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List of Metrics Available

James Brown edited this page Aug 28, 2024 · 18 revisions

The metrics available within WRES are listed below. They are organized by input data type and output data type. Transformations between data types are possible. For example, an ensemble forecast may be transformed into a single-valued forecast by calculating an ensemble average (e.g., mean). Similarly, a single-valued prediction may be transformed into a dichotomous prediction using an event threshold.

The metric names should be declared in lower case without any hyphens separating words, '-'.

* To calculate the difference between a predicted and baseline dataset for this metric, simply add the word difference to the metric name.

A B C
1
INPUT TYPE (PAIRED VALUES) METRIC NAME OUTPUT TYPE
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SINGLE VALUED Bias Fraction* SCORE
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Coefficient of Determination*
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Pearson Correlation Coefficient*
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Index of Agreement*
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Mean Absolute Error*
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Mean Error*
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Median Error*
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Root Mean Square Error*
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Root Mean Square Error Normalized*
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Sum Square Error*
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Volumetric Efficiency*
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Sample Size*
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Kling Gupta Efficiency*
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Mean Square Error*
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Mean Square Error Skill Score
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Quantile-Quantile Diagram DIAGRAM
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Box Plot of Errors
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Box Plot of Percentage Errors
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SINGLE VALUED TIME-SERIES Time-To-Peak Error Summary Statistics SCORE
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Time-To-Peak Relative Error Summary Statistics
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Time-To-Peak Error PAIRED VALUES
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Time-To-Peak Relative Error
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DISCRETE PROBABILITY Brier Score* SCORE
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Brier Skill Score
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Relative Operating Characteristic Score*
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Reliability Diagram DIAGRAM
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Relative Operating Characteristic Diagram
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DICHOTOMOUS Critical Success Index* SCORE
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Threat Score*
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Equitable Threat Score*
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Frequency Bias*
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Peirce Skill Score*
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Probability of Detection*
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Probability of False Detection*
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MULTICATEGORY Contingency Table (2x2) TABLE
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Peirce Skill Score SCORE
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ENSEMBLE FORECAST Sample Size SCORE
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Continuous Ranked Probability Score*
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Continuous Ranked Probability Skill Score
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Rank Histogram DIAGRAM
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Box Plot of Errors by Observed Value BOXPLOT
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Box Plot of Errors by Forecast Value
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