qm.empqm.bulk: The actual QM function for the bulk series without frequency...
In SvenKotlarski/qmCH2018: Quantile Mapping for CH2018

Description Usage Arguments Value Author(s) Examples

qm.empqm.bulk is the actual QM function for the bulk series. Equivalent to function qm.empqm.doy but for the bulk series, i.e. disregarding a day-of-year (DOY) dependence of the correction function, and without frequency adaptation.

1 2	qm.empqm.bulk(series, cdf.mod.bulk, cor.fun.bulk, method = c("linear", "bin"), var, output.diag = FALSE, minq, maxq, incq)

`series`	Time series of modelled data, e.g. transient (control+) scenario series.
`cdf.mod.bulk`	CDF of the modelled time series in the calibration period, estimated with function qm.cdf.bulk (vector[nquantiles]).
`method`	QM method: "binary" -> correction for closest quantile is used, "linear" -> linear interpolation of correction function between lower and upper quantile.
`var`	Variable to correct.
`output.diag`	Diagnostic QM console output (TRUE) or not (FALSE); default: FALSE.
`minq`	Minimum quantile for correction function [0.01 .. 0.99]; note: should not be 0 (for correct handling of extremes)!
`maxq`	Maximum quantile for correction function [0.01 .. 0.99]; note: should not be 1 (for correct handling of extremes)!
`incq`	Quantile increment for correction function (bin size).
`corr.fun.bulk`	Additive correction function (cdf A - cdf B), obtained by function qm.corfun.bulk.

List of 3: $qm.input.series: Input series to QM (input argument series). $qm.corrected.series: Corrected series. $quantile.index: A series of quantile indices wrt. simulated series in calibration period.

Sven Kotlarski (MeteoSwiss), Jan Rajczak (ETH Zurich)

## Not run: 
# Carry out bulk QM without frequency adaptation. Standard quantiles.
# Variable: precipitation. Linear QM, diagnostic terminal output.
qm.empqm.bulk(series, cdf.modelled.bulk, correction.function.bulk, 'linear', 'pr', TRUE, 0.01, 0.00, 0.01)

## End(Not run)