s2dv (version 2.1.0)

Smoothing: Smooth an array along one dimension

Description

Smooth an array of any number of dimensions along one dimension.

Usage

Smoothing(data, time_dim = "ftime", runmeanlen = 12, ncores = NULL)

Value

A numerical array with the same dimensions as parameter 'data' but the 'time_dim' dimension is moved to the first. The head and tail part which do not have enough neighboring data for smoothing is assigned as NA.

Arguments

data

A numerical array to be smoothed along one of its dimension (typically the forecast time dimension).

time_dim

A character string indicating the name of the dimension to be smoothed along. The default value is 'ftime'.

runmeanlen

An integer indicating the running mean length of sampling units (typically months). The default value is 12.

ncores

An integer indicating the number of cores to use for parallel computation. The default value is NULL.

Examples

# Load sample data as in Load() example:
example(Load)
clim <- Clim(sampleData$mod, sampleData$obs)
ano_exp <- Ano(sampleData$mod, clim$clim_exp)
ano_obs <- Ano(sampleData$obs, clim$clim_obs)
smooth_ano_exp <- Smoothing(ano_exp, time_dim = 'ftime', runmeanlen = 12)
smooth_ano_obs <- Smoothing(ano_obs, time_dim = 'ftime', runmeanlen = 12)
smooth_ano_exp <- Reorder(smooth_ano_exp, c(2, 3, 4, 1))
smooth_ano_obs <- Reorder(smooth_ano_obs, c(2, 3, 4, 1))
 if (FALSE) {
PlotAno(smooth_ano_exp, smooth_ano_obs, startDates, 
       toptitle = "Smoothed Mediterranean mean SST", ytitle = "K")
 }