OceanCubes: An Affordable Cabled Observatory System for Integrated Long-Term, High Frequency Biological, Chemical, and Physical Measurements for Understanding Coastal Ecosystems
OceanCubes: An Affordable Cabled Observatory System for Integrated Long-Term, High Frequency Biological, Chemical, and Physical Measurements for Understanding Coastal Ecosystems
Abstract:
Understanding how coastal ocean processes are forcing and/or responding to ecosystem change is a central premise in current oceanographic research and monitoring. A distributed, high capacity observing capability is necessary to address biological processes requiring high frequency observations on short ( turbulence, internal waves), moderate (typhoons), and decadal time scales (e.g., NAO, El Nino-SO, PDO). The current belief that ocean observing systems need to be expensive, large, difficult to deploy and limited in capacity was tested by developing OceanCubes, an end-to-end cabled observational system with real-time telemetry, state-of-the-art sensor packages, high level of expandability, and diver maintained to reduce operating costs. A modular approach allows for a scalable system that can grow over time to accommodate budgets. The control volume design allows for measurement of material flux and energy from the water column to the benthos at a rate of s-1. The sensor package is connected by electro-optical cable to shore providing the capability for internet-based teleoperation by scientists world-wide. The central node provides underwater mateable connections for > 22 serial and Ethernet-based sensors (CTD, four ADCPs, chlorophyll and CDOM fluorescence, O2, nitrate, pCO2, pH, a bio-optical package, a Continuous Plankton Imaging and Classification Sensor (CPICS) for mesoplankton, a pan and tilt webcam, and two stereo cameras to observe and track fish communities. ADCPs and temperature strings mark the corners of the 162,000 m3 control volume. Disparate data streams are remotely archived, correlated, and analyzed while plankton and fish are identified using state-of-the-art machine vision and learning techniques. Two OceanCubes have been installed in Japan (Okinawa and Oshima Island, Tokyo) and have survived several typhoon seasons. Two additional systems are planned for either side of the Panamanian Isthmus. Results of these systems will be discussed.
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