Aurora

Aurora is a machine learning model that can predict general environmental variables.

Aurora is a machine learning model that can predict general environmental variables, such as temperature and wind speed.
It is a foundation model, which means that it was first generally trained on a lot of data,
and then can be adapted to specialised environmental forecasting tasks with relatively little data.
We provide four such specialised versions:
one for medium-resolution weather prediction,
one for high-resolution weather prediction,
one for air pollution prediction,
and one for ocean wave prediction.
Please see the documentation of the
Aurora Foundry Python API .

Please email AIWeatherClimate@microsoft.com
if you are interested in using Aurora for commercial applications.
For research-related questions or technical support with the open-source version of the model,
please open an issue in the GitHub repository
or reach out to the authors of the paper.