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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