This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: Red tide, a harmful algal bloom that produces toxins, is known for causing respiratory irritation in humans and killing fish in coastal waters. Recent research shows that the conversation is also shifting to include a more subtle neurological threat.
According to the Roskamp Institute, studies have linked red tide's airborne brevetoxins to brain fog, intensified migraines and cognitive fatigue, yet the public remains largely unaware of when these risks peak. Florida State University's Bingqing Liu is a satellite oceanographer and assistant teaching professor in the Department of Earth, Ocean and Atmospheric Science. She also serves as principal investigator at the HyperCoast Lab @ FSU and uses AI and NASA satellite technology to track red tide's harmful algal blooms (HABs) in the Gulf.
Liu was part of a research team that conducted a recent study published in Scientific Reports explaining how extreme weather events, such as Hurricane Milton in 2024, can cause rapid intensification of Karenia brevis red tides. The study details how heavy rainfall and severe runoff wash large amounts of pollutants into coastal ocean waters to allow toxic algae to grow. The research reinforces the growing health risk hurricane activity poses for humans living near coastal waters.
The study also highlights the importance of using advanced hyperspectral satellite technology for monitoring HABs. For the first time, data from NASA's PACE satellite allow scientists to map and distinguish different algal groups in coastal waters, including Karenia brevis, the organism that causes Florida's toxic red tides, from other algal groups. "New hyperspectral satellite missions such as PACE provide far more detailed information on ocean color, enabling us to distinguish phytoplankton types and not just overall abundance, including harmful species such as Karenia brevis," Liu said.
"This capability allows for earlier and more accurate detection of bloom development over large spatial scales. When combined with forecasting tools, these observations can provide advance notice of potential exposure, allowing vulnerable individuals, such as those prone to respiratory or neurological symptoms, to take precautions before conditions worsen." While general beach reports focus on dead fish, Liu's work with hyperspectral imaging and AI offers more precise data on how these toxins move through air and water. Her research helps connect bloom detection to public health risks for Florida's coastal communities.
"AI allows us to move from simply observing harmful algal blooms to anticipating them. By combining satellite observations, such as those from NASA's PACE mission, with ocean models and environmental data, AI can identify patterns that precede red tide events, including changes in phytoplankton communities and physical–chemical conditions (e.g., temperature, salinity, currents, and nutrient levels). This enables earlier detection and short-term forecasting, which can support timely advisories and mitigation efforts.
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