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dc.contributor.authorZhang, Yanwu  Concept link
dc.contributor.authorKieft, Brian  Concept link
dc.contributor.authorHobson, Brett W.  Concept link
dc.contributor.authorRyan, John P.  Concept link
dc.contributor.authorBarone, Benedetto  Concept link
dc.contributor.authorPreston, Christina M.  Concept link
dc.contributor.authorRoman, Brent  Concept link
dc.contributor.authorRaanan, Ben-Yair  Concept link
dc.contributor.authorMarin, Roman  Concept link
dc.contributor.authorO’Reilly, Thomas C.  Concept link
dc.contributor.authorRueda, Carlos A.  Concept link
dc.contributor.authorPargett, Douglas  Concept link
dc.contributor.authorYamahara, Kevan M.  Concept link
dc.contributor.authorPoulos, Steve  Concept link
dc.contributor.authorRomano, Anna  Concept link
dc.contributor.authorForeman, Gabe  Concept link
dc.contributor.authorRamm, Hans  Concept link
dc.contributor.authorWilson, Samuel T.  Concept link
dc.contributor.authorDeLong, Edward F.  Concept link
dc.contributor.authorKarl, David M.  Concept link
dc.contributor.authorBirch, James M.  Concept link
dc.contributor.authorBellingham, James G.  Concept link
dc.contributor.authorScholin, Christopher A.  Concept link
dc.date.accessioned2020-12-09T17:13:18Z
dc.date.available2020-12-09T17:13:18Z
dc.date.issued2020-10-13
dc.identifier.citationZhang, 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.urihttps://hdl.handle.net/1912/26459
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.abstractPhytoplankton 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.sponsorship10.13039/501100008982 - 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 Foundationen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.urihttps://doi.org/10.1109/JOE.2019.2920217
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAutonomous underwater vehicle (AUV)en_US
dc.subjecteddyen_US
dc.subjectEnvironmental Sample Processor (ESP)en_US
dc.subjectphytoplanktonen_US
dc.subjectsamplingen_US
dc.subjecttrackingen_US
dc.titleAutonomous tracking and sampling of the deep chlorophyll maximum layer in an open-ocean eddy by a long-range autonomous underwater vehicleen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JOE.2019.2920217


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International