Sunday, February 23News That Matters

Tag: 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...
Winter Chill to Deepen in Delhi-NCR as IMD Predicts Rain and Fog Across North India

Winter Chill to Deepen in Delhi-NCR as IMD Predicts Rain and Fog Across North India

Breaking News, Environment, Opinions
The winter cold is set to tighten its grip over Delhi-NCR, with temperatures expected to drop further in the coming days, according to the India Meteorological Department (IMD). Chilly northern winds are making a comeback, keeping daytime and nighttime temperatures low. Meanwhile, several states, including Uttar Pradesh, Bihar, and Rajasthan, are on alert for rain and dense fog, which could further impact visibility and travel conditions. On Wednesday, northern states enjoyed bright sunshine, but the persistent chill in the air ensured that winter conditions remained. However, the weather is expected to fluctuate, with cloudy spells and occasional temperature rises in the coming days. Thick Fog Set to Cover Delhi & Uttar Pradesh IMD forecasts that Delhi and Uttar Pradesh will ...
Revolutionizing Rainfall Predictions: Japanese Researchers Develop Advanced Climate Modeling Technique

Revolutionizing Rainfall Predictions: Japanese Researchers Develop Advanced Climate Modeling Technique

Breaking News, Learning & Developments, Tech
Tokyo, Japan – With climate change amplifying the frequency and intensity of water-related disasters like floods and droughts, accurate global precipitation estimates are more crucial than ever. However, the lack of sufficient rain gauge data in many regions poses significant challenges to these predictions. In a groundbreaking study published in Hydrology and Earth System Sciences, researchers from Chiba University, Japan, have developed a cutting-edge method using the Local Ensemble Transform Kalman Filter (LETKF) to bridge this data gap. Assistant Professor Yuka Muto and Professor Shunji Kotsuki have combined advanced algorithms with real-world data to refine global precipitation estimates, promising a transformative impact on disaster preparedness and water resource management. T...
New Tool Developed by University of Hawai  Scientists Enhances Long-Term Forecasting of El Niño Events

New Tool Developed by University of Hawai Scientists Enhances Long-Term Forecasting of El Niño Events

Breaking News, Climate Actions, Tech
As severe weather events draw increasing global attention, scientists at the University of Hawai at Mānoa are making strides in improving the forecasting of droughts, floods, and other climate scenarios. Researchers from the School of Ocean and Earth Science and Technology (SOEST) have developed a novel tool that allows for the prediction of El Niño Southern Oscillation (ENSO) events up to 18 months in advance. The research, which integrates insights into the physics of the ocean and atmosphere with predictive accuracy, was recently published in the prestigious journal Nature. "We have developed a new conceptual model - the so-called extended nonlinear recharge oscillator (XRO) model - that significantly improves predictive skill of ENSO events over one year in advance, better than g...