day2IDF: Calculate approximate intensity-duration-frequency (IDF)...

In metno/esd: Climate analysis and empirical-statistical downscaling (ESD) package for monthly and daily data

Calculate approximate intensity-duration-frequency (IDF) curves from daily data through a crude downscaling in timescales. Calculate the residual of a 'ds' object, i.e., the original data minus the fitted values.

Description

Calculate approximate intensity-duration-frequency (IDF) curves from daily data through a crude downscaling in timescales. Calculate the residual of a 'ds' object, i.e., the original data minus the fitted values.

Usage

day2IDF(
  x,
  L = c(1, 2, 3, 6, 12, 24),
  tau = 10,
  zeta = NULL,
  n0 = 365.25,
  alpha = c(1.256, 0.064),
  verbose = FALSE
)

Arguments

x	a daily station object for rainfall
L	timescale in hours
tau	return interval in years
n0	number of observations per year
alpha	best fit constant and slope for scaling factor between exponential distribution and empirical distribution taken from https://doi.org/10.1088/1748-9326/ab2bb2
verbose	a boolean; if TRUE print information about progress
exponent	for the power-law dependency between return values and timescales
cols	provies the colour pallette: default is ' rev(heat.colors)'.

Examples

data(bjornholt)
z <- IDF(bjornholt)
View(z)

metno/esd documentation built on Feb. 25, 2025, 6:44 p.m.