Production of daily means from hourly temperature series

Description

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.

Usage

  daily_mean(hourly_list, series_names = NULL)

Arguments

Value

A list of daily averaged series

Note

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)

Author(s)

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

References

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.

See Also

Th_int_list

Examples

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"))

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'license()' or 'licence()' for distribution details.

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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(Interpol.T)
Loading required package: date
Loading required package: chron
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Interpol.T/daily_mean.Rd_%03d_medium.png", width=480, height=480)
> ### Name: daily_mean
> ### Title: Production of daily means from hourly temperature series
> ### Aliases: daily_mean
> 
> ### ** Examples
> 
> 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"))
[1] Now processing T0001
[1] Now processing T0129
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>