IIT Bhubaneswar利用WRF和深层学习开发了混合天气预报技术,提高了洪水易发地区的准确性。 IIT Bhubaneswar developed a hybrid weather forecasting tech using WRF and deep learning, improving accuracy in flood-prone regions.
IIT Bhubaneswar开发了一种混合技术,将WRF模型与深入的天气预报学习结合起来,特别侧重于暴雨事件。 IIT Bhubaneswar developed a hybrid technology that combines the WRF model with deep learning for weather forecasting, specifically focusing on heavy rainfall events. 该模型在易发生洪水的阿萨姆和奥迪沙试验中显示,与传统模型相比,预测准确性增加了一倍,准备时间长达96小时。 Tested in flood-prone Assam and Odisha, the model demonstrated a doubled prediction accuracy compared to traditional models, with a lead time up to 96 hours. 这一技术可以大大改善印度复杂地形的减灾和公共安全。 This technology could significantly improve disaster mitigation and public safety across India's complex terrains.