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Roorkee (The Hawk): Researchers from the Centre of Excellence in Disaster Mitigation and Management (CoEDMM) at the Indian Institute of Technology Roorkee unveiled a novel framework aimed at strengthening early warning systems for landslides triggered by rainfall in the Himalayas. Landslides and debris flows, particularly in the Himalayan region, have long posed significant challenges, especially during extreme weather events. In response to these challenges, the collaborative efforts of experts in meteorology, hydrology, geomorphology, remote sensing, and geotechnical engineering have resulted in the development of an innovative approach that integrates meteorological modeling with numerical simulations of debris flows. "At the core of our framework is integrating meteorological data generated by the WRF Model with numerical simulations of debris flows. This approach allows us to understand better the complex interactions between rainfall patterns and landslide dynamics." explained Prof. S. Srikrishnan, lead researcher on the project. The innovative framework developed by researchers at the Indian Institute of Technology Roorkee significantly enhances landslide prediction in the Himalayas. Key features include the use of the high-resolution WRF Model to analyze precipitation patterns crucial for landslide prediction, integrating an updated debris flow numerical model, and establishing specific rainfall intensity–duration thresholds through simulations. This comprehensive approach improves accuracy by considering factors such as soil moisture and past events like floods for fine-tuning. Ultimately, the framework aims to better prepare communities and mitigate the impact of landslides in the Himalayan region. It leverages the Weathe ...