AMSIMP - Numerical Weather Prediction using Machine Learning
An open-source solution that leverages machine learning to improve numerical weather predictions. Read the paper.
- Fast and accurate, AMSIMP's recurrent neural networks provide high quality dynamical forecasts and predictions.
- AMSIMP offers a wide variety of exquisite atmospheric contour and vector plots, fit for any academic journal.
- The core of AMSIMP is well-optimized Cython code. Enjoy the flexibility of Python with the speed of compiled C code.
- AMSIMP's high level and intuitive syntax makes it accessible for programmers and atmospheric scientists of any experience level.
- Distributed under the GNU General Public License v3.0, AMSIMP is developed publicly on GitHub.
This package is available on Anaconda Cloud, and can be installed using conda:
$ conda install -c amsimp amsimp
This option is currently not available as the software is in early development. For more information, please read the documentation.