Abstract:
The ocean observational community faces the challenge of needing to increase in situ observations to better observe and predict an immense volume of space, that in many areas is rapidly changing, while being constrained by flat funding levels. In response to this challenge, NOAA-PMEL is exploring innovative methods to quickly propagate and support high-quality, low-cost tools throughout our community. With a target price point under $5,000 USD, the Low Cost Profiler (LCP) is a fraction of the cost of similar profiling floats on the market today. It was developed to be easily built, configured, and deployed by air, ship or hand. The LCP can be configured pre-mission to perform in different observational roles, including drifting, timed release and moored, making it a unique tool for autonomously profiling the upper 200m of a water body. The LCP uses a direct-drive buoyancy engine to reduce mechanical complexity and incorporates OEM manufacturer calibrated sensors to enable deployments at scale. Developed as an open source technology solution, the LCP is PMEL’s first exploratory effort to reduce costs while expanding community access to high quality ocean observations through an opensource model approach
Bio:
Noah Lawrence-Slavas is the principal mechanical engineer for the NOAA’s Pacific Marine Environmental Laboratory where he leads diverse engineering teams, collaborating with principle scientific investigators, to innovate and develop new tools for scientific research. Noah is passionate about applied research and development, and he thoroughly enjoys the process of turning an idea into an operational product. Noah is particularly interested in how to rapidly develop, and scale, our ability to observe the environment by leveraging partnerships and holistic instrument design to deliver high quality, well described, and useful data directly to scientists. His current research focuses on the development of ocean carbon sensors, and expanding the spatial and temporal coverage of ocean observations through the use of robotic vehicles and small low-cost platforms.