Autor: Comunicaciones AOML

NOAA research cruise supports key tropical Atlantic observing system

There and back again: NOAA Ship Gordon Gunter journeyed away from Pascagoula, Mississippi for 90+ days and 12,700+ nautical miles to conduct the PIRATA Northeast Extension cruise. A NOAA ship that traditionally sails in the Gulf of America embarked on a 90+ day journey into international waters and successfully completed its mission in support of […]

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NOAA and India team up to create life-saving tropical cyclone forecast model for nation of a billion

A 12-year collaboration between NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) and the Indian Ministry of Earth Sciences (MoES) has culminated in a renewal of an Implementing Arrangement (IA) on Technical Cooperation in Development of Tropical Cyclone Numerical Weather Prediction System for the Indian Seas, which paves the way for advances in severe weather modeling. […]

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AOML recognizes the 2024 Interns

NOAA’s Atlantic Oceanographic & Meteorological Laboratory (AOML) is celebrating our FY 2024 internship class! From high school students to post doctoral fellows, these exceptional individuals are joining us from schools across the country, from Hawaii to Florida. They are researching corals, microbes, hurricanes, air-sea interaction, ocean acidification, communications strategies, and much more. Some of the […]

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Hurricane Beryl: Looking from sea, sky, and space

In early July, the Caribbean experienced 165 mph winds as Category 5 Hurricane Beryl swept through the region. Beryl was unprecedented, becoming the Atlantic’s earliest forming Category 5 tropical cyclone on record. The storm developed and rapidly intensified to maximum wind speed in less than four days – a behavior uncommon this early in the season. Despite the unprecedented intensification, hurricane scientists with NOAA’s Atlantic Oceanographic and Meteorological Laboratory were prepared.

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New study finds a potential predictor for long-range US tornado forecasts

Tornadoes are among the deadliest and costliest natural disasters in the United States and are one of the hardest to predict. In December 2021, the most destructive winter tornado outbreak, known as the Quad-State Tornado Outbreak, caused 89 fatalities, 672 injuries, and at least $3.9 billion in property damages. Scientists at the University of Miami’s Cooperative Institute of Marine and Atmospheric Studies (CIMAS) and NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) investigated this outbreak and found that it occurred under an exceptionally strong and prolonged negative Pacific-North American (PNA) pattern, which created favorable conditions for tornado outbreaks.

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New study suggests eddies may influence coral resilience as ocean temperatures rise

A new study spanning two decades of research may indicate a series of reefs from the surface to 150 meters deep in the Gulf of America are more resilient to warmer oceans as they are exposed to a wider range of temperatures brought on by a physical movement of seawater called “eddies.” 

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Equipping the next generation of hurricane model scientists

In May 2024, representatives from the Hurricane Modeling Team at NOAA’s Atlantic Oceanographic & Meteorological Laboratory (AOML) hosted a Summer Colloquium focused on equipping the next generation of hurricane scientists with a knowledge base of the HAFS model.

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Presentación de los avances innovadores en la modelización de huracanes

Con una activa temporada de huracanes en el horizonte, la necesidad de una previsión fiable de huracanes está en el primer plano de nuestras mentes. Se espera que el aumento de la temperatura de la superficie del mar, el debilitamiento de la cizalladura vertical del viento y el aumento del monzón de África Occidental contribuyan al desarrollo de ciclones tropicales en el Atlántico. Para predecir estas tormentas en desarrollo, los meteorólogos emplean modelos que se basan en observaciones actuales y cálculos matemáticos para predecir el comportamiento y la trayectoria de una tormenta. Estos modelos son complejos y utilizan datos procedentes de diversas fuentes, como datos históricos, numéricos, oceánicos y atmosféricos, para generar sus predicciones. 

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