ens_verify: Compute all verification scores for an ensemble.
In andrew-MET/harpPoint: Point verifition for NWP forecasts

ens_verify

R Documentation

Compute all verification scores for an ensemble.

Description

Compute all verification scores for an ensemble.

Usage

ens_verify(
  .fcst,
  parameter,
  verify_members = TRUE,
  thresholds = NULL,
  groupings = "leadtime",
  rel_probs = NA,
  num_ref_members = NA,
  spread_drop_member = NULL,
  jitter_fcst = NULL,
  climatology = "sample",
  show_progress = TRUE
)

Arguments

`.fcst`	A `harp_fcst` object with tables that have a column for observations, or a single forecast table.
`parameter`	The name of the column for the observed data.
`verify_members`	Whether to verify the individual members of the ensemble. Even if thresholds are supplied, only summary scores are computed. If you wish to compute categorical scores, the separate det_verify function must be used.
`thresholds`	A numeric vector of thresholds for which to compute the threshold based scores. Set to NULL (the default) to only compute summary scores.
`groupings`	The groups for which to compute the scores. See group_by for more information of how grouping works.
`rel_probs`	Probabilities to use for reliability diagrams. Set to NA (the default) to select automatically.
`num_ref_members`	For "fair" scores, the score is scaled to be valid for this number of ensemble members. Set to NA (the default) to not modify the score.
`spread_drop_member`	Which members to drop for the calculation of the ensemble variance and standard deviation. For harp_fcst objects, this can be a numeric scalar - in which case it is recycled for all forecast models; a list or numeric vector of the same length as the harp_fcst object, or a named list with the names corresponding to names in the harp_fcst object.
`jitter_fcst`	A function to perturb the forecast values by. This is used to account for observation error in the rank histogram. For other statistics it is likely to make little difference since it is expected that the observations will have a mean error of zero.
`climatology`	The climatology to use for the Brier Skill Score. Can be "sample" for the sample climatology (the default), a named list with elements eps_model and member to use a member of an eps model in the harp_fcst object for the climatology, or a data frame with columns for threshold and climatology and also optionally leadtime.
`show_progress`	Logical - whether to show progress bars. Defaults to TRUE.