Then how do we approach forecasting QPF , Probabilistically?
•For lighter, more frequent events.  
–MOS-type non-linear statistical approaches MAKE SENSE.
•Provide WELL CALIBRATED  probabilities.
–Calibrated ensemble methods also work well
•may be more computationally expensive in long run.
–Statistical-man mix may be an option. Since a forecaster might be able to take into account the predictability of the pattern.
• a person might be able to combine information from ensemble and statistical methods to adjust POPS (this is already being done at HPC in the 3-7 day range).