July 27, 2021 — Tony Eliasen and Brian Amaral, the co-founders of Newport, Rhode Island-based Ocean State Sensing, are focused on sensing and mapping temperatures in the water to be able to observe and track events. (Amaral is not related to the Boston Globe reporter.)
In real time, they are able to measure and plot water temperature from the sea bed to the surface, a tracking system that they say reveals connections within the biosphere that are otherwise unknown.
Q: What does Ocean State Sensing do?
Eliasen: We are a temperature sensing services company focused on the maritime environment. We provide high-resolution, continuous, in-situ sensing services. Our goal is to improve the understanding of the dynamic shifts in our climate and oceans to affect positive change and stewardship of the marine industries and the planet.
Q: Are you conducting sensing and mapping temperatures just off Rhode Island’s coastline, or elsewhere?
Amaral: At the moment we are [focused on Rhode Island], but we have plans to conduct data collection events in multiple places. We are actively seeking collaborators, partners and funding to help us grow our services and applications. One event we are excited about is partnering with a local fisherman to tow our gear behind the boat and measure the entire water column temperature at once as the boat drives up and down Narragansett Bay.
Q: What is the difference between satellite and point-based measurements?
Amaral: Satellites provide temperature data of the surface of the ocean which for many places in the world is accurate only for the first few feet of water. It does not provide data beyond the surface. To get this data, a temperature probe is lowered into the water, and the probe records the temperature of the water touching it. This is a point-based measurement, because it is measuring the temperature at a single point in water depth, at the latitude and longitude it was lowered into the water.
We are able to measure the entire water column at once, and when we tow the equipment, we can measure swaths of data, all of which is measured continuously and in real time.