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Postprocess

After generating raw numpy predictions, we can postprocess these raw predictions using the canari_ml postprocess command to create netCDF files.

We can use the same prediction config file from the previous step to generate these files. It will create an aggregate netCDF file with ua700_mean and ua700_stddev for all ensembles.

canari_ml postprocess -cd configs/predict/custom_train -cn 1979-01-26_and_plot