Unveiling the Fury of Hurricane Idalia: A Meteorological Marvel

Source Idalia, a Category 3 hurricane, made landfall with a relentless fury, submerging homes, transforming streets into rivers, and leaving a trail of destruction in its wake. As the Southeastern coastal states grappled with its aftermath, the unique path and sheer power of Hurricane Idalia challenged preconceived notions. They underscored the need for continued research…

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Tracking Hurricane Milton’s Landfall: Real-Time Global Storm Mapping 🌍

We are excited to present our interactive global storm tracking map, available at https://fluids.ai/map/. This platform is built to provide real-time tracking of global storms, including Hurricane Milton, a Category 5 storm that recently made landfall as a Category 3 storm near Florida’s west coast. Using advanced satellite imagery and data feeds, users can monitor…

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Voice of the Storm: MMS TTS for Global Weather Alerts

In the vanguard of meteorological innovation, ‘hurricane-tts‘ emerges as a monumental integration of advanced technologies, setting new standards in delivering critical storm alerts. At its core, the project harnesses the massively multilingual Text-to-Speech capabilities from Facebook AI Research (FAIR), transforming weather data into spoken word with unparalleled linguistic diversity. Coupled with the analytical prowess of…

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2023 Atlantic Hurricane Season Predictions

               Prompt Used: A satellite image of the Atlantic Hurricane Caption: A Satellite Image Of Hurricane Generated Via DALL-E The 2022 hurricane season was cataclysmic and one of the most potent events to be ever recorded. The National Oceanic and Atmospheric Administration (NOAA) recorded a total of 14 storms, out of which 8 turned into…

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Women’s Contributions To Meteorological and Atmospheric Sciences Throughout Time

There is an effort to improve women’s ability to access technological advancements, knowledge, scientific literacy, and technology-related training, as well as to uplift the stature of female researchers and technologists at the international, national, and local levels. Ensuring all women have equitable access to scientific and technical knowledge is essential. The priority should be to…

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A Deep Recurrent Neural Network to Forecast the Intensity and Trajectory of Atlantic Tropical Storms

J1.6A A Deep Recurrent Neural Network to Forecast the Intensity and Trajectory of Atlantic Tropical Storms More Wednesday, 9 January 2019: 9:45 AM North 124B (Phoenix Convention Center – West and North Buildings) Hammad Usmani, Georgia Institute of Technology, Atlanta, GA Recorded Presentation The National Hurricane Center (NHC) and National Oceanic and Atmospheric Administration (NOAA)…

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