数学文化节 | YingLong-weather: A Study of Data-driven Limited Area Model for Weather Forecasting

作者:王万里发布时间:2025-03-24浏览次数:16

报告人:许鹏博 博士(华东师范大学数学科学学院)
报告时间:2025年3月27日 10:30-11:30
报告地点:广知楼A301
报告摘要:Recently, artificial intelligence-based models for forecasting global weather have been rapidly developed. Most of the global models are trained on reanalysis datasets with a spatial resolution of 0.25◦ × 0.25◦. However, study on artificial intelligence-based limited area weather forecasting models is still limited. In this study, an artificial intelligence-based limited area weather forecasting model (YingLong) is developed.
报告人简介:

许鹏博,博士毕业于兰州大学数学与统计学院,博士指导导师是邓伟华教授,目前工作于华东师范大学数学科学学院,上海张江数学研究院。主要研究方向为AI for Science,统计物理,随机分析等。主持一项国家自然科学基金青年项目,博士后面上项目,百度松果基金,作为骨干成员参与一项国家自然科学基金委重大项目,作为两项XXX项目子课题负责人。目前在New Journal of Physics, Physical Review E等杂志上发表论文14篇。