RAnEnExtra::verifyRMSE

RAnEnExtra::verifyRMSE calculates root mean square errors.

verifyRMSE(anen.ver, obs.ver, boot = F, R = 1000, na.rm = T, parallel = F)

Arguments

anen.ver	A 4-dimensional array. This array is usually created from the value column of the analogs member in the results of RAnEn::generateAnalogs. The dimensions should be [stations, times, lead times, members].
obs.ver	A 3-dimensional array. The dimensions should be [stations, times, lead times]. You can generate the array using RAnEn::alignObservations.
boot	Whether to use bootstrap.
R	The number of bootstrap replicates. Used by the function boot::boot.
na.rm	Whether to remove NA values.
parallel	Whether to turn on parallel processing.

Details

RMSE ^ 2 = CRMSE ^ 2 + Bias ^ 2

To set the number of cores to use when parallel is used, options(mc.cores = 8).

Bootstrap confidence interval is defaulted to 0.95. To change this, use options(RAnEnExtra_boot_conf = 0.9).