Interpolation of change values

My [summary of previous iterations of qq-scaling code at CSIRO](https://github.com/climate-innovation-hub/qqscale/blob/master/old_code/README.md) says that the more recent versions "added completely individual percentile binning (100 of them) with interpolation for change values depending on where the individual daily values fell in-between percentile bins."

The [empirical quantile mapping functionality in xclim](https://xclim.readthedocs.io/en/stable/xclim.sdba.html#xclim.sdba.adjustment.EmpiricalQuantileMapping) has an interp option, but an [example](https://xclim.readthedocs.io/en/stable/notebooks/sdba.html) says "to reduce the risk of sharp change in the adjustment at the interface of the months, interp='linear' can be passed to adjust and the adjustment factors will be interpolated linearly. Ex: the factors for the 1st of May will be the average of those for april and those for may." This doesn't sound like the same type of interpolation.