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.
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.
Quick facts
Model providerMicrosoft
TypeEnvironmental forecasting
LifecycleGenerally available (GA)
Input typedata
Output typedata
PricingView pricing