Sunday, February 23News That Matters

Tag: satellite data

Satellite Data Uncovers Years of Warning Signs Before Anak Krakatau’s Devastating 2018 Eruption and Tsunami

Satellite Data Uncovers Years of Warning Signs Before Anak Krakatau’s Devastating 2018 Eruption and Tsunami

Breaking News, Learning & Developments, Tech
A groundbreaking analysis of satellite data has revealed that the catastrophic 2018 eruption and collapse of Indonesia’s Anak Krakatau volcano which triggered a deadly tsunami was preceded by years of subtle but accelerating movements along its mountainside. Researchers at Penn State University found that the volcano's flank had been slipping for over a decade, showing signs that could have potentially served as an early warning if monitored in real time. The study, recently published in Geophysical Research Letters, highlights how advanced radar satellites can detect minute ground deformations, helping scientists track unstable ocean volcanoes and predict possible collapses before they occur. "Ocean volcanoes, when unstable, can collapse catastrophically and generate tsunamis," expl...
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 ...