Applications of artificial intelligence to satellite data for extreme weather forecasts

云和其他大气/海洋变量的对地观测数据的频率和分辨率正在迅速增长。为了最好地利用这些信息，人们开始有兴趣将机器学习中的新方法应用于这些数据，以便更快地进行天气预报，适合应急响应和其他应用。在这个多学科项目中，您将研究将机器学习、最新的地球观测数据和最先进的数值天气预测模型相结合的可能性，以预测天气变化。我们特别感兴趣的是对热带气旋、风暴、寒冷和高温等高影响极端天气的更好预报。该项目符合英国工业战略的两个优先事项：通过应用人工智能开发卫星对地观测技术。产业合作伙伴将在每年的产业安置和人工智能专业知识方面为学生和实物贡献1000 GB的资金。

The frequency and resolution of Earth Observation data of clouds and other atmospheric/ocean variables is rapidly growing. To optimally deploy this information there is emerging interest to apply new approaches in machine learning to this data for faster weather forecasting suitable for emergency response and other applications. In this multidisciplinary project you will research the possibility of combining machine learning, the latest Earth Observation data and state of the art numerical weather prediction models to anticipate changes in weather. We are particularly interested in better forecasts for high impact extreme weather such as tropical cyclones, storms, cold and heat spells. The project meets two of the UKs industrial strategic priorities: the exploitation of satellite earth observation technology through the application of artificial intelligence. The industrial partner will make a contribution of £1000 per annum to the student and in-kind contribution in terms of annual industrial placement and expertise in artificial intelligence.