daily_mean: Production of daily means from hourly temperature series
In Interpol.T: Hourly interpolation of multiple temperature daily series

Description Usage Arguments Value Note Author(s) References See Also Examples

The function works on a list of hourly temperature series. The hourly list is the output of the interpolation function Th_int, called iteratively to produce a list where each component represents one interpolated series.

1	daily_mean(hourly_list, series_names = NULL)

`hourly_list`	the list of hourly temperatures
`series_names`	names of the serie to be averaged (if `NULL` (default): all series)

A list of daily averaged series

The first element of hourly_list must be a data frame named "Date" and its columns "year", "month", "day" (a fourth column ("hours") is not used in this function)

Emanuele Eccel, Emanuele Cordano emanuele.eccel@iasma.it

Eccel, E., 2010: What we can ask to hourly temperature recording. Part II: hourly interpolation of temperatures for climatology and modelling. Italian Journal of Agrometeorology XV(2):45-50

Eccel, E., 2010: What we can ask to hourly temperature recording. Part I: statistical vs. meteorological meaning of minimum temperature. Italian Journal of Agrometeorology XV(2):41-43.

Th_int_list

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data(Trentino_hourly_T)
# generates daily means for series T0001 and T0129:
Tm_list <- daily_mean(hourly_list = Th_int_list, series_names = c("T0001", "T0129"))