CSIndicators (version 1.1.2)

CST_QThreshold: Transform an absolute threshold into probabilities

Description

From the user's perspective, an absolute threshold can be very useful for a specific needs (e.g.: grape variety). However, this absolute threshold could be transformed to a relative threshold in order to get its frequency in a given dataset. Therefore, the function QThreshold returns the probability of an absolute threshold. This is done by computing the Cumulative Distribution Function of a sample and leaving one out. The sample used will depend on the dimensions of the data provided and the dimension names provided in sdate_dim and memb_dim parameters:

Usage

CST_QThreshold(
  data,
  threshold,
  start = NULL,
  end = NULL,
  time_dim = "time",
  memb_dim = "member",
  sdate_dim = "sdate",
  ncores = NULL
)

Value

An 's2dv_cube' object containing the probability of an absolute threshold in the element data.

Arguments

data

An 's2dv_cube' object as provided function CST_Start or CST_Load in package CSTools.

threshold

An 's2dv_cube' object as output of a 'CST_' function in the same units as parameter 'data' and with the common dimensions of the element 'data' of the same length. A single scalar is also possible.

start

An optional parameter to defined the initial date of the period to select from the data by providing a list of two elements: the initial date of the period and the initial month of the period. By default it is set to NULL and the indicator is computed using all the data provided in data.

end

An optional parameter to defined the final date of the period to select from the data by providing a list of two elements: the final day of the period and the final month of the period. By default it is set to NULL and the indicator is computed using all the data provided in data.

time_dim

A character string indicating the name of the temporal dimension. By default, it is set to 'time'. More than one dimension name matching the dimensions provided in the object data$data can be specified. This dimension is required to subset the data in a requested period.

memb_dim

A character string indicating the name of the dimension in which the ensemble members are stored.

sdate_dim

A character string indicating the name of the dimension in which the initialization dates are stored.

ncores

An integer indicating the number of cores to use in parallel computation.

Details

• If a forecast (hindcast) has dimensions member and start date, and both must be used in the sample, their names should be passed in sdate_dim and memb_dim.

• If a forecast (hindcast) has dimensions member and start date, and only start date must be used in the sample (the calculation is done in each separate member), memb_dim can be set to NULL.

• If a reference (observations) has start date dimension, the sample used is the start date dimension.

• If a reference (observations) doesn't have start date dimension, the sample used must be especified in sdate_dim parameter.

Examples

threshold <- 26
exp <- NULL
exp$data <- array(abs(rnorm(112)*26), dim = c(member = 7, sdate = 8, time = 2))
class(exp) <- 's2dv_cube'
exp_probs <- CST_QThreshold(exp, threshold)

exp$data <- array(abs(rnorm(5 * 3 * 214 * 2)*50),
                 c(member = 5, sdate = 3, time = 214, lon = 2)) 
exp$attrs$Dates <- c(seq(as.Date("01-05-2000", format = "%d-%m-%Y"), 
                        as.Date("30-11-2000", format = "%d-%m-%Y"), by = 'day'),
                    seq(as.Date("01-05-2001", format = "%d-%m-%Y"), 
                        as.Date("30-11-2001", format = "%d-%m-%Y"), by = 'day'),
                    seq(as.Date("01-05-2002", format = "%d-%m-%Y"), 
                        as.Date("30-11-2002", format = "%d-%m-%Y"), by = 'day'))
dim(exp$attrs$Dates) <- c(sdate = 3, time = 214)
class(exp) <- 's2dv_cube'
exp_probs <- CST_QThreshold(exp, threshold, start = list(21, 4), 
                           end = list(21, 6))