A Simple Hybrid Technique to Reduce Bias of Copolar Correlation Coefficient Estimates
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A Simple Hybrid Technique to Reduce Bias of Copolar Correlation Coefficient Estimates
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    J. Atmos. Oceanic Technol. (2019) 36 (9): 1813–1833.
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    Estimates of copolar correlation coefficient |ρhv(0)| are one of the essential products generated by polarimetric weather radars because they are used to discriminate among different scatterer types. In theory, estimates of |ρhv(0)| take values between zero and one. But, statistical errors may cause the estimates to take values that are outside this interval, in which case they are deemed unusable. This effect is exacerbated if the noise contamination is significant. In addition, even valid |ρhv(0)| estimates can introduce excessive errors in echo classification if not sufficiently accurate and precise. Consequently, it is vital to produce the |ρhv(0)| fields populated with estimates of the acceptable accuracy as well as precision and with a minimal number of invalid estimates. To improve |ρhv(0)| estimation, a simple hybrid technique which produces estimates by combining the outputs of the two previously proposed estimators and the conventional one is presented herein. The technique generates estimates with reduced bias compared to previously proposed estimators. Bias reduction results in an increased number of valid estimates, which translates into improved |ρhv(0)| fields.
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