triangular_chill_2: Triangular chilling model (Legave _et al._ 2008, 2013)

In EduardoFernandezC/dormancyR: Functions to Compute Chill Metrics

Triangular chilling model (Legave et al. 2008, 2013)

Description

This function computes the chill according to the triangular function proposed by Legave et al. (2008) and Legave et al. (2013). This model, which uses Tmean as input, was selected as one of the "bests" over several models proposed by the same authors.

Usage

triangular_chill_2(ExtrDailyTemp, summ = TRUE)

Arguments

ExtrDailyTemp	Dataframe containing columns "Tmax" and "Tmin". These values must correspond to daily records
summ	Boolean parameter indicating whether the computed metric should be provided as cumulative values over the period or as the actual accumulation for each hour

References

Legave J., Farrera I., Almeras T. and Calleja M. 2008. Selecting models of apple flowering time and understanding how global warming has had and impact on this trait. J. Horticult. Sci. Biotechnol. 83(1): 76 - 84. doi:10.1080/14620316.2008.11512350

Legave J., Blanke M., Christen D., Giovannini D, Mathieu V. and Oger R. 2013. A comprehensive overview of the spatial and temporal variability of apple bud dormancy release and blooming phenology in Western Europe. Int. J. Biometeorol. 57(2): 317 - 331. doi:10.1007/s00484-012-0551-9

Examples

library(chillR)

tempResponse_daily(KA_weather, Start_JDay = 345, End_JDay = 58, 
                   models = list(Triangular_Chill_Legave = triangular_chill_2))

EduardoFernandezC/dormancyR documentation built on Aug. 24, 2022, 7:21 a.m.