qm.empqm.bulk.fa: The actual QM function for the bulk series considering...
In SvenKotlarski/qmCH2018: Quantile Mapping for CH2018

Description Usage Arguments Value Author(s) Examples

qm.empqm.bulk.fa is the actual QM function for the bulk series. Equivalent to function qm.empqm.doy.fa but for the bulk series, i.e. disregarding a day-of-year (DOY) dependence of the correction function.

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qm.empqm.bulk.fa(series, cdf.mod.bulk, cdf.obs.bulk, cdf.obs.wet.bulk,
  cor.fun.bulk, fwet.obs, fwet.mod, pr.wet, 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]).
`cdf.obs.bulk`	CDF of the observed time series in the calibration period, estimated with function qm.cdf.bulk (vector[nquantiles]).
`cdf.obs.wet.bulk`	CDF of the observed time series in the calibration period for wet days only, estimated with function qm.cdf.bulk (vector[nquantiles]).
`fwet.obs`	Observed wet day frequency (output of function qm.cdf.doy).
`fwet.mod`	Modelled wet day frequency output of function qm.cdf.doy).
`pr.wet`	Internal precipitation wet day threshold [mm/day].
`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 with frequency adaptation. Standard quantiles.
# Variable: precipitation. Observed wet day frequency of 0.9, modelled
# wet-day frequency of 0.95. Wet-day treshold of 0.1 mm/day. Linear QM,
# diagnostic terminal output.
qm.empqm.bulk.fa(series, cdf.modelled.bulk, cdf.observed.bulk, cdf.observed.wet.bulk, correction.function.bulk, 0.9, 0.95, 0.1, 'linear', 'pr', TRUE, 0.01, 0.00, 0.01)

## End(Not run)