thermal: Temperature and thermal stress

Description Usage Arguments Value Author(s) Examples

Description

Calculate temperatures and thermal stress from weather data (daily minimum and maximum temperatures).

Usage

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thermalStressSeasonal(criticalTemp, dailyWeather, trialData, trialLocs, startEnd = c("START","END"), zenith=96)
thermalStressDaily(criticalTemp, Tmax, Tmin, sunr, TminNext)
temperature(Time, Tmax, Tmin, sunr, TminNext)

Arguments

criticalTemp

temperature above which thermal stress is experienced

dailyWeather

data frame containing daily weather data

trialData

data frame containing trial data, with start (START) and end (END) dates of the growing season

trialLocs

data frame containing trial locations

startEnd

character vector of two, indicating which column to select for start and end dates from trialData

zenith

zenith angle, see ?sunrise

Tmax

single number or vector with daily maximum temperature values

Tmin

single number or vector with daily minimum temperature values

sunr

single number or vector with daily time of sunrise

TminNext

single number or vector with minimum temperature values for the next day

Time

single number or vector with (local mean) time of day in hours

Value

single number or vector with thermal stress duration (in hours) or temperature values

Author(s)

Jacob van Etten

Examples

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# Illustration of the thermal stress concept
s <- sunrise(25, 6, 1990, -74.3, 40.9, zenith=(90+50/60))
temp <- temperature(0:24, 31, 15, s, 15)
plot(ts(temp,0,24)) # Modelled course of temperature during the day
abline(30,0) # Line with critical temperature of 30 degrees Celsius

# Now let's calculate for how long the temperature exceeded 30 degrees this day
thermalStressDaily(criticalTemp=30, Tmax=31, Tmin=15, sunr=s, TminNext=15)

# Example with thermalStressSeasonal()

  


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