Pangeo (pangeo.io) is a global open community of researchers and developers working to solve the challenges of big geoscience data through scalable, interoperable and reproducible workflows, from laptops to HPC and cloud infrastructures.
Discrete Global Grid Systems (DGGS) are a new paradigm for organizing geospatial data—especially for Earth Observation and Earth System modelling—providing equal-area, multi-resolution indexing that supports cross-domain interoperability. Together, Pangeo’s open-source ecosystem and DGGS-based approaches enable a new level of transdisciplinary science under the principles of FAIR (Findable, Accessible, Interoperable, Reusable) data management and open reproducible research.

This session welcomes contributions that either (a) use DGGS approaches in geoscience, (b) showcase applications built with Pangeo’s core packages, or (c) explore both.

We invite abstracts from researchers, technologists and data managers who are:
Building DGGS-based workflows using Pangeo core packages (Xarray, Iris, Dask, Jupyter, Zarr, Kerchunk, Intake) to achieve scalable and reproducible analysis of geoscientific data.
Developing cloud-native geoscience applications and interoperable infrastructures (HPC–cloud convergence, IaaS, PaaS, SaaS, federated cloud platforms) for large multi-provenance datasets.
Applying machine learning and AI to DGGS-organized or cloud-native geoscience data using open-source tools.
Or simply using Pangeo’s tools to build reproducible, FAIR, and community-driven workflows in any domain of Earth, ocean, climate or environmental science.
Demonstrating executable notebooks, reproducible workflows, and sustainable computing practices.

By highlighting both the informatics (DGGS indexing, cloud-native formats, scalable computing) and the community aspects (Pangeo open-source packages and standards), this session aims to catalyse new collaborations across traditional disciplinary boundaries.