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.
Read Full Article
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 […]
Read Full Article
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 […]
Read Full Article
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 […]
Read Full Article
Uncrewed systems are a rapidly emerging tool for NOAA in hurricane research and forecasting as they allow researchers to gather data from otherwise inaccessible regions of the storm. While some uncrewed system deployments in hurricanes have already been shown to improve hurricane intensity forecasts, others still require further research and development. Prior to hurricane season, NOAA tests new and updated emerging technologies in non-storm environments, or “clear air,” to consider incorporating them into the hurricane reconnaissance program.
Read Full Article
From July 14-16, NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) and the University of Reading held the inaugural Joint US-UK Symposium on Emerging Technologies for High Impact Weather in Reading, UK. Through this collaboration, AOML sought to bring together subject matter experts from the government, academia, and industry on both sides of the Atlantic.
Read Full Article
AOML's Hurricane Observation & Emerging Technologies Program Observing Hurricanes Using Airborne and Experimental Technologies Who We Are Objectives Our objective is to obtain observations in and around tropical cyclones to improve our understanding of their structure and intensity change, especially in regions that have historically been difficult to observe. We also seek to test emerging [...]
Read Full Article
Join us as we celebrate and learn about our world ocean throughout National Ocean Month. June 1st not only marks the start of National Ocean Month, it also is the first day of hurricane season. To kick off this year’s Ocean Month, we are looking at the major role the ocean plays in the formation […]
Read Full Article
The 2025 Atlantic hurricane season started on June 1 and runs through November 30. NOAA predicts a 30% chance of a near-normal season, a 60% chance of an above-normal season, and a 10% chance of a below-normal season in the Atlantic basin this year: NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) will work with partners […]
Read Full Article
Hurricane Field Program Data 2025 Storms NOTICE SFMR data from 2023 to present are currently under review for accuracy. Once the accuracy is verified or corrected, the data files will be made available on this website. Click storm name to see data collected during each mission. Atlantic Basin Barry (AL02) Chantal (AL03) Erin (AL05) Fernand [...]
Read Full Article
