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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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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Data Archival & Backup for Emergency Preparedness

Introduction Simulations of emergency scenarios due to powerful artificial intelligence like AGI (Artificial General Intelligence) describe increased cyberattacks that elevate the risk of cloud data infrastructure. Our experimental specialty consists of deep learning models that forecast extreme weather events such as hurricanes so offline media like M-Disc stores our data as part of our disaster…

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A Deep Neural Network to Globally Forecast the Track and Intensity of Tropical Cyclones

Recorded PresentationRecording 11B.2: A Deep Neural Network to Globally Forecast the Track and Intensity of Tropical Cyclones Boston Convention and Exhibition Center – 156A Hammad Usmani Georgia Institute of TechnologyAtlanta, GA, USA Aadil Habibi Univ. of Central FloridaOrlando, FL, USA Daanish Habibi Univ. of Central FloridaOrlando, FL, USA Tropical cyclones are the most devastating weather…

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