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Article
Development of a New Lagrangian Float for Studying Coastal Marine Ecosystems
Graduate School of Oceanography Faculty Publications
  • Alex Schwithal, University of Rhode Island
  • Chris Roman, University of Rhode Island
Document Type
Article
Date of Original Version
5-1-2009
Department
Oceanography
Abstract

This paper presents an overview and initial testing results for a shallow water Lagrangian float designed to operate in coastal settings. The presented effort addresses the two main characteristics of the shallow coastal environment that preclude the direct of use of many successfully deep water floats, namely the higher variation of water densities near the coast compared with the open ocean and the highly varied bathymetry. Our idea is to develop a high capacity dynamic auto-ballasting system that is able to compensate for the expected seawater density variation over a broad range of water temperatures and salinities while using measurements of both pressure and altitude above the bottom. The major components of the float consist of a Netburner micro processor, rechargeable lithium ion battery system, piston style volume changing mechanism, sensors for pressure and altitude, and a safely system for recovery and emergency conditions. Results are presented for field tests that verify the performance of the float for a variety of behaviors that are of general utility for both water tracking an profile sampling.

Publisher Statement

(c) 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

Citation Information

Schwithal, A., & Roman, C. (2009). Development of a new Lagrangian float for studying coastal marine ecosystems. OCEANS 2009 - EUROPE, pp. 1-6, 11-14 May.

Available at: http://dx.doi.org/10.1109/OCEANSE.2009.5278296