This study found that Atlantic Niño enhances the Atlantic inter-tropical convergence zone rainband, which in turn increases African easterly wave activity and low-level cyclonic vorticity in the deep tropical eastern North Atlantic. These conditions increase the likelihood of major hurricanes developing in the deep tropics near the Cape Verde islands, elevating the risk of major […]
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**Esta es una página de archivo del proyecto. NOAA retiró el modelo HWRF en 2022 y realizó la transición al nuevo modelo Hurricane Analysis and Forecasting System (HAFS) para 2023. Por favor visite la Página de Modelado y Predicción de Huracanes para más información sobre HAFS.** El Modelo de Pronóstico de Investigación Meteorológica de Huracanes JUMP TO DATA OR SCROLL TO LEARN MORE AOML's [...]
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This manuscript is a summary of the recent advancements in aircraft and in situ (those taken at the location of the instrument) observations of tropical cyclones around the world over the past four years. It was prepared for the tenth International Workshop on Tropical Cyclones (IWTC-10). Data collection is discussed along with improvements to observing […]
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Hurricane Field Program Data 2023 Storms Jump to data collected during each storm. Atlantic Basin Arlene (AL02) Bret (AL03) Cindy (AL04) African Easterly Wave (05Aug) Franklin (AL08) Harold (AL09) Idalia (AL10) Lee (AL13) Nigel (AL15) Ophelia (AL16) Philippe (AL17) AL93 Tammy (AL20) AL97 East Pacific Basin Beatriz (EP02) Calvin (EP03) Hilary (EP09) Lidia (EP15) Norma [...]
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Highlights include the impact of GPS dropwindsonde data on forecasts, looking at uncertainties in the forecasts of Hurricane Dorian to understand and improve forecasts, and how vertical wind shear impacts intensity. The latest Keynotes is available at https://www.aoml.noaa.gov/wp-content/uploads/2023/05/Jan-Mar-2023-AOML-Keynotes-Newsletter.pdf. For more information, contact aoml.communications@noaa.gov.
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A new machine learning (ML) model has the potential to provide rapid intensification (RI) forecasts that are better than those currently available. The paper highlights the importance of proper predictor selection and ML development. The approach taken in this project also sets guidelines for future relevant ML research. Tropical cyclones (TCs) can greatly intensify within […]
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Researchers at NOAA seek new techniques to advance hurricane forecasts to better protect life and property. In preparation for the upcoming 2023 hurricane season, which begins June 1, scientists are accelerating the use of small uncrewed aircraft technologies and the collocation of observational ocean assets, among other advancements. Read about five ways that NOAA researchers […]
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A conversation with Sundararaman “Gopal” Gopalakrishnan, Ph.D., the senior meteorologist and leader of the modeling team that developed NOAA’s newest hurricane forecast model – the Hurricane Analysis and Forecast System – that is expected to go into full operation at NOAA’s National Weather Service in late June. Gopalakrishnan leads the Hurricane Modeling and Prediction Program at NOAA’s Atlantic Oceanographic & […]
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The two papers summarize the rapporteur report on recent improvements in tropical cyclone intensity change prediction from an operational perspective from the 10th International Workshop on Tropical Cyclone in Bali, Indonesia. The first part focuses on recent improvements to dynamical models and the notable increase in operational intensity forecast skill. Ongoing challenges for further improving […]
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Intereses de investigación Evaluar el impacto del sistema de observación en las previsiones oceánicas. Aplicación de técnicas de aprendizaje automático en parametrizaciones de características a pequeña escala de procesos físicos. Jakir Hossen, Ph.D. Project Scientist, Hurricane Research Division 301.683.3785 Jakir.Hossen@noaa.gov 4301 Rickenbacker Causeway Miami, Florida 33149 AboutCurrent Work & CVEducationPublicationsAbout Dr. Jakir Hossen es Project Scientist en la División de Investigación de Huracanes [...]
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