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Proceedings Paper

Radar volume reflectivity estimation using an array of ground-based rainfall drop size detectors
Author(s): John Lane; Francis Merceret; Takis Kasparis; D. Roy; Brad Muller; W. Linwood Jones
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Paper Abstract

Rainfall drop size distribution (DSD) measurements made by single disdrometers at isolated ground sites have traditionally been used to estimate the transformation between weather radar reflectivity Z and rainfall rate R. Despite the immense disparity in sampling geometries, the resulting Z-R relation obtained by these single point measurements has historically been important in the study of applied radar meteorology. Simultaneous DSD measurements made at several ground sites within a microscale area may be used to improve the estimate of radar reflectivity in the air volume surrounding the disdrometer array. By applying the equations of motion for non-interacting hydrometers, a volume estimate of Z is obtained from the array of ground based disdrometers by first calculating a 3D drop size distribution. The 3D-DSD model assumes that only gravity and terminal velocity due to atmospheric drag within the sampling volume influence hydrometer dynamics. The sampling volume is characterized by wind velocities, which are input parameters to the 3D-DSD model, composed of vertical and horizontal components. Reflectivity data from four consecutive WSR-88D volume scans, acquired during a thunderstorm near Melbourne, FL on June 1, 1997, are compared to data processed using the 3D-DSD model and data form three ground based disdrometers of a microscale array.

Paper Details

Date Published: 4 August 2000
PDF: 12 pages
Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); doi: 10.1117/12.395088
Show Author Affiliations
John Lane, Univ. of Central Florida (United States)
Francis Merceret, NASA Kennedy Space Ctr. (United States)
Takis Kasparis, Univ. of Central Florida (United States)
D. Roy, NASA Goddard Space Flight Ctr. (United States)
Brad Muller, Embry-Riddle Aeronautical Univ. (United States)
W. Linwood Jones, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 4052:
Signal Processing, Sensor Fusion, and Target Recognition IX
Ivan Kadar, Editor(s)

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