Intro to working with CMIP data the Pangeo way Stanford Ocean Group Demo | Julius Busecke | May 10 2024 Creative, fast, and fun climate science for everyone M²LInES

Who am I? Physical Oceanographer Senior Sta ff Associate - Columbia University Manager of Data and Computing - LEAP NSF-STC Lead of Open Science - M2LInES Core Developer of xGCM, xMIP Pangeo Fan, User, and Member Open Source/Open Science Advocate Maintainer of the Pangeo CMIP6 zarr stores

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Observations

Observations Models Models

6 Credit: NASA's Goddard Space Flight Center

6 Credit: NASA's Goddard Space Flight Center

6 Credit: NASA's Goddard Space Flight Center https://earthdata.nasa.gov/eosdis/cloud-evolution SWOT NISAR

Increasing Resolution and Complexity

Climate Science: A global distributed effort

I want to create a plot like this!

Download Clean and Combine Crunch the data Interpret Results

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Download Clean and Combine Crunch the data Interpret Results ⏳💸🚫

Download Clean and Combine Crunch the data Interpret Results ❌

The Traditional Approach Bring the data to the compute Raw Data 💽 🧑💻👩💻🧑💻 🖥 🚀 💽 💽 💽 Large Raw Data 🐌 Cloud O ff ice / Home / Wherever you work! Server/Laptop

Our Approach Bring the compute to the data Raw Data 💽 🧑💻👩💻🧑💻 🖥 💽 💽 💽 Small Data (Figures, Commands) 🐌 Cloud O ff ice / Home / Wherever you work! 🖥 🖥 🖥 🚀 🚀 🚀 🚀

Our Approach Bring the compute to the data Raw Data 💽 🧑💻👩💻🧑💻 🖥 💽 💽 💽 Cloud O ff ice / Home / Wherever you work! 🖥 🖥 🖥 🚀 🚀 🚀 🚀 🧑💻👩💻🧑💻 💬💡🥼🤗 Another Lab across the globe

CMIP6 Cloud Dataset • Pangeo partnered with ESGF and Google Cloud to provide a new public dataset • > 1 PB and counting • Data stored in Zarr format • Google provides free hosting in GCS https://pangeo-data.github.io/pangeo-cmip6-cloud/

Because more and more people need climate data Collaboration on open data: Everybody wins! 👨💼 👨🔬 🧑💼 🧑💻 Science Paper 👩🔬🎉🎓 Derived Proprietary Data Product 🧑💼💵🎊 Fixes naming Corrects units Tunes Compression Uploads new data Academia Private Sector / Public Sector 👷 👩🏫 🏄 Everyone gets to explore the clean dataset! Public Stakeholder

Get involved! https://github.com/leap-stc/cmip6-leap-feedstock Request Datasets that are not yet in the cloud Report issues with existing datasets.

E ff icient and fast access to arrays in object store Easy parallelization -> fast iteration on analysis Flexible scienti f ic data structure Crowd Sourced Cleaning + Combining Your favorite code to analyze/interpret 🎁

Nobody likes cleaning!

Nobody likes cleaning! Di ff erent dimension names in the CMIP data. 
 
 Not quite analysis -ready But easy and fast to f ix!!!

Nobody likes cleaning! But its always faster if you split the work! https://github.com/jbusecke/xMIP Check it out and report any new issues with the data!

Reproducible IPCC Science in Minutes IPCC Chapter 9 2-10 minutes on LEAP-Pangeo JupyterHub Code Repository https://github.com/jbusecke/presentation_wcrp_open_science_conference Scipy Talk https://www.youtube.com/watch?v=7niNfs3ZpfQ

Its not just me! Lower barrier of entry + Quick exploration of ideas = New CMIPers! Teaching with the real data Student ➡ Scientist 🚀 Not just for academics. Public/private sector uses the cloud data!

Agile Science - Speed counts! Idea 💡 Result ✅

Agile Science - Speed counts! Idea 💡 Result ✅ Tech/Infrastructure limited Understanding limited

Agile Science - Speed counts! Idea 💡 Result ✅ Tech/Infrastructure limited Understanding limited How to speed up: - Open/Fast Access to data - Community OSS tools - Infrastructure Support from Private Sector?

Agile Science - Speed counts! Idea 💡 Result ✅ Tech/Infrastructure limited Understanding limited How to speed up: - Open/Fast Access to data - Community OSS tools - Infrastructure Support from Private Sector? How to speed up: - Collaboration - More Stakeholders - Reproducibility

I ❤ Feedback, questions, contributions. @JuliusBusecke jbusecke [email protected] juliusbusecke.com @JuliusBusecke @[email protected] @codeandcurrents.bsky.social