Interpretation of Rank Histograms for Verifying Ensemble Forecasts

@inproceedings{Hamill2000InterpretationOR,
  title={Interpretation of Rank Histograms for Verifying Ensemble Forecasts},
  author={Thomas M. Hamill},
  year={2000}
}
Rank histograms are a tool for evaluating ensemble forecasts. They are useful for determining the reliability of ensemble forecasts and for diagnosing errors in its mean and spread. Rank histograms are generated by repeatedly tallying the rank of the verification (usually an observation) relative to values from an ensemble sorted from lowest to highest. However, an uncritical use of the rank histogram can lead to misinterpretations of the qualities of that ensemble. For example, a flat rank… CONTINUE READING
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