Vaisala IRIS - Figure 13 MLHGT Algorithm Flow Diagram

Figure 13 MLHGT Algorithm Flow Diagram
The first step in the processing is to ensure only precipitation particles are being considered
for the melting level height estimates. The PreClassifier tags each range bin as being
from precipitation or non-precipitation targets. The non-precipitation flagged bins are
removed from the considered data.
The precipitating bins are then classified into 'melting snow' or 'other precipitation' by a
dedicated fuzzy algorithm known as MeltClassifier. MeltClassifier is similar to
the MeteoClassifier used in HydroClass. However, the MeltClassifier
substitutes a Signal to Noise Ratio (SNR) Membership function (MBF) in place of the melting
level height MBF used by the MeteoClassifier. The SNR MBF is configured for low SNR
to be part of the 'melting snow' and high SNR in 'other precipitation'. Other particle types
such as rain, dry snow, hail, and graupel which are normally characterized or also grouped
into the 'other precipitation' class.
IRIS Product and Display User Guide M211319EN-H
50 RESTRICTED