Interpol.T (version 2.1.1)

Th_int_series: Hourly interpolation of multiple daily temperature series

Description

The function creates sets of hourly temperature series, in a specified period, from minimum and maximum daily series. The calibration files, created by the functions par_calibration and shape_calibration, are loaded and passed to function Th_interp.

Usage

Th_int_series(cal_times, TMIN, TMAX, start_year, end_year, cal_shape = NULL, active_IDs = NULL, min_mo.length = 21, full.24.hrs.span_min = TRUE, silent = FALSE)

Arguments

cal_times

calibration table of "time" parameters for the specific series

cal_shape

calibration table for "shape" parameter for the specific series; default is NULL(don't use)

TMIN

minimum temperature daily table

TMAX

maximum temperature daily table

start_year

year of simulation start

end_year

year of simulation end

active_IDs

a set of series IDs to be interpolated. If NULL (default), all series are interpolated

min_mo.length

minimum number of days necessary to calculate monthly dtr values

full.24.hrs.span_min

logical, if set to FALSE does not allow to shift minimum time to the late hours of the day

silent

logical: if set to TRUE suppresses any warning issue

Value

A list of interpolated hourly temperatures for the active_IDs series

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 http://www.agrometeorologia.it/documenti/Rivista2010_2/AIAM%202-2010_pag45.pdf

Original algorithm from: Cesaraccio, C., Spano, D., Duce, P., Snyder, R.L., 2001. An improved model for determining degree-day values from daily temperature data. Int. J. Biometeorol. 45: 161-169. http://www.springerlink.com/content/qwctkmlq3tebthek/

See also: 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. http://www.agrometeorologia.it/documenti/Rivista2010_2/AIAM%202-2010_pag41.pdf

See Also

Th_interp, Mo.Th.Ra., date.time

Examples

library(Interpol.T)
data(Trentino_hourly_T)
stations <- c("T0001","T0010","T0129")
# interpolation of temperature for series T0001 and T0129, from 2004 to 2005
Th_int_list <- Th_int_series(cal_times = calibration_l,
						cal_shape = calibration_shape,
					    TMIN=Tn, TMAX=Tx,
                     start_year = 2004, end_year = 2005,
						active_IDs = stations)