Brier score and its decomposition for an ensemble.

Usage

ens_brier(
  .fcst,
  parameter,
  thresholds,
  groupings = "lead_time",
  climatology = "sample",
  rel_probs = NA,
  num_ref_members = NA,
  keep_score = c("both", "brier", "reliability"),
  show_progress = TRUE,
  ...
)

# S3 method for harp_ens_point_df
ens_brier(
  .fcst,
  parameter,
  thresholds,
  groupings = "lead_time",
  climatology = "sample",
  rel_probs = NA,
  num_ref_members = NA,
  keep_score = "both",
  show_progress = TRUE,
  fcst_model = NULL,
  ...
)

Arguments

.fcst: A harp_df or harp_list object with tables that have a column for observations, or a single forecast table.
parameter: The name of the column for the observations data. Can be the column name, quoted, or unquoted. If a variable it should be embraced - i.e. wrapped in {{}}.
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.
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 lead_time.
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.
show_progress: Logical - whether to show progress bars. Defaults to TRUE.
...: Reserved for methods.
fcst_model: The name of the forecast model to use in the fcst_model column of the output. If the function is dispatched on a harp_list object, the names of the harp_list are automatically used.

Value

A data frame with data grouped for the groupings column(s) and columns for brier_score, brier_skill_score and the deomposition of the brier score - brier_score_reliability, brier_score_resolution and brier_score_uncertainty.