Run panguweather with capabilities for GFS and GDAS initial conditions and NetCDF output
Project description
ai-models-panguweather-gfs
ai-models-panguweather-gfs
is an extension of the ai-models-panguweather package, which itself is a plugin to run Huawei's Pangu-Weather with i-models.
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast, arXiv preprint: 2211.02556, 2022. https://arxiv.org/abs/2211.02556
Pangu-Weather was created by Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu and Qi Tian. It is released by Huawei Cloud.
The trained parameters of Pangu-Weather are made available under the terms of the BY-NC-SA 4.0 license.
The commercial use of these models is forbidden.
See https://github.com/198808xc/Pangu-Weather for further details.
Installation
To install the package, run:
pip install ai-models-panguweather-gfs
This will install the package and its dependencies, in particular the ONNX runtime. The installation script will attempt to guess which runtime to install. You can force a given runtime by specifying the the ONNXRUNTIME
variable, e.g.:
ONNXRUNTIME=onnxruntime-gpu pip install ai-models-panguweather-gfs
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