Comparison of Simulated Rain Rates from Disdrometer Data Employing Polarimetric Radar Algorithms

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  • 1 NOAA, Environmental Research Laboratories, National Severe Storms Laboratory, Norman, Oklahoma
  • | 2 The Johns Hopkins University, Applied Physics Laboratory, Laurel, Maryland
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Abstract

Disdrometer data collected during three spring days, with moderate to heavy rain in the Norman, Oklahoma region are used with various polarimetric radar algorithms to simulate rain rates. It is assumed that available measurables are 1) reflectivity at horizontal polarization, ZH, 2) differential reflectivity, ZDR (ratio of horizontal to vertical reflectivity factors in dB), and 3) differential propagation constant, KDP. The accuracies of the simulated rain rates from ZH, ZDR, and KDP are evaluated and compared. A new algorithm that utilizes both reflectivity factor and differential propagation constant is also examined. In comparing the relative accuracies, the disdrometer-derived rain rates are assumed to be the “truth” measurements.

Abstract

Disdrometer data collected during three spring days, with moderate to heavy rain in the Norman, Oklahoma region are used with various polarimetric radar algorithms to simulate rain rates. It is assumed that available measurables are 1) reflectivity at horizontal polarization, ZH, 2) differential reflectivity, ZDR (ratio of horizontal to vertical reflectivity factors in dB), and 3) differential propagation constant, KDP. The accuracies of the simulated rain rates from ZH, ZDR, and KDP are evaluated and compared. A new algorithm that utilizes both reflectivity factor and differential propagation constant is also examined. In comparing the relative accuracies, the disdrometer-derived rain rates are assumed to be the “truth” measurements.

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