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Preliminary v1.0.0 release of the modules, scripts, and notebooks used in "A framework for variational inference and data assimilation of soil biogeochemical models using state space approximations and normalizing flows" to generate synthetic SCON-C and SCON-SS data and conduct variational inference with normalizing flows on SCON-C and SCON-SS state space approximations conditioned on the aforementioned data. The SCON-C and SCON-SS data-generating notebooks are located in the python_notebooks folder and data simulated in the notebooks are then saved in the generated_data notebook. training_plots and training_pt_output folders should be created in preparation for saving the outputs from running the training scripts.
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