Monday, January 20News That Matters

Tag: prediction

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...