Abstract

Abstract. Clouds consist of water particles (hydrometeors) in different aggregate states. Above the melting layer these hydrometeors are formed mainly as ice crystals and other completely or partly frozen particles. With measurements from the C-band dual polarimetric radar POLDIRAD (Oberpfaffenhofen, Germany) the backscattered signals of the ice particles in the horizontal/vertical polarisation base were analysed. The focus is lying on the co-polar reflectivities and therefore the differential reflectivity. In the next step a simulation of the backscattered signals deliver the physical ansatz for the creation of an ice crystal class. Finally the comparison of this class with a raindrop classification is shown.

Highlights

  • The analysis of ice crystals using C-band radar is a rarely addressed topic in the hydrometeor observation

  • The paper starts with a short description of the radar hardware and measured datasets in Sect. 2 followed by the introduction of the model for the backscattering simulation of the ice particles in Sect

  • The mean squared error (MSE) reduces from MSE(ZDR)c,0◦ = 8.06 to MSE(ZDR)c,25◦ =1.21 which is a good value if we look at the variance of the data

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Summary

Introduction

The analysis of ice crystals using C-band radar is a rarely addressed topic in the hydrometeor observation. Due to their small size (typically just tenths of millimetres) it is more useful to use higher observation frequencies in the range of 100 GHz or higher with their smaller wavelengths in the area of millimetres Single ice particles have very high axial-ratio-shapes 3) and with it the usage of dual polarimetric radar The paper starts with a short description of the radar hardware and measured datasets in Sect. 2 followed by the introduction of the model for the backscattering simulation of the ice particles in Sect.

Hardware for measurement and measured signatures
POLDIRAD and the measured parameters
Analysis of the datasets
Fitting function
Simulation of backscattered signals from ice crystals
Combination of measurements with simulation results
Conclusions

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