climdex.pcic (version 1.1-1)

climdexInput.raw: Any of tmin (daily minimum temperature), tmax (daily maximum temperature), tavg (daily mean temperature), and prec (daily precipitation) can be passed in. tavg will be derived from the mean of tmax and tmin if it is not supplied. If any of tmin, tmax, and prec are not supplied, the set of indices which can be calculated will be limited to indices which do not involve the missing variables.

Description

For all data supplied, the associated dates must also be supplied.

Usage

climdexInput.raw(tmax = NULL, tmin = NULL, prec = NULL,
  tmax.dates = NULL, tmin.dates = NULL, prec.dates = NULL,
  base.range = c(1961, 1990), n = 5, northern.hemisphere = TRUE,
  tavg = NULL, tavg.dates = NULL, quantiles = NULL, temp.qtiles = c(0.1,
  0.9), prec.qtiles = c(0.95, 0.99), max.missing.days = c(annual = 15,
  monthly = 3), min.base.data.fraction.present = 0.1)

Arguments

tmax

Daily maximum temperature data.

tmin

Daily minimum temperature data.

prec

Daily total precipitation data.

tavg

Daily mean temperature 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.

tavg.dates

Dates for the daily mean temperature 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

northern.hemisphere

Whether this point is in the northern hemisphere.

quantiles

Threshold quantiles for supplied variables.

max.missing.days

Vector containing thresholds for number of days allowed missing per year (annual) and per month (monthly).

Value

• An object of class climdexInput-class for use with other climdex methods.

References

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

See Also

climdex.pcic-package, strptime.

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.
ci <- climdexInput.raw(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))