G., & Scholin, C. A. Autonomous tracking and sampling of the deep chlorophyll maximum layer in an open-ocean eddy by a long-range autonomous underwater vehicle. IEEE Journal of Oceanic Engineering, 45(4), (2020): 1308-1321, doi:10.1109/JOE.2019.2920217. en_US
dc.description.abstract Phytoplankton communities residing in the open ocean, the largest habitat on Earth, play a key role in global primary production. Through their influence on nutrient supply to the euphotic zone, open-ocean eddies impact the magnitude of primary production and its spatial and temporal distributions. It is important to gain a deeper understanding of the microbial ecology of marine ecosystems under the influence of eddy physics with the aid of advanced technologies. In March and April 2018, we deployed autonomous underwater and surface vehicles in a cyclonic eddy in the North Pacific Subtropical Gyre to investigate the variability of the microbial community in the deep chlorophyll maximum (DCM) layer. One long-range autonomous underwater vehicle (LRAUV) carrying a third-generation Environmental Sample Processor (3G-ESP) autonomously tracked and sampled the DCM layer for four days without surfacing. The sampling LRAUV's vertical position in the DCM layer was maintained by locking onto the isotherm corresponding to the chlorophyll peak. The vehicle ran on tight circles while drifting with the eddy current. This mode of operation enabled a quasi-Lagrangian time series focused on sampling the temporal variation of the DCM population. A companion LRAUV surveyed a cylindrical volume around the sampling LRAUV to monitor spatial and temporal variation in contextual water column properties. The simultaneous sampling and mapping enabled observation of DCM microbial community in its natural frame of reference. en_US
dc.description.sponsorship 10.13039/501100008982 - National Science Foundation 10.13039/100000936 - Gordon and Betty Moore Foundation 10.13039/100000008 - David and Lucile Packard Foundation 10.13039/100016377 - Schmidt Ocean Institute 10.13039/100000893 - Simons Foundation en_US
dc.identifier.citation Zhang, Y., Kieft, B., Hobson, B. W., Ryan, J. P., Barone, B., Preston, C. M., Roman, B., Raanan, B., Marin,Roman,,III, O'Reilly, T. C., Rueda, C. A., Pargett, D., Yamahara, K. M., Poulos, S., Romano, A., Foreman, G., Ramm, H., Wilson, S. T., DeLong, E. F., Karl, D. M., Birch, J. M., Bellingham, J. G., & Scholin, C. A. (2020). Autonomous tracking and sampling of the deep chlorophyll maximum layer in an open-ocean eddy by a long-range autonomous underwater vehicle. IEEE Journal of Oceanic Engineering, 45(4), 1308-1321. en_US
dc.identifier.doi 10.1109/JOE.2019.2920217
dc.identifier.uri https://hdl.handle.net/1912/26459
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.relation.uri https://doi.org/10.1109/JOE.2019.2920217
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject Autonomous underwater vehicle (AUV) en_US
dc.subject eddy en_US
dc.subject Environmental Sample Processor (ESP) en_US
dc.subject phytoplankton en_US
dc.subject sampling en_US
dc.subject tracking en_US
dc.title Autonomous tracking and sampling of the deep chlorophyll maximum layer in an open-ocean eddy by a long-range autonomous underwater vehicle en_US
dc.type Article en_US
dspace.entity.type Publication
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