For the first time during an operational hurricane mission, NOAA and Black Swift Technologies demonstrated simultaneous dual-altitude drone flight capability, the latest advancement in the use of small uncrewed aircraft systems (sUAS) to collect critical atmospheric data in severe storms. The novel feat, coined Mobile Ocean Towers, enables scientists to fly two Black Swift S0 sUAS […]
NOAA–India Partnership Advances Next-Generation Coupled Forecasting System for the Indian Ocean Region A long-standing collaboration between NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) and India’s Ministry of Earth Sciences (MoES) has reached a major new milestone with advancements in the Interactive/Indian Ocean–Land–Atmosphere (IOLA) forecasting system. Scientists from NOAA/AOML, the Indian National Center for Ocean Information […]
Leveraging 27 years of radar scans from Hurricane Hunter aircraft, NOAA and partners reveal new insights into one of the most elusive phases of the tropical cyclone lifecycle – vertical alignment of the vortex, a critical precursor to rapid intensification. This study is the first to use decades of radar observations to identify the storm […]
In recent years, uncrewed surface vehicles (USV) have become vital tools used to collect observations to improve hurricane forecasts. To fully understand how storms intensify, scientists need data at the air-sea interface where energy is transferred from the ocean to tropical cyclones. This data is most effectively collected by USVs because of their unique ability to operate in dangerous environments and extreme conditions. In a new study, scientists are able to directly quantify the air-sea momentum exchange (termed ‘wind stress’) and related frictional drag effect that acts to slow a hurricane’s rotating winds. These direct measurements of this process are the first to be collected over the ocean in hurricane-force winds.
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 […]
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 […]
The 2025 Atlantic hurricane season has officially come to an end. Throughout this record-breaking season, NOAA scientists conducted innovative research on tropical cyclones that will improve forecasting accuracy, enhance understanding of storm behavior, and strengthen preparedness efforts for communities. Their work and dedication contributed to a safer and more resilient future for those facing the impacts of extreme weather events.
NOAA and Oshen robots bring back key wind and pressure data from Hurricane Humberto A small, wind–powered ocean robot became the first uncrewed surface vehicle to capture and transmit data from inside a Category 5 hurricane on Sunday, September 28, as part of research by NOAA, the United Kingdom-based robotics company, Oshen, and the University […]
Hurricane Erin was one of the largest storms recorded in the Atlantic basin, with only around 5% of storms matching or exceeding its size. Both operational and experimental NOAA forecast models for Erin proved incredibly accurate, especially for Erin’s track early in the forecast period. NOAA’s flagship hurricane forecast model, the Hurricane Analysis and Forecast […]
The Hurricane Research Division (HRD) within NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) is a worldwide leader in the advancement of hurricane science and prediction by collecting novel airborne observations, testing new observing technologies, and developing state-of-the-art forecast model systems that optimally ingest these unique datasets. These efforts make hurricane forecasts more accurate, ultimately protecting […]
