DynaSun - Dynamics Of The Solar Corona In The Era Of Data Intensive Observations

这项提议的目的是在欧洲和南美几个专注于太阳物理的领先研究团队之间建立密切的研究合作；预期的科学影响是我们对太阳大气层中运行的关键物理过程的知识的重大发展，包括在揭示日冕加热机制方面的突破，在我们对太阳耀斑和日冕物质抛射等冲激能量实现的理解方面取得革命性的进展，MHD波理论的重大发展，以及机械学习技术在太阳大气波过程研究中的首次应用。该项目包括应对现代太阳物理学和太阳物理学的具体关键挑战的四个科学工作包：太阳耀斑准周期脉动、太阳大气加热、日冕物质系统的大尺度和精细演化，以及通信和传播工作包。预期的经济和技术影响包括获得复杂振荡过程分析方面的第一手经验、设计和应用机器学习模式识别技术的经验、空间天气预报模型输入参数的新诊断技术、为与当地行业交流知识创造基础，以及培养熟练的数值建模和数据分析专家。预期的社会影响是加强欧洲和南美研究界之间的研究联系；

The aim of this proposal is to establish close research collaboration between several leading European and South American research teams specialising in solar physics; and gain new, paradigm-changing knowledge about dynamic processes in the solar atmosphere, through the systematic research staff and knowledge exchange and joint research efforts exploiting existing data and facilities, including innovative data analysis techniques based on the machine-learning approach.The expected scientific impact is a major development of our knowledge of the key physical processes operating in the solar atmosphere, including breakthroughs in revealing the coronal heating mechanism, transformative progress in our understandingimpulsive energy realises such as solar flares and CMEs, major development of MHD wave theory, and first application of machinelearning techniques in the study of solar atmospheric wave processes. The project includes four scientific work packages whichaddress specific key challenges of modern solar physics and heliophysics: quasi-periodic pulsations in solar flares, heating of the solar atmosphere, and large and fine scale evolution of CMEs, and a communication and dissemination work package. The expectedeconomic and technological impacts include gaining first-hand experience in the analysis of complex oscillatory processes, experience in designing and applying machine-learning techniques for pattern recognition, novel diagnostic techniques of inputparameters for space weather forecasting models, creating a ground for knowledge exchange with local industries, and production of highly-skilful specialists in numerical modelling and data analysis. The expected societal impact is strengthening the research links between the European and S. American research communities;