fTemp: Intradaily evolution of ambient temperature
In solaR: Solar Photovoltaic Systems

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

From the maximum and minimum daily values of ambient temperature, its evolution its calculated through a combination of cosine functions (ESRA method)

1	fTemp(sol, BD)

`sol`	A `Sol` object. It may be the result of the `calcSol` function.
`BD`	A `Meteo` object, as provided by the `readSIAR` or `readBD` functions. It must include information about `TempMax` and `TempMin`.

The ESRA method estimates the dependence of the temperature on the time of the day (given as the local solar time) from only two inputs: minimum and maximum daily temperatures. It assumes that the temperature daily profile can be described using three piecewise cosine functions, dividing the day into three periods: from midnight to sunrise, from sunrise to the time of peak temperature (3 hours after midday), and to midnight.

A zoo object with the profile of the ambient temperature.

Oscar Perpiñán Lamigueiro.

Huld, T. , Suri, M., Dunlop, E. D., and Micale F., Estimating average daytime and daily temperature profiles within Europe, Environmental Modelling & Software 21 (2006) 1650-1661.
Perpiñán, O, Energía Solar Fotovoltaica, 2012. (http://procomun.wordpress.com/documentos/libroesf/)
Perpiñán, O. (2012), "solaR: Solar Radiation and Photovoltaic Systems with R", Journal of Statistical Software, 50(9), 1-32, http://www.jstatsoft.org/v50/i09/

calcSol, readSIAR, readBD.

## Not run: 
#Aranjuez, Madrid
BD<-readSIAR(28,3,'01/01/2008','31/12/2008')
lat=41;
sol=calcSol(lat, BTd=indexD(BD), sample='hour')
Temp<-fTemp(sol,BD)

###Temperature of March
library(latticeExtra)
wTemp=window(Temp, start=as.POSIXct('2008-03-01'), end=as.POSIXct('2008-03-31'))
xyplot(wTemp)+layer_(panel.xblocks(x, DoY, col=c('lightgray', 'white')))

## End(Not run)