Empiric equation for minimum temperature used in Mendoza

Source: R/models.R

According to Maldonado (see [1]), the empirical equation used in Mendoza to estimate the minimum temperature in the night is:

Tmin = ((Tmax + dew)/2)) - K

, where K is a constant calculated for each place, Tmax: maximum temperature of previous day, dew: dew point in °C, Tmin: is the forecaste minimum temperature. Given an array of the information of dw, tempMax and tmin, this function calculates K constant using linear regression. [1] Ortiz Maldonado, Alberto. Adversidades agrometeorológicas de Mendoza. 1991.

buildMdz(dw, tempMax, tmin)

Arguments

dw

[°C] Dew Point in °C
tempMax

[°C] Maximum temperature of the previous day
tmin

[°C] Minimum temperature measure that day.

Value

an object of class MdzFrostModel

Examples

# just a random example
dw <- c(-2,-5,2,6,8)
tempMax <- c(10,20,30,25,29)
tmin <- c(-1,-2,3,5,10)
buildMdz(dw,tempMax,tmin)
#> An object of class "MdzFrostModel"
#> Slot "k":
#> [1] -9.3
#> 
#> Slot "kvector":
#> [1]  -5.0  -9.5 -13.0 -10.5  -8.5
#>