Characterization and Evaluation of Hybrid Polarization Observation of Precipitation

Abstract Transmitting an arbitrary state of polarization while receiving horizontal–vertical polarization states is termed the hybrid polarization mode of operation. A theoretical model is developed for hybrid mode dual-polarization measurements in terms of the covariance matrix under linear horizontal–vertical polarization basis. The cross polarization encountered introduces biases in the copolar parameters estimated in the hybrid mode. Such biases are investigated for different precipitation types and propagation effects resulting from hydrometeor orientation and antenna properties. Polarimetric data measured by the Colorado State University–University of Chicago–Illinois State Water Survey (CSU–CHILL) radar transmitting horizontal–vertical polarization states is alternately used to demonstrate the measurement accuracy that would be expected in different storm scenarios observed in the hybrid mode.

[1]  V. Chandrasekar,et al.  Axis ratios and oscillations of raindrops , 1988 .

[2]  Jerry M. Straka,et al.  Bulk Hydrometeor Classification and Quantification Using Polarimetric Radar Data: Synthesis of Relations , 2000 .

[3]  V. Chandrasekar,et al.  Time-varying ice crystal orientation in thunderstorms observed with multiparameter radar , 1996, IEEE Trans. Geosci. Remote. Sens..

[4]  Alexander V. Ryzhkov,et al.  Polarimetric Radar Observations and Interpretation of Co-Cross-Polar Correlation Coefficients , 2002 .

[5]  V. N. Bringi,et al.  Potential Use of Radar Differential Reflectivity Measurements at Orthogonal Polarizations for Measuring Precipitation , 1976 .

[6]  V. Chandrasekar,et al.  Multiparameter Radar Observations of Time Evolution of Convective Storms: Evaluation of Water Budgets and Latent Heating Rates , 1998 .

[7]  Y. Antar,et al.  On the relationship between the degree of preferred orientation in precipitation and dual‐polarization radar echo characteristics , 1987 .

[8]  Fuk K. Li,et al.  Symmetry properties in polarimetric remote sensing , 1992 .

[9]  V. Bringi,et al.  Studies of the Polarimetric Covariance Matrix. Part II: Modeling and Polarization Errors , 2003 .

[10]  V. Chandrasekar,et al.  Polarimetric Doppler Weather Radar: Principles and Applications , 2001 .

[11]  Alexander V. Ryzhkov,et al.  Considerations for Polarimetric Upgrades to Operational WSR-88D Radars , 2000 .

[12]  Karen Andsager,et al.  Laboratory Measurements of Axis Ratios for Large Raindrops , 1999 .

[13]  Lawrence D. Carey,et al.  CSU-CHILL polarimetric radar measurements from a severe hail storm in eastern Colorado , 1998 .

[14]  Alexander V. Ryzhkov,et al.  Interpretation of Polarimetric Radar Covariance Matrix for Meteorological Scatterers: Theoretical Analysis , 2001 .

[15]  G. Mccormick,et al.  Principles for the radar determination of the polarization properties of precipitation , 1975 .

[16]  K. Tragl,et al.  Polarimetric radar backscattering from reciprocal random targets , 1990 .

[17]  V. Chandrasekar,et al.  Classification of Hydrometeors Based on Polarimetric Radar Measurements: Development of Fuzzy Logic and Neuro-Fuzzy Systems, and In Situ Verification , 2000 .