R: Spread to Error Ratio

EnsSprErr {easyVerification} | R Documentation

## Spread to Error Ratio

### Description

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.

### Usage

    EnsSprErr(ens, obs)

### Arguments

`ens` | n x k matrix of n forecasts for k ensemble members
`obs` | vector with n verifying observations

### Details

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

### See Also

`veriApply`, `FairSprErr`

### Examples

    tm <- toymodel()
    EnsSprErr(tm$fcst, tm$obs)

    ## compute spread to error ratio using veriApply
    veriApply('EnsSprErr', fcst=tm$fcst, obs=tm$obs)

[Package easyVerification version 0.4.4 Index]