Electronic tags placed on sharks can improve regional ocean-forecast skill by up to 40 percent [1].
This development allows scientists to gather critical climate data from remote ocean regions that are typically difficult for conventional instruments to reach. By leveraging the natural movement of marine predators, researchers can better initialize models to predict weather and ocean patterns.
The study, published this month in the journal *npj Climate and Atmospheric Science*, was led by Laura H. McDonnell and Neil Hammerschlag from the University of Miami's Rosenstiel School of Marine and Atmospheric Science [1]. The researchers tagged 18 blue sharks and one mako shark [2] off the coasts of Cape Cod and Long Island in the Atlantic Ocean [2].
Each shark served as a mobile ocean-sensor platform. The electronic tags collected three primary types of data: location, temperature, and depth [3]. Because sharks traverse diverse depths and wide geographic areas, they provide a more comprehensive data set than stationary buoys or limited satellite observations.
These sensors track the movement of water masses and temperature shifts in real time. The resulting data helps refine the mathematical models used by meteorologists to forecast regional conditions. The ability to integrate biological movement with atmospheric science reduces the gaps in current oceanographic mapping, providing a clearer picture of the Atlantic's thermal structure.
The project demonstrates a shift toward using animals as active participants in environmental monitoring. By turning sharks into data collectors, the University of Miami team has found a way to extend the reach of climate science into the open sea [1].
“Electronic tags placed on sharks can improve regional ocean-forecast skill by up to 40 percent.”
The use of 'biologging' transforms marine wildlife into a decentralized network of weather stations. This approach addresses the 'data void' in the open ocean, where traditional satellite and buoy coverage is sparse. As climate change increases the volatility of ocean temperatures, integrating animal-borne sensors may become essential for early warning systems and more accurate long-term climate modeling.
