Abstract
Quantitative precipitation estimation (QPE) is the subject of this chapter. A summary of various radar rainfall relations and their sensitivity to variability of drop-size distributions (DSD) at S, C, and X bands is presented. Emphasized is the algorithm based on the specific attenuation A. Various advantages of the R (A) methodology are discussed including its low sensitivity to the DSD variability and its immunity to radar miscalibration, partial beam blockage, and wet radome. The impact of contamination by hail and bright band on the performance of radar rainfall estimators is examined, and methods for mitigation of such contamination are suggested.
Large-scale validation of various QPE techniques is overviewed with the focus on the performance of the rainfall estimation algorithms which were tested on the US WSR-88D network of operational radars.
The problem of radar measurement of snow is addressed in the last section of the chapter. The challenges with reflectivity-based estimates of snow water equivalent rate are described, and possible polarimetric methodologies for snow measurements are outlined.
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Ryzhkov, A.V., Zrnic, D.S. (2019). Polarimetric Measurements of Precipitation. In: Radar Polarimetry for Weather Observations. Springer Atmospheric Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-05093-1_10
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