Polarimetric Doppler Weather Radar

By Professor V. N. Bringi, Venkatachalam Chandrasekar. 2001

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Assimilation of Simulated Polarimetric Radar Data for a Convective Storm Using the Ensemble Kalman Filter. Part I: Observation Operators for Reflectivity and Polarimetric Variables (2008, background): “…ice and is highly correlated with Zh,r, showing sensitivity only to the oriented oblate raindrops so that it makes a good indicator of the presence of water within the rain–ice mixture, which enables the use of the concept of the deviation analysis from the rain line (Bringi and Chandrasekar 2001).”
TRMM PR Standard Algorithm 2A23 and its Performance on Bright Band Detection (2009, background): “(Note that the decrease of sensitivity does not change Z because the radar equation (e.g., Battan 1973; Meneghini and Kozu 1990; Bringi and Chandrasekar 2001) accounts for the decreased received power.)”
The Bias in Moment Estimators for Parameters of Drop Size Distribution Functions: Sampling from Exponential Distributions (2005, methodology): “while a third form using the normalized concentration parameter NW (Bringi and Chandrasekar 2001) is”
The Bias and Error in Moment Estimators for Parameters of Drop Size Distribution Functions: Sampling from Gamma Distributions (2006, background): “Another formulation of the gamma DSD, involving a normalized concentration parameter Nw (Bringi and Chandrasekar 2001) that replaces n1 or NT, has come into use: n(D) 5 3 128 N w (m 1 4)m14 G(m 1 4) D Dm m exp[ (m 1 4)D/D m ].”