| ... | ... | @@ -166,6 +166,7 @@ The Skill module is the part of the workflow that computes the metrics to assess |
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**compute_skill_metrics()**: Computes the verification metrics requested in Workflow:Skill:metric. The user can request an unlimited number of verification metrics per recipe. The following metrics are currently available:
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- `EnsCorr`: Ensemble Mean Correlation.
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- `Corr`: Ensemble Correlation.
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- `RPS`: Ranked Probability Score.
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- `RPSS`: Ranked Probability Skill Score.
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- `FRPS`: Fair Ranked Probability Score.
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| ... | ... | @@ -212,7 +213,7 @@ For example, in our example recipe, the final output directory will be: |
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The calibrated hindcast and forecast are saved in files named `<var>_<yyyymmdd>.nc`, where `var` is the name of the variable, `yyyy` is the year and `mmdd` is the initialization date. There is one file per year loaded. The observations are saved in the same format, in files named `<var>-obs_<yyyymmdd>.nc`.
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All of the skill metrics with (time, latitude, longitude) dimensions are saved to a common file named `<var>-skill_month<mm>.nc`, where mm is the initialization month. Each metric is stored as a variable within the file.
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All of the skill metrics with (time, latitude, longitude) dimensions are saved to a common file named `<var>-skill_month<mm>.nc`, where mm is the initialization month. Each metric is stored as a variable within the file. In the case of Corr, which has an extra 'ensemble' dimension, it will be saved to a separate file named `<var>-corr_month<mm>.nc`
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The file containing the requested quantiles is named `<var>-percentiles_month<mm>.nc`. For each year of the hindcast period there is also a file named `<var>-probs_<yyyymmdd>.nc` containing the probability bins.
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