Published September 24, 2024
| Version v1
Dataset
Open
Code and dataset for Barthel Sorensen et. al 2024
Description
This repository includes the code needed to train and test the machine learning models described in A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data by Barthel Sorensen et.al. 2024. The code is implemented in Python using TensorFlow.
The training and testing trajectories can be found at: https://drive.google.com/drive/folders/14OV56gibnnxzbmWB18K69Da2SZcIrosS?usp=sharing. See README.txt for more details
Files
BBS_et_al_2024_Code.zip
Files
(14.1 kB)
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Additional details
Software
- Repository URL
- https://github.com/ben-barthel/learning_dynamics