Digital geoscience depends on combining Earth observations, in situ measurements, model output, and digital twins across domains and scales. Yet differences in grids, data formats, computing environments, and access conditions can make results difficult to compare and reproduce.
This session explores how open, interoperable workflows can bridge these gaps. The Pangeo community and its open-source ecosystem support scalable analysis from laptops to HPC and cloud systems. A unified, standardized data infrastructure based on Discrete Global Grid Systems (DGGS) could provide a common spatial framework for Earth observations and model outputs that currently use heterogeneous grids. Combined with cloud-native formats, such a framework can reduce repeated, ad hoc data transformations and make their provenance easier to trace. This creates opportunities for analysis-ready data and reproducible, trustworthy AI, while enabling tests of computational efficiency. Earth system digital twins and federated data platforms offer settings to test integration of observations, simulations, and user applications across domains and scales.
We welcome methodological advances and applied studies from atmosphere, climate, ocean, land, biodiversity, and natural hazards research. Topics include:
Cross-domain fusion of observations, simulations, and digital-twin outputs
DGGS-based indexing, regridding, and analysis across spatial and temporal scales
Scalable, reproducible, and FAIR workflows using open-source tools (Xarray, Iris, Dask, Jupyter, Kerchunk, VirtualiZarr, Intake) alongside open standards and formats (STAC, Zarr, Parquet, GeoParquet)
Interoperable data access and processing across HPC, cloud, and federated infrastructures
AI/ML workflows with traceable data preparation, validation, uncertainty assessment, and evaluation of computational efficiency
Executable notebooks, workflow portability, sustainable computing, and practical barriers to reuse
Contributions may focus on Pangeo, DGGS, digital twins, or their combination. Studies using Pangeo tools alone to build reproducible, FAIR, and community-driven workflows in any domain of Earth or environmental science are equally welcome. We especially encourage work that shows how a method developed in one geoscience domain can be adapted, evaluated, and reused in another.