CRPSS: Continuous Ranked Probability Skill Score

In SeaVal: Validation of Seasonal Weather Forecasts

Continuous Ranked Probability Skill Score

Description

Function for taking CRPS skill scores of ensemble forecasts stored in long data tables. The skill score needs a climatological forecast as reference. This is so far always based on the leave-one-year-out climatology.

Usage

CRPSS(dt, f, o = "obs", by = by_cols_ens_fc_score(), pool = c("year"), ...)

Arguments

dt	Data table containing predictions and observations.
f	column name of the prediction.
o	column name of the observations.
by	column names of grouping variables, all of which need to be columns in dt. A separate CRPS is computed for each value of the grouping variables. Default is to group by all instances of month, season, lon, lat, system and lead_time that are columns in dt.
pool	column name(s) for the variable(s) along which is averaged. Needs to contain 'year' since the reference climatology forecast is leave-one-year-out.
...	passed on to CRPS_ens_fc, in particular mem and dim.check

Value

A data table with the scores

Examples

dt = data.table(fc = 1:4,obs = c(4,4,7,7),member = c(1,2,1,2),year = c(1999,1999,2000,2000))
CRPSS(dt,f = 'fc')

SeaVal documentation built on June 24, 2024, 5:15 p.m.