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ML4ESM Workshop Opening Remarks

ML4ESM Workshop Opening Remarks

Slides for "2024-07-26_ML4ESM Opening Remarks" presented at ICML 2024 on July 26, 2024 by Julius Busecke.

Julius Busecke

July 26, 2024
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  1. Who am I? 🌊 Climate Scientist Ocean transport of Heat,

    Carbon Oxygen Impact of small scale processes on global climate variability. 🤓 Open Science Nerd Maintainer: Pangeo CMIP6 Cloud Data xMIP/xGCM ⚙ Integration Engineer Manager for Data and Computation - NSF-LEAP Lead of Open Research - m2lines M²LInES jbusecke juliusbusecke.com @JuliusBusecke @[email protected] @codeandcurrents.bsky.social
  2. We are starting to feel the consequences of the climate

    crisis! Climate-related risks to health, livelihoods, food security, water supply, human security, and economic growth are projected to increase with global warming of 1.5°C and increase further with 2°C. - IPCC Report - https://www.wsj.com https://www.twitter.com https://edition.cnn.com/
  3. We generally know what to do... But we have not

    done a great job at it so far! Its still going up! 😩
  4. The large majority of modelling studies could not construct pathways

    characterized by lack of international cooperation, inequality and poverty that were able to limit global warming to 1.5°C. (high con f idence) - IPCC Report - We need everyone on board!
  5. The large majority of modelling studies could not construct pathways

    characterized by lack of international cooperation, inequality and poverty that were able to limit global warming to 1.5°C. (high con f idence) - IPCC Report - We need everyone on board!
  6. Challenges: Scale and Model Bias Only feasible for short time

    reduced complexity Current climate projections https://vimeo.com/259423826
  7. Challenges: Scale and Model Bias Only feasible for short time

    reduced complexity Current climate projections https://vimeo.com/259423826
  8. Promising results but much more to be done! Slides: Pierre

    Gentine https://leap.columbia.edu/ https://m2lines.github.io/
  9. What do we have? Tons of Data! https://earthdata.nasa.gov/eosdis/cloud-evolution SWOT NISAR

    Estimated Size of NASA observational data holdings Coupled Model Intercomparison Project (CMIP) CMIP6: ~20 PB CMIP7 (starting soon): 100+ PB https://wcrp-cmip.org/cmip7/ https://wcrp-cmip.org/ Interested in working with CMIP6 data in the cloud? Check out the Pangeo Cloud Data! https://github.com/leap-stc/ cmip6-leap-feedstock
  10. Climate 🤝 ML: ClimSim A large multi-scale dataset for hybrid

    physics-ML climate emulation Winner will be announced soon!
  11. Food for thought How can we improve existing climate forecasts

    and more e ff iciently integrate observations? How can we make climate simulation data more useful to stakeholders? The climate crisis is a global issue. How can we ensure that all global communities can contribute and use climate data based on their needs?