cdd: Calculate Consecutive Dry Days (CDD)

In rIACI: Iberian Actuarial Climate Index Calculations

Calculate Consecutive Dry Days (CDD)

Description

Calculates the maximum length of consecutive dry days.

Usage

cdd(ci, spells_can_span_years = TRUE, monthly = TRUE)

Arguments

ci	List. Climate input object created by climate_input.
spells_can_span_years	Logical. Whether spells can span across years (default is TRUE).
monthly	Logical. Whether to interpolate annual data to monthly data (default is TRUE).

Value

Data frame with dates and calculated CDD values.

Examples

# 1. Generate a daily date sequence from 1960-01-01 to 2020-12-31
dates <- seq.Date(
  from = as.Date("1960-01-01"),
  to   = as.Date("2020-12-31"),
  by   = "day"
)

# 2. Create random weather data for each date
n <- length(dates)
tmax <- runif(n, min = 5, max = 40)
tmin <- runif(n, min = -10,  max = 5)
# Example: use a Poisson distribution to simulate precipitation
prec <- rpois(n, lambda = 2)
# Random wind speeds, e.g., 0 to 10 m/s
wind <- runif(n, min = 0, max = 10)

# 3. Construct the climate_input object
ci <- climate_input(
  tmax  = tmax,
  tmin  = tmin,
  prec  = prec,
  wind  = wind,
  dates = dates
)
# Then:
# 4. Calculate annual CDD index
cdd_values <- cdd(ci, monthly = FALSE)

rIACI documentation built on April 12, 2025, 9:16 a.m.