This function identifies heat waves in a time series of temperature
data using a heat wave definition that a heat wave must be a certain number
of days with temperatures equal to or above some threshold temperature. This
function uses a compiled C++ function for part of the process, making it
faster than the R analogue,
IDHeatwavesR, although the two
functions give identical results.
A dataframe with daily temperature projections in the
the city being processed. This dataframe must have two columns:
(1) the first column must have the date of each observation, with
class "Date" and; (2) the second column must have temperatures
in degrees Fahrenheit. In the normal running of this package, this
dataframe will be generated by the closure created by
Numeric string with threshold temperature used in the heat wave definition, in degrees Fahrenheit.
Integer greater than 0 giving the number of days to
use in the extreme event definition (e.g.,
This function is the default function used to identify heat waves in
Returns the dataframe entered as
datafr, but with new
columns providing heat wave identifiers. The returned dataframe will
have new columns for whether a day was part of a heat wave (
0 / 1), and, if it was part of a heat wave, the number of the heat wave
There are a few cases near the edges of data frames when this function would return that a day was not a heat wave when it was. First, if the first day of the dataset is a heat wave because preceeding days exceeded the threshold, but the second day in the dataframe is not above the threshold, this function would not capture that the first day was a heat wave. A similar caveat applies to the last day in the dataframe. In northern hemisphere studies, this should not be a concern, as it is unlikely that Jan. 1 or Dec. 31 would qualify as a heat wave. However, care should be taken when using this function either with Southern Hemisphere cities or when exploring exposures that, unlike heat waves, may occur very early or late in the calendar year.
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