qm.empqm.doy: Short The actual QM function considering the DOY without...
In SvenKotlarski/qmCH2018: Quantile Mapping for CH2018

Description Usage Arguments Details Value Author(s) Examples

qm.empqm.doy is the actual QM function considering the day-of-year (DOY) and not considering frequency adaptation for precipitation.

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

`series`	Time series of modelled data, e.g. transient (control+) scenario series.
`doy.series`	Corresponding series of DOYs (output of function qm.doystring).
`cdf.mod`	CDF of the modelled time series in the calibration period, estimated with function qm.cdf.doy(...) (matrix[365,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`	Additive correction function (cdf A - cdf B), obtained by function qm.corfun.doy(...).

The function estimates the index (quantile) in which an observation falls with respect to the calibration period. Based on this quantile (and the DOY) a correction is applied, the final quantile map. For the 29th February the same correction function as for 1st March (DOY=60) is applied. Old and new extremes beyond the min and max percentile considered are corrected according to the correction of the min and max percentile, respectively (first and last quantile considered therefore have to be 0.01 and 0.99 -> check in function qm.doqm).

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.

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

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

## End(Not run)