3 | | 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 1991-2000 (`years = 1991:2000`), according to the forecast issued in September (`leadMonth = 3`). The [http://meteo.unican.es/trac/wiki/udg/ecoms/dataserver/listofvariables original variable] is 6-hourly . We will retrieve the daily minimum values, by setting the argument `time = "DD"` and the daily aggregation function to minimum (`aggr.d = "min"`): |
| 3 | 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 1991-2000 (`years = 1991:2000`), according to the forecast issued in September (`leadMonth = 3`). The [http://meteo.unican.es/trac/wiki/udg/ecoms/dataserver/catalog original variable] is 6-hourly . We will retrieve the daily minimum values, by setting the argument `time = "DD"` and the daily aggregation function to minimum (`aggr.d = "min"`): |