Applications of artificial intelligence to satellite data for extreme weather forecasts

云和其他大气/海洋变量的地球观测数据的频率和分辨率正在迅速增长。为了优化部署这些信息，人们越来越有兴趣将机器学习的新方法应用于这些数据，以便更快地进行适合应急响应和其他应用的天气预报。在这个多学科项目中，你将研究结合机器学习、最新的地球观测数据和最先进的数值天气预报模型来预测天气变化的可能性。我们特别感兴趣的是更好地预报高影响的极端天气，如热带气旋、风暴、寒冷和炎热的天气。该项目符合英国两项工业战略重点：通过应用人工智能开发卫星地球观测技术。工业合作伙伴每年将向学生提供1000英镑的捐款，并在年度工业安置和人工智能专业知识方面提供实物捐助。

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.