Towards physics-AI hybrid modeling in hydrology: Opportunities and challenges

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Recent advances in AI provide unprecedented opportunities to predict and understand components of the hydrological cycles. Nonetheless, many critical issues remain unresolved. For instance, with the remarkable predicting power of machine learning demonstrated in the field, it is under debate whether and how hydrological theory can still have a place in hydrological models or even benefit from "black-box" machine learning methods. In this presentation, we introduce two case studies that attempt to incorporate hydrological knowledge and machine learning in a unified framework. The first study develops a novel deep learning architecture that is encoded with a conceptual hydrological model, resulting in an end-to-end hydrology-AI hybrid learning system. The simulation results show that the hybrid model has improved prediction accuracy, robust transferability, and good intelligence for inferring unobserved processes. The second study develops an explainable machine learning approach to improve our understanding of runoff mechanisms, thereby gaining a deeper insight into how floods are changing under climate change. Overall, this presentation stresses how physics-AI integration can help us understand aspects of the Earth system and the potential opportunities and challenges associated with it. \n\nSpeaker: Dr. Shijie Jiang, Researcher, Helmholtz-Centre for Environmental Research, Germany \n\n#AIforGoodDiscovery #Earth&Sustainability\n\nJoin the Neural Network! \nhttps://aiforgood.itu.int/neural-network/\nThe AI for Good networking community platform powered by AI. \nDesigned to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.\n\n Watch the latest #AIforGood videos!\n\n\nExplore more #AIforGood content:\n AI for Good Top Hits\n   • Top Hits  \n\n AI for Good Webinars\n   • AI for Good Webinars  \n\n AI for Good Keynotes\n   • AI for Good Keynotes  \n\n Stay updated and join our weekly AI for Good newsletter:\nhttp://eepurl.com/gI2kJ5\n\n Discover what's next on our programme!\nhttps://aiforgood.itu.int/programme/\n\nCheck out the latest AI for Good news:\nhttps://aiforgood.itu.int/newsroom/\n\nExplore the AI for Good blog:\nhttps://aiforgood.itu.int/ai-for-good-blog/\n\n Connect on our social media:\nWebsite: https://aiforgood.itu.int/\nTwitter: https://twitter.com/AIforGood\nLinkedIn Page: https://www.linkedin.com/company/26511907 \nLinkedIn Group: https://www.linkedin.com/groups/8567748 \nInstagram: https://www.instagram.com/aiforgood \nFacebook: https://www.facebook.com/AIforGood\n\nWhat is AI for Good?\nWe have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets.\nMore than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals.\nAI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.\n\nDisclaimer:\nThe views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.




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