| MSES {SeaVal} | R Documentation |
Mean Square Error Skill score
Description
Function for taking MSE skill scores of ensemble forecasts stored in long data tables. Can also handle point forecasts. The skill score needs a climatological forecast as reference. This is so far always based on the leave-one-year-out climatology.
Usage
MSES(dt, f, o = "obs", by = by_cols_ens_fc_score(), pool = c("year"), ...)
Arguments
dt |
Data table containing the predictions. |
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 MSE 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 MSE |
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))
MSES(dt,f = 'fc')