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tidy preprocess readme wording
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# Generating `events.json` ensembles from management pipeline
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This converts the raw outputs of the management/monitoring CCMMF pipeline into precisely structured parquet files. Then, it passes those inputs into the new `events_parquet_to_json` functionality to generate ensembles of `events.json` files that can be used for downstream simulations.
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This converts the raw outputs of the management/monitoring CCMMF pipeline into precisely structured parquet files. Then, it passes those inputs into the `events_parquet_to_json` function to generate ensembles of `events.json` files for downstream simulations.
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- `01a-clean-irrigation.R` --- Preprocess irrigation. This is handled separately because the raw data are really large (600M rows).
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- `01b-clean-other-events.R` --- Preprocess remaining events. These are done together because they are much smaller.
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- `01c-clean-fertilization.R` --- Preprocess fertilization events. Reads both `workflows/fertilization-statewide/` (synthetic N) and `workflows/ncc-statewide/` (compost) raw outputs and writes them as one `fertilization.parquet` since SIPNET's FERT handler accumulates the org and mineral channels on same event_type
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- `02-events-to-json.R` --- Example of running
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- `01a-clean-irrigation.R` -- Preprocess irrigation. This is handled separately because the raw data are really large (600M rows).
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- `01b-clean-other-events.R` -- Preprocess remaining events. These are done together because they are much smaller.
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- `01c-clean-fertilization.R` -- Preprocess fertilization events. Reads both `workflows/fertilization-statewide/` (synthetic N) and `workflows/ncc-statewide/` (compost) raw outputs and writes them as one `fertilization.parquet` since SIPNET's FERT handler accumulates the org and mineral channels on same event_type
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- `02-events-to-json.R` -- Example of running

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