AI-model-data-integration for understanding climate impacts in the Earth System | Discovery
0The Earth is a complex dynamic networked system. Machine learning, i.e. derivation of computational models from data has already made important contributions to predict and understand components of the Earth system, specifically in climate, remote sensing, and environmental sciences. For instance, classifications of land cover types, prediction of land-atmosphere and ocean-atmosphere exchange, or detection of extreme events have greatly benefited from these approaches. Such data-driven information has already changed how Earth system models are evaluated and further developed. However, many studies have not yet sufficiently addressed and exploited dynamic aspects of systems, such as memory effects for prediction and effects of spatial context, e.g. for classification and change detection. In particular new developments in deep learning offer great potential to overcome these limitations.\n\nYet, a key challenge and opportunity is to integrate (physico-chemical+cecological) system modeling approaches with machine learning into hybrid modeling approaches, which combines physical consistency and machine learning versatility. A couple of examples are given with a focus on the terrestrial biosphere, where the combination of system-based and machine-learning-based modeling helps our understanding of aspects of the Earth system.\n\n Speakers:\nDuncan Watson-Parris, Postdoctoral Research Associate, University of Oxford\nPhilip Stier, Head of Atmospheric, Oceanic and Planetary Physics, University of Oxford\nMarkus Reichstein, Director of the Biogeochemical Integration Department, Max Planck Institute for Biogeochemistry\nMichael Obersteiner, Director of the Environmental Change Institute, University of Oxford\n\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/ITU_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?\nThe AI for Good series is the leading action-oriented, global & inclusive United Nations platform on AI. The Summit is organized all year, always online, in Geneva by the ITU with XPRIZE Foundation in partnership with over 35 sister United Nations agencies, Switzerland and ACM. The goal is to identify practical applications of AI and scale those solutions for global impact.\n\nDisclaimer:\nThe views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.\n\n#AIforClimateScience #AIforGoodDiscovery