Electronic tags on sharks can collect ocean-climate data and improve regional ocean forecasts by up to 40 percent [1].
This development addresses critical gaps in climate modeling. Traditional tools like satellites, buoys, and ships often have limited coverage in specific coastal areas, leaving researchers with incomplete data on ocean behavior.
Researchers Neil Hammerschlag, Ph.D., and Laura McDonnell, Ph.D., from the University of Miami's Rosenstiel School of Marine and Atmospheric Science led the study [1, 2]. Their work, published in April 2026 [4], demonstrates that sharks can function as mobile sensors. By tracking the movements of these animals, scientists can gather essential information on water temperature, depth, and location [5, 2].
The study focused on coastal waters off Florida and other ocean regions that are typically difficult to observe [2, 6]. Because sharks move freely across various depths and distances, they provide a level of granularity that stationary equipment cannot match. This biological data allows for a more precise understanding of how ocean currents and temperatures shift over time.
According to the findings, the integration of shark-derived data can boost the accuracy of regional forecasts by as much as 40 percent [1]. This improvement is particularly significant for regions where traditional monitoring is sparse, providing a more reliable map of the marine environment.
The project highlights a growing trend in using wildlife to monitor planetary health. By leveraging the natural migratory patterns of apex predators, the team has turned biological tracking into a tool for atmospheric and oceanic science [5, 2].
“Sharks act as mobile sensors, gathering temperature, depth, and location data.”
The use of sharks as data collectors represents a shift toward 'biological sensing' to fill the gaps left by traditional hardware. By augmenting satellite and buoy data with animal-borne sensors, scientists can create more accurate climate models for coastal zones, which are often the most volatile and critical areas for predicting weather patterns and sea-level changes.
