= Regional-Continental domain selections

In this example we will load data for Europe for the variable surface (2m) minimum temperature (`var = tasmin`), for the first two members (`members = 1:2`) of the CFSv2 hindcast (dataset = `CFSv2_seasonal_16`), considering the wintertime (DJF, `season = c(12,1,2)`) for the 10-year period 2001-2010 (`years = 2001:2010`), according to the forecast of previous September (`leadMonth = 3`). The original variable is stored as 6-hourly data for this particular dataset. We will retrieve the daily mean values, by setting the argument `time = "DD"`, that internally computes the daily minimum from the 6-hourly instantaneous values (see the NOTE below when executing the command):

{{{
#!text/R
ex2 <- loadECOMS(dataset = "CFSv2_seasonal_16", var = "tasmin", members = 1:2, lonLim = c(-15,35), latLim = c(32, 75), season = c(12,1,2), years = 2001:2010, leadMonth = 3, time = "DD")
}}}

Returns the following on-screen messages:

{{{
[2014-09-02 16:45:58] Defining homogeneization parameters for variable "tasmin"
NOTE: daily minimum will be calculated from the 6-h model output
[2014-09-02 16:45:58] Defining geo-location parameters
[2014-09-02 16:45:58] Defining initialization time parameters
[2014-09-02 16:46:03] Retrieving data subset ...
[2014-09-02 16:52:57] Done
}}}

The size of the object is 35 Mb:

{{{#!text/R
print(object.size(ex2), units = "Mb")
}}}

In this case, the data are stored in a 4D-array, with the dimensions indicated by the `dimensions`attribute, always following the canonical ordering of dimensions:

{{{
#!text/R
> str(ex2$Data)
}}}

{{{
 num [1:2, 1:902, 1:47, 1:54] 17.4 17.2 16.4 18.7 17.4 ...
 - attr(*, "dimensions")= chr [1:4] "member" "time" "lat" "lon"
}}}

Members can be plotted individually by setting `multimember = TRUE` in the `plotMeanField` function of the `downscaleR`package:


{{{
#!text/R
plotMeanField(ex2, multi.member = TRUE)
}}}


[[Image(image-20140902-170632.png)]]