get.outofbase.quantiles: Method for getting threshold quantiles for use in computing...

In climdex.pcic: PCIC Implementation of Climdex Routines

Description

This function creates threshold quantiles for use with climdexInput.raw or climdexInput.csv.

Usage

get.outofbase.quantiles(tmax = NULL, tmin = NULL, prec = NULL,
  tmax.dates = NULL, tmin.dates = NULL, prec.dates = NULL,
  base.range = c(1961, 1990), n = 5, temp.qtiles = c(0.1, 0.9),
  prec.qtiles = c(0.95, 0.99), min.base.data.fraction.present = 0.1)

Arguments

tmax	Daily maximum temperature data.
tmin	Daily minimum temperature data.
prec	Daily total precipitation data.
tmax.dates	Dates for the daily maximum temperature data.
tmin.dates	Dates for the daily minimum temperature data.
prec.dates	Dates for the daily total precipitation data.
base.range	Years to use for the baseline.
n	Number of days to use as window for daily quantiles.
temp.qtiles	Quantiles to calculate for temperature variables
prec.qtiles	Quantiles to calculate for precipitation
min.base.data.fraction.present	Minimum fraction of base data that must be present for quantile to be calculated for a particular day
quantiles	Threshold quantiles for supplied variables.

Details

This function takes input climate data at daily resolution, and produces as output a set of threshold quantiles. This data structure can then be passed to climdexInput.raw or climdexInput.csv.

For more details on arguments, see climdexInput.raw.

Value

A set of threshold quantiles

Note

Units are assumed to be mm/day for precipitation and degrees Celsius for temperature. No units conversion is performed internally.

References

http://etccdi.pacificclimate.org/list_27_indices.shtml

See Also

climdex.pcic-package, climdexInput.raw.

Examples

library(PCICt)

## Create a climdexInput object from some data already loaded in and
## ready to go.

## Parse the dates into PCICt.
tmax.dates <- as.PCICt(do.call(paste, ec.1018935.tmax[,c("year",
"jday")]), format="%Y %j", cal="gregorian")
tmin.dates <- as.PCICt(do.call(paste, ec.1018935.tmin[,c("year",
"jday")]), format="%Y %j", cal="gregorian")
prec.dates <- as.PCICt(do.call(paste, ec.1018935.prec[,c("year",
"jday")]), format="%Y %j", cal="gregorian")

## Load the data in.
quantiles <- get.outofbase.quantiles(ec.1018935.tmax$MAX_TEMP,
ec.1018935.tmin$MIN_TEMP, ec.1018935.prec$ONE_DAY_PRECIPITATION,
tmax.dates, tmin.dates, prec.dates, base.range=c(1971, 2000))

climdex.pcic documentation built on March 26, 2020, 7:17 p.m.