Arcomano1234/SPEEDY-ML
Fortran code that combines the atmospheric general circulation model (AGCM) SPEEDY with a reservoir computing-based machine learning algorithm for weather prediction and climate simulations.
This tool helps meteorologists and climate scientists improve the accuracy of weather forecasts and climate simulations. It takes in observed atmospheric data, processes it, and outputs enhanced predictions by combining traditional atmospheric models with advanced machine learning. The primary users are researchers and modelers in atmospheric science.
No commits in the last 6 months.
Use this if you need to generate more accurate short-term weather forecasts or long-term climate projections by integrating machine learning with a sophisticated atmospheric model.
Not ideal if you are looking for a pre-packaged, out-of-the-box solution without needing to configure or manage Fortran code and high-performance computing prerequisites.
Stars
8
Forks
2
Language
Fortran
License
MIT
Category
Last pushed
Jun 17, 2023
Commits (30d)
0
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