microsoft/aurora
Implementation of the Aurora model for Earth system forecasting
# Technical Summary A foundation model pretrained on diverse Earth system datasets (ERA5, CMIP6, CAMS) that adapts to specialized forecasting tasks including medium/high-resolution weather, air pollution, and ocean wave prediction. Built as a neural network that processes surface variables, atmospheric levels, and static geographic data through a unified architecture. Provides pip/conda installation with pretrained checkpoints and integrates with standard PyTorch workflows for atmospheric variable prediction from ERA5-formatted inputs.
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Last pushed
Nov 20, 2025
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