ClimProjDiags (version 0.3.3)

Climdex: Wrapper for applying the climdex routine ETCCDI climate change indices to n-dimensional arrays.

Description

This function computes the t90p, t10p, cdd or rx5day indices from n-dimensional arrays.

Usage

Climdex(
  data,
  metric,
  threshold = NULL,
  base.range = NULL,
  dates = NULL,
  timedim = NULL,
  calendar = NULL,
  ncores = NULL
)

Value

A list of length 2:

• $result, an array with the same dimensions as the input array, except for the temporal dimension which is renamed to 'year', moved to the first dimension position and reduce to annual resolution.

• $years, a vector of the corresponding years.

Arguments

data

A numeric n-dimensional array containing daily maximum or minimum temperature, wind speed or precipitation amount.

metric

The metric to be computed, either 't90p', 't10p', 'Wx', 'cdd' or 'rx5day'.

threshold

For the 't90p' and 't10p' metrics, an array of the 90th/10th percentiles must be included. This parameter can be computed with the Threshold function.

base.range

The years used for the reference period. If NULL (by default), all years are used.

dates

A vector of dates with a calendar attributes. If NULL (by default), the 'time' attributes of parameter 'data' are considered.

timedim

An integer number indicating the position of the time dimension in the parameter data. If NULL (by default), the dimension called 'time' in parameter data is considered as temporal dimension.

calendar

A character indicating the calendar type.

ncores

The number of cores to be used when computing the index.

References

David Bronaugh for the Pacific Climate Impacts Consortium (2015). climdex.pcic: PCIC Implementation of Climdex Routines. R package version 1.1-6. http://CRAN.R-project.org/package=climdex.pcic

Examples

##Example synthetic data:
data <- 1:(2 * 3 * 372 * 1)
dim(data) <- c(lon = 2, lat = 3, time = 372, model = 1)
time <- c(seq(ISOdate(1900, 1, 1), ISOdate(1900, 1, 31), "day"), 
         seq(ISOdate(1901, 1, 1), ISOdate(1901, 1, 31), "day"),
         seq(ISOdate(1902, 1, 1), ISOdate(1902, 1, 31), "day"),
         seq(ISOdate(1903, 1, 1), ISOdate(1903, 1, 31), "day"),
         seq(ISOdate(1904, 1, 1), ISOdate(1904, 1, 31), "day"),
         seq(ISOdate(1905, 1, 1), ISOdate(1905, 1, 31), "day"),
         seq(ISOdate(1906, 1, 1), ISOdate(1906, 1, 31), "day"),
         seq(ISOdate(1907, 1, 1), ISOdate(1907, 1, 31), "day"),
         seq(ISOdate(1908, 1, 1), ISOdate(1908, 1, 31), "day"),
         seq(ISOdate(1909, 1, 1), ISOdate(1909, 1, 31), "day"),
         seq(ISOdate(1910, 1, 1), ISOdate(1910, 1, 31), "day"),
         seq(ISOdate(1911, 1, 1), ISOdate(1911, 1, 31), "day"))
metadata <- list(time = list(standard_name = 'time', long_name = 'time', 
                            calendar = 'gregorian', 
                            units = 'days since 1970-01-01 00:00:00', 
                            prec = 'double', 
                            dim = list(list(name = 'time', unlim = FALSE))))
attr(time, "variables") <- metadata
attr(data, 'Variables')$dat1$time <- time

thres <- rep(10, 31 * 2 * 3)
dim(thres) <- c(jdays = 31, lon = 2, lat = 3,  model = 1)
str(thres)

clim <- Climdex(data, metric = "t90p", threshold = thres)
str(clim)