{
 "id": "MohamedAzizBhouri/MF_RPN_convection_super_param_CAM5_SPCAM5",
 "owner": "MohamedAzizBhouri",
 "name": "MF_RPN_convection_super_param_CAM5_SPCAM5",
 "downloads": 346,
 "likes": 0,
 "last_modified": "2023-10-16T22:15:37.000Z",
 "stated_licence": "mit",
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 "citation": "@article{Bhouri2023MF_RPN_cv_param,\n    title = {Multi-fidelity climate model parameterization for better generalization and extrapolation},\n    author = {Bhouri, Mohamed Aziz and Peng, Liran and Pritchard, Michael S. and Gentine, Pierre },\n    journal = {arXiv preprint arXiv:2309.10231},\n    doi = {https://doi.org/10.48550/arXiv.2309.10231},\n    year = {2023},\n    }\n    \n- The code was tested using the jax version 0.3.13, the jaxlib version 0.3.10, the numpy version 1.20.1 and the scipy version 1.7.2.\n\n- All codes names intentionally start with numbers in order to make the processing order needed to run them easier to follow:\n\n#####################################################################################################\n\n1. Files \"0_data_process_CAM5.py\" and \"0_data_process_SPCAM5.py\" process the raw data generated by CESM2.1.3 CAM5 and SPCAM5 models. In particular, chosen variables given the problem of interest are kept and a temporal subsampling of factor 2 is implemented. In addition, data is concatenated over several days in order to reduce the number of final files. The number of days considered for concatenation is determined by how much memory is available for the hardware on which the scripts are run. \"0_data_process_CAM5.py\" is used to process CAM5 +4K and +8K data and the resulting files are saved under folders \"data_CAM5_4K\" and \"data_CAM5_8K\" respectively.  \"0_data_process_SPCAM5.py\" is used to process SPCAM5 historical and +4K data and the resulting files",
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 "revision": "1d605c2880d3163230d04a34ef39728f516c7d3c",
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}