... | ... | @@ -175,13 +175,13 @@ The StartR documentation has [a guide to explain how to select your longitude ra |
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The Calibration module performs bias correction on the loaded data. It accepts the output of the Loading module as input, and also requires the recipe. It applies a calibration method to the hindcast and forecast data using the observations as a reference, and returns the calibrated data and its metadata as an `s2dv_cube` object.
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The output of the main function, calibrate_datasets(), is a list containing the calibrated hindcast and forecast, named hcst and fcst respectively. fcst will be `NULL` if no forecast years have been requested.
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The output of the main function, `calibrate_datasets()`, is a list containing the calibrated hindcast and forecast, named hcst and fcst respectively. fcst will be `NULL` if no forecast years have been requested.
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### Calibration methods currently available:
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The calibration method can be requested in the Workflow:Calibration:method section of the recipe. **The user can only request one calibration method per recipe.** This is a list of the methods currently available:
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- `'raw'`: No calibration is performed. A warning will show up on the terminal when calibrate_datasets() is called, and it will return the uncalibrated hindcast and forecast.
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- `'raw'`: No calibration is performed. A warning will show up on the terminal when `calibrate_datasets()` is called, and it will return the uncalibrated hindcast and forecast.
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- Daily data: Quantile mapping `'qmap'`.
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For more details, see the [CSTools documentation](https://CRAN.R-project.org/package=CSTools) for CST_QuantileMapping().
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