Researchers at the University of Delaware are tagging sharks with sensors to collect real-time ocean temperature and salinity data [1].

This initiative aims to fill critical gaps in oceanographic data. By using migratory animals as mobile observers, scientists can gather high-resolution information that is often difficult to obtain via traditional stationary equipment or satellite imaging.

The project focuses on two species: the shortfin mako and the blue shark [3]. These animals migrate along the Atlantic coast of the U.S., providing a roaming network of data collection points [1, 2]. The sensors attached to the sharks measure the physical properties of the water as the animals move through different depths and regions [1, 4].

This data is particularly vital for atmospheric and climate models. Ocean temperature and salinity are primary drivers of weather patterns, including the intensity and trajectory of hurricanes [1, 2]. By integrating real-time shark data into these models, researchers hope to increase the accuracy of storm forecasts and better understand long-term climate shifts [1, 5].

Traditional ocean monitoring often relies on autonomous floats or ship-based measurements, which may not cover all areas of the U.S. East Coast consistently. Sharks, however, naturally traverse these waters, acting as biological probes that can reach varied environments [4, 5]. This biological approach allows for a more dynamic mapping of the ocean's thermal structure.

Researchers are tagging sharks with sensors to collect real-time ocean temperature and salinity data.

This research represents a shift toward 'biological sensing,' where animal behavior is leveraged to monitor environmental change. By utilizing the natural migratory patterns of apex predators, scientists can obtain granular data on the ocean's heat content, which is the primary fuel for hurricanes. Improved resolution in these measurements could lead to more precise early warning systems for coastal communities.