Description Usage Arguments Details See Also Examples

Computes the spread to error ratio (SPR) for probabilistic forecasts - not unlike the functions in SpecsVerification. SPR > 1 indicates overdispersion (underconfidence), whereas SPR < indicates overconfidence in the forecasts.

1 | ```
EnsSprErr(ens, obs)
``` |

`ens` |
n x k matrix of n forecasts for k ensemble members |

`obs` |
vector with n verifying observations |

Here we define the spread-error rate as the square root of the ratio of mean ensemble variance to the mean squared error of the ensemble mean with the verifying observations

1 2 3 4 5 |

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