Description Usage Arguments Details Value Examples
The function approxQ
interpolates and extrapolates a time
series of probabilities along a given set of quantiles from a flow duration
curve.
1 | approxQ(pts, fdc)
|
pts |
A numerical vector containing a time series of streamflow
probabilities. The probabilities can be either nonexceedance or exceedance
probabilities, as long as they correspond to the probabilities in
|
fdc |
A data frame of two numerical variables. The first, |
The interpolation is accomplished by converting streamflows to the
common logarithms of streamflow and converting the probabilites to standard
normal quantlies. The approx
is used to then linearly
interpolate the standard normal quantiles against the common logarithms of
streamflow.
Probabilites in pts
that are beyond the maximum value in fdc$p
are extrapolated by extending the line between the two greatest quantiles of
the flow duration curve.
Similarly, probabilites in pts
that are below the minimum value in
fdc$p
are extrapolated by extending the line between the two smallest
quantiles of the flow duration curve.
A list of three elements:
pts |
The input time series of streamflow probabilites. |
fdc |
The input flow duration curve, with
addition of the common logarithm of streamflow ( |
targetFlow |
The
resulting conversion of |
1 2 3 4 5 6 7 8 |
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