Sunday, February 23News That Matters

Tag: Typhoon Prediction

Fujitsu, Yokohama Univ Predict Typhoon Tornadoes Using Supercomputer

Fujitsu, Yokohama Univ Predict Typhoon Tornadoes Using Supercomputer

Breaking News, Climate Actions, Disasters, Learning & Developments
Fujitsu Limited and Yokohama National University have achieved a groundbreaking milestone by developing the world's first real-time prediction system for multiple tornadoes associated with typhoons. Utilizing Fujitsu’s Fugaku supercomputer and an enhanced version of the Cloud Resolving Storm Simulator (CReSS), this innovation significantly improves disaster preparedness by delivering more accurate and faster tornado forecasts. This advanced system reduces prediction times from over 11 hours to just 80 minutes, allowing forecasts up to four hours ahead of tornado occurrences. Notably, the prediction model only used 5% of Fugaku’s computational capacity, demonstrating the potential for larger-scale simulations and even quicker predictions. Addressing Tornado Prediction Challenges Ab...
Typhoon Man-yi Nears Philippines Forcing Evacuations Amid Ongoing Recovery Efforts

Typhoon Man-yi Nears Philippines Forcing Evacuations Amid Ongoing Recovery Efforts

Breaking News, Climate Actions, Disasters, Environment
The Philippines braces for another powerful storm as Typhoon Man-yi approaches, bringing winds of up to 150 kilometers per hour. Expected to make landfall on Catanduanes Island late Saturday, authorities have initiated mass evacuations, moving hundreds of residents to safer areas. Roberto Monterola, operations chief of the Catanduanes civil defense office, expressed concern over the lack of sufficient evacuation centers. “Some evacuees will need to shelter with neighbors whose homes are built with stronger materials,” he stated, adding that thousands more are expected to evacuate before the typhoon strikes. This comes as the nation is still reeling from Typhoon Usagi, which caused extensive flooding, uprooted trees, and damaged infrastructure in Kaigan Province earlier this week. Res...
How Climate Change is Fueling Unpredictable and Intensified Storms: Urgent Need for Adaptation and Advanced Forecasting

How Climate Change is Fueling Unpredictable and Intensified Storms: Urgent Need for Adaptation and Advanced Forecasting

Breaking News, Climate Actions, Disasters
As global temperatures rise and ocean heat reaches record levels, the world’s most powerful storms hurricanes, typhoons, and tropical cyclones are undergoing unprecedented transformations. These changes are pushing scientists to rethink how we understand and predict these storms, often called “nature’s steam engines” due to their ability to convert ocean heat into massive kinetic energy. The consequences of these more intense, unpredictable storms are severe, and scientists are racing to understand the evolving patterns to adapt and protect vulnerable communities. How Climate Change is Redefining Storm Dynamics Rising Ocean Temperatures Hurricanes draw their energy from warm ocean waters. As global warming drives sea temperatures to new highs, the energy available for storms in...
Researchers Develop Advanced AI Model for Accurate Typhoon Prediction

Researchers Develop Advanced AI Model for Accurate Typhoon Prediction

Breaking News, Climate Actions, Idea & Innovations
In a significant advancement for climate science, a team of researchers from the Department of Civil, Urban, Earth, and Environmental Engineering at the Ulsan National Institute of Science and Technology (UNIST), led by Professor Jungho Im, has developed a pioneering deep learning-based model for predicting tropical cyclones (TCs). Their findings have been published in GIscience & Remote Sensing and iScience in March and May 2024, respectively. The newly developed Hybrid-Convolutional Neural Networks (Hybrid-CNN) model integrates real-time geostationary weather satellite data and numerical prediction model outputs to forecast TC intensity with lead times of 24, 48, and 72 hours. This approach offers a significant improvement over traditional methods, which often suffer from lengthy ...