Using ML to parameterize explicit convection in climate models | Mike Pritchard, NVIDIA
0Mike Pritchard, Director for Climate Simulation Research at Nvidia and Professor of Earth System Sciences, University of California, Irvine, will begin by discussing the problem that drew him to machine learning (ML), in academia – outsourcing the full physics package of computationally expensive superparameterized climate simulations to ML, focusing on latest attempts to discover what it takes to achieve reliable, reproducible prognostic stability and skill. This part will conclude with an outlook on the current potential of multi-scale climate models to generate useful training datasets for ML parameterization, emphasizing advances in simulation algorithms that are beginning to achieve realistic stratocumulus clouds at high interior grid resolution, powered by GPU supercomputers. Mike Pritchard will then switch themes to discuss his new outlook from escalating adventures in industry, with Nvidia, focusing on the intriguing potential of fully data-driven transformer-based ML methods to entirely subsume global atmospheric prediction models. Highlights will include the impressive rate of increases of ML weather prediction skill over the past year, both at Nvidia and by other industrial players, the associated outlook for massive ensemble forecasting, and potential for such methods to solve compression and latency problems in making climate model intercomparison data archives more useful to stakeholders, as part of Nvidia’s “Earth-2” initiative.\n\nSpeakers:\nMike Pritchard\nNVIDIA\n\nModerators:\nDuncan Watson-Parris\nUniversity of Oxford\n\nPhilip Stier\nUniversity of Oxford\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.