Fuzzy Logic Based Melting Layer Recognition from 3 GHz Dual Polarization Radar: Appraisal with NWP Model and Radio Sounding Observations

摘要: The advent of polarimetry makes it possible to categorize hydrometeor inferences more accurately by providing detailed information the scattering properties. In light this, authors have developed a fuzzy logic based system for recognition melting layer in atmosphere. is on characterizing scatterers from non-melting using five crisp inputs, namely, horizontal reflectivity (Z H), differential DR), co-polar correlation coefficient (ρ HV), linear depolarization ratio (LDR) and height radar measurements (H). For implementation recognition, study employs dual polarized signatures 3 GHz Chilbolton Advanced Meteorological Radar (CAMRA). Furthermore, simple but effective averaging procedure level estimation volume RHI scan proposed. proposed scheme has been evaluated with Weather Research Forecasting (WRF) model simulated radio soundings retrieved over total 84 scan-based bright band cases. results confirm that estimated heights method are good agreement WRF sounding observations. estimates correspond R 2 RMSE values 0.92 0.24 km, respectively, when compared soundings, 0.93 0.21 results. Moreover, related reported as 0.22 km respectively between retrievals. This implies downscaled modelled may also be used operational or research needs.