blog · author

Emma Scharfmann

ML for Science, Hugging Face

1 post

Making open-source AI weather forecasting models easy to run

September 8, 2026

A joint post from Earthmover and Hugging Face on running open-source AI weather forecasting models like Aurora using free ERA5 data from the Earthmover Marketplace — with a live demo space and a full local tutorial.

Emma Scharfmann

ML for Science, Hugging Face

Aaron Spring

ML, AI and geospatial data engineering

Ryan Abernathey

CEO Earthmover

Kashif Rasul

AI Research Science, Hugging Face

← All posts

Blog Tags

access controls access-control ai AI weather AIFS announcement arraylake Arraylake aurora Big Data blog post blog-post case study case-study chat cirrus climate risk cloud cloud native compliance conference data cube data infrastructure data workflows dev note dynamical earth observation earth-observation energy engineering enterprise era5 event FAIR feature release financial-services flux fundamentals garbage collection geospatial GOES-R governance grib guest-post hrrr hugging-face hypothesis icechunk Icechunk IFS LangChain LangGraph marketplace mcp NASA natural language processing NCEI netCDF NetCDF noaa NOAA nws oceanography open data open science open source performance product property-testing public-sector python Python Radar rust Rust security serverless shuttle soc2 tabular data teams technical tensorops tensors testing third-wheel toxiproxy trust vector data virtual-zarr virtualizarr weather wildfire WOD xarray Xarray zarr Zarr

Emma Scharfmann

Making open-source AI weather forecasting models easy to run

Related Posts

Blog Tags