Physics-informed ML to push the ocean frontier in climate | Maike Sonnewald, Princeton University
0The global ocean is central to the planet’s health and modulates global levels of heat and carbon, biological productivity, and sea level. However, open questions remain about what drives the circulation which hinders our understanding and ability to monitor ongoing, rapid changes. Climate models suggest that the ocean surrounding Antarctica, a critical region, is changing. However, the limited observations in one of the Earth’s most extreme and inaccessible environments poorly constrain the physical drivers. Here, machine learning is used to construct hypotheses that lead to new theoretical understanding of the circulation and to design a monitoring framework that can assess sensitivity to climate change.\n\nMonitoring the circulation is challenging because observations are generally limited to sparse data from the surface. With our theoretical insight, we developed a new physics-informed methodology to fill this gap using available data. The monitoring method Tracking global Heating with Ocean Regimes (THOR) can ‘reason’ using geophysical fluid dynamics. It is explicitly transparent and consists of a series of neural networks that combine eXplainable AI and Bayesian confidence scores for its predictions. We reveal differences in model physics that cause model divergence and spread in projections, opening the door to further discovery and observational strategies.\n\nSpeakers:\nMaike Sonnewald\nPrinceton University\n\nModerators:\nGustau Camps-Valls\nUniversitat de València\n\n#AIforEarth&Sustainability\n\nJoin us for two days of never before presented, state of the art AI solutions and cutting edge knowledge, aligned with the UN Sustainable Development Goals.\nRegister and learn more here: https://aiforgood.itu.int/summit23/\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\n Stay updated and join our weekly AI for Good newsletter:\nhttp://eepurl.com/gI2kJ5\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.