View source: R/dart_prep_streamflow.R
Model3SdErrClimTaper models three-sigma errors (same units as input)
as smallest (qntlIncpt intercept is some climatological quantile) at 
"climatological" observations (qntlClim, e.g. median = .5) and grow to
some maximum percent error (pctErr). This is expressed by 
quantile(data, qntlIncpt) + pmin( pctErr*data,
pctErr*abs(data-quantile(data, qntlClim)) )
1 2  | Model3SdErrClimTaper(data, qntlIncpt = 0.05, qntlClim = 0.5,
  pctErr = 0.15)
 | 
data | 
 Numeric The values for which errors are to be modeled.  | 
qntlIncpt | 
 Numeric The quantile of historical observations to be used as minimum error or intercept.  | 
qntlClim | 
 Numeric The quantile of historical observations to be used as observation value of minimum error.  | 
pctErr | 
 Numeric The percent error associated with the observations.  | 
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