Tag: glider_stories

Satellite image of Hurricane Micheal. Image Credit, NOAA.

Ocean Conditions Played a Major Role in the Intensification of Hurricane Michael (2018)

In a recent study published in AGU’s Journal of Geophysical Research – Oceans, scientists at AOML identified key ocean features that supported the rapid intensification of Hurricane Michael (2018), despite unfavorable atmospheric conditions for development. The study demonstrates the importance of using realistic ocean conditions for coupled (ocean-atmosphere) hurricane models in order to achieve the most accurate hurricane intensity forecasts.

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Hurricane Gliders Return Home from 2020 Season

NOAA’s hurricane gliders are returning home after a successful journey during the 2020 hurricane season. These gliders were deployed off the coasts of Puerto Rico, Dominican Republic, the U.S. Virgin Islands, the Gulf of Mexico, and the eastern U.S. to collect data for scientists to use to improve the accuracy of hurricane forecast models.

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A NOAA ocean glider begins a dive

Robots Probe Ocean Depths in Mission to Fine-Tune Hurricane Forecasts

Four ocean gliders set off to sea this week to bring back data that scientists hope will improve the accuracy of hurricane forecast models.The robotic, unmanned gliders are equipped with sensors to measure the salt content (salinity) and temperature as they move through the ocean at different depths.  The gliders, which can operate in hurricane conditions, collect data during dives down to a half mile below the sea surface, and transmit the data to satellites when they surface.  

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Ubaldo Lopez of the University of Puerto Rico at Mayaguez prepares to launch NOAA ocean gliders in the summer of 2017 off Puerto Rico.

Unmanned Ocean Gliders Help Improve Hurricane Forecasts

NOAA will soon launch a fleet of 15 unmanned gliders in the Caribbean Sea and tropical Atlantic Ocean this hurricane season to collect important oceanic data that could prove useful to forecasters. “If you want to improve prediction of how hurricanes gain strength or weaken as they travel over the ocean, it’s critical to take the ocean’s temperature and measure how salty it is,” said Gustavo Goni, an oceanographer at NOAA’s Atlantic Oceanographic and Meteorological Laboratory who is helping lead the glider research. “Not just at the surface, which we measure with satellites, but down into deeper layers of ocean waters.”

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CARICOOS Team

Underwater Gliders Contribute to Atlantic Hurricane Season Operational Forecasts

Scientists strategically deployed the gliders during the peak of hurricane season, from July through November 2017, collecting data in regions where hurricanes commonly travel and intensify. The gliders continually gathered temperature and salinity profile data, generating more than 4,000 profiles to enhance scientific understanding of the air-sea interaction processes that drive hurricane intensification.

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Underwater Glider. Image credit: NOAA

Storymap: Gliding Through the Blue Frontier

Glider SG609 is one of four gliders that are part of the Hurricane Field Program at NOAA’s Atlantic Oceanographic and Meteorological Laboratory. AOML launched its glider project in 2014 with the goal of enhancing the understanding of air-sea interaction processes during tropical cyclones. Scientists and technicians from AOML and the University of Puerto Rico at Mayagues run the deployments and recoveries out of Isla Magueyes Marine Laboratories in Puerto Rico, which neighbors the colorful coastal island community of La Paguera.

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Hurricane Katrina from Space

Technology and Modeling Innovations Usher in the 2016 Hurricane Season

Scientists at NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) are at the vanguard of hurricane research. Each hurricane season we fly into storms, pore over observations and models, and consider new technological developments to enhance NOAA’s observing capacity and improve track and intensity forecasts. The 2016 hurricane season will provide an opportunity for our scientists to test some of the most advanced and innovative technologies and refined forecasting tools to help better predict a storm’s future activity.

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