Category: Data Assimilation

New drone data improves hurricane intensity forecasts

For the first time, data from a small uncrewed aircraft system (sUAS) – Black Swift Technologies’ S0 – will be integrated into NOAA’s hurricane forecast model during the 2026 hurricane season. Scientists from the Cooperative Institute for Marine and Atmospheric Studies (CIMAS) and NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) determined that incorporating sUAS data […]

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Inside the Storm: Meet the NOAA team behind hurricane research

Hurricanes are among some of the most destructive natural disasters and pose major risks to coastlines. Given warming oceans, increasing storm intensities, and population growth, advancing hurricane research is vital for tracking storms and predicting their strengths and landfalls. A complex team, from program managers to meteorologists, is essential for successfully predicting, observing, and forecasting […]

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Early-career meteorologist, Jason Dunion, is a recipient of the prestigious PECASE award

Jason Dunion, Ph.D. – a Cooperative Institute for Marine and Atmospheric Studies (CIMAS) meteorologist affiliated with NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) – has been awarded the Presidential Early Career Award for Scientists and Engineers (PECASE), the most prestigious award granted by the U.S. government to exceptional scientists and engineers in the early stages […]

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