stack_hourly_temps: Stacking of hourly temperatures

In chillR: Statistical Methods for Phenology Analysis in Temperate Fruit Trees

Stacking of hourly temperatures

Description

This function processes hourly temperatures generated by make_hourly_temps for calculation of chilling and forcing. The chilling function requires temperatures to be in a long list, and this function prepares them in this way.

Usage

stack_hourly_temps(
  weather = NULL,
  latitude = 50,
  hour_file = NULL,
  keep_sunrise_sunset = FALSE
)

Arguments

weather	weather data frame containing either daily minimum ("Tmin") and maximum ("Tmax") temperatures in the format generated by fix_weather, of hourly temperatures in the format generated by make_hourly_temps (see below; this can also be passed as hour_file).
latitude	the geographic latitude (in decimal degrees) of the location of interest
hour_file	this is a data frame of hourly temperatures, as generated by make_hourly_temps. It has columns describing the date (Year+JDay or Year+Month+Day) and 24 columns called Hour_1 ... Hour_24 that contain hourly temperatures. This is no longer required, since weather can be specified by the weather argument. This parameter is only for compatibility with earlier versions of chillR.
keep_sunrise_sunset	boolean variable indicating whether information on sunrise, sunset and daylength, which is calculated for producing hourly temperature records, should be preserved in the output. Defaults to FALSE.

Value

list containing two elements: hourtemps: data frame containing all the columns of the input data frame, except the hourly temperatures. Instead, two columns are added: Hour is the hour of the day, and Temp is the corresponding modeled mean temperature for that hour. QC: either the Quality control attribute ("QC") passed into the function within the daily temperature record produced by fix_weather, or NA.

Author(s)

Eike Luedeling

References

Luedeling E, Kunz A and Blanke M, 2013. Identification of chilling and heat requirements of cherry trees - a statistical approach. International Journal of Biometeorology 57,679-689.

Examples

weather<-fix_weather(KA_weather[which(KA_weather$Year>2004),])

hourtemps<-stack_hourly_temps(weather, latitude=50.4)

chillR documentation built on Nov. 28, 2023, 1:09 a.m.