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Autonomous Targeted Sampling of the Deep Chlorophyll Maximum Layer in a Subtropical North Pacific Eddy

James M. Birch, Roman Marin, Thomas C. O’Reilly, Douglas Pargett, Steve Poulos, Christina M. Preston, Hans Ramm, Brent Roman, Alessandro Romano, John P. Ryan, Christopher A. Scholin, Benedetto Barone, William Ussler, Samuel T. Wilson, Kevan M. Yamahara, Yanwu Zhang, Edward F. DeLong, Gary Foreman, K. Gomes, Brett Hobson

发表年份
2018
引用次数
7

摘要

The overarching logistical challenge in microbial oceanography is acquiring enough samples to provide meaningful scientific interpretation. The number of samples collected during ship expeditions is limited by weather, time on station, and budget. Here we describe a robotic, autonomous vehicle platform equipped with a unique sampling instrument that mitigates some of these constraints. In a joint cruise on the R/V Falkor, the Monterey Bay Aquarium Research Institute and the University of Hawaii deployed two of these vehicles in a mesoscale eddy north of the island of Maui. One vehicle collected contextual measurements while circling a freely drifting sampling vehicle. On the sampling vehicle we implemented several behaviors, including sampling every three hours for a 4-day underwater drift while maintaining position within the deep chlorophyll maximum layer (~100m). Results demonstrate the ability to remain with features of interest and point to an exciting future of long-term, directed, persistent sampling.

关键词

Sampling (signal processing)Mesoscale meteorologyCruiseBayOceanographyEnvironmental scienceMarine engineeringChlorophyll aMeteorologyComputer science

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