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Estimating the Most Steady Frame of Reference from Doppler Radar Data

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  • 1 NOAA/National Severe Storms Laboratory, Boulder, Colorado
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Abstract

A method is described to determine the most steady frame of reference of a weather system from data from one or more Doppler radars at three analysis times. The most steady frame of reference is that frame in which the velocity field displays the least mean-square local rate of change. The method makes several improvements on previous attempts: it accommodates data from both stationary and airborne radars, spurious solutions are eliminated, a bias in the solution of the velocity of the most steady frame is removed, and statistical aspects of the formulation are improved.

Corresponding author address: Dr. Thomas Matejka, NOAA/NSSL/Forecast Research and Development Division, Mesoscale Research Boulder, Mail Code N/C/MRD, 325 Broadway, Boulder, CO 80303-3328. Email: matejka@mrd100.nssl.ucar.edu

Abstract

A method is described to determine the most steady frame of reference of a weather system from data from one or more Doppler radars at three analysis times. The most steady frame of reference is that frame in which the velocity field displays the least mean-square local rate of change. The method makes several improvements on previous attempts: it accommodates data from both stationary and airborne radars, spurious solutions are eliminated, a bias in the solution of the velocity of the most steady frame is removed, and statistical aspects of the formulation are improved.

Corresponding author address: Dr. Thomas Matejka, NOAA/NSSL/Forecast Research and Development Division, Mesoscale Research Boulder, Mail Code N/C/MRD, 325 Broadway, Boulder, CO 80303-3328. Email: matejka@mrd100.nssl.ucar.edu

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