Computes Seasonal Means
Computes seasonal means on timeseries organized in a array of any number of dimensions up to 10 dimensions where the time dimension is one of those 10 dimensions.
Season(var, posdim = 4, monini, moninf, monsup)
var |
Array containing the timeseries along one of its dimensions. |
posdim |
Dimension along which to compute seasonal means = Time dimension. |
monini |
an integer indicating the first month of the time series: 1 to 12. |
moninf |
an integer indicating the month when to start the seasonal means: 1 to 12. |
monsup |
an integer indicating the month when to stop the seasonal means: 1 to 12. |
Array with the same dimensions as var except along the posdim dimension whose length corresponds to the number of seasons. Partial seasons are not accounted for.
History:
0.1 - 2011-03 (V. Guemas, virginie.guemas@ic3.cat) - Original code
1.0 - 2013-09 (N. Manubens, nicolau.manubens@ic3.cat) - Formatting to CRAN
# Load sample data as in Load() example:
example(Load)
leadtimes_dimension <- 4
initial_month <- 11
mean_start_month <- 12
mean_stop_month <- 2
season_means_mod <- Season(sampleData$mod, leadtimes_dimension, initial_month,
mean_start_month, mean_stop_month)
season_means_obs <- Season(sampleData$obs, leadtimes_dimension, initial_month,
mean_start_month, mean_stop_month)
PlotAno(season_means_mod, season_means_obs, startDates,
toptitle = paste('winter (DJF) temperatures'), ytitle = c('K'),
legends = 'ERSST', biglab = FALSE, fileout = 'tos_season_means.eps')Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.