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Autonomous Tracking and Sampling of the Deep Chlorophyll Maximum Layer in an Open-Ocean Eddy by a Long-Range Autonomous Underwater Vehicle

Authors :
James G. Bellingham
David M. Karl
Brian Kieft
Douglas Pargett
Yanwu Zhang
John P. Ryan
Christina M. Preston
Christopher A. Scholin
James M. Birch
Brent Roman
Ben-Yair Raanan
Kevan M. Yamahara
Roman Marin
Gabe Foreman
Anna E. Romano
Samuel T. Wilson
Steve Poulos
Edward F. DeLong
Hans Ramm
Carlos Rueda
Benedetto Barone
Brett Hobson
Thomas C. O'Reilly
Source :
IEEE Journal of Oceanic Engineering. 45:1308-1321
Publication Year :
2020
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2020.

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.

Details

ISSN :
23737786 and 03649059
Volume :
45
Database :
OpenAIRE
Journal :
IEEE Journal of Oceanic Engineering
Accession number :
edsair.doi...........70715accdf37b88d703f91c99cd5225f
Full Text :
https://doi.org/10.1109/joe.2019.2920217