Editorial Type:
Article
Article Type:
Research Article

An Evaluation of a Drop Distribution–Based Polarimetric Radar Rainfall Estimator

Edward A. Brandes National Center for Atmospheric Research,* Boulder, Colorado

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Guifu Zhang National Center for Atmospheric Research,* Boulder, Colorado

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J. Vivekanandan National Center for Atmospheric Research,* Boulder, Colorado

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Print Publication:
01 May 2003
DOI:
https://doi.org/10.1175/1520-0450(2003)042<0652:AEOADD>2.0.CO;2
Page(s):
652–660
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Abstract

A method for estimating the governing parameters of gamma drop size distributions (DSDs) and associated rainfall rates from polarimetric radar measurements at the S band is examined. The technique uses radar reflectivity at horizontal polarization, differential reflectivity, and an empirical constraining relationship between the DSD shape factor and slope parameter. Retrieved DSD parameters show good agreement with disdrometer observations. Retrieved rainfall estimates are insensitive to drop climatological regime. Comparison with fixed-form power-law estimators reveals that the constrained-gamma method outperforms reflectivity estimators and is roughly equivalent to radar reflectivity–differential reflectivity estimators optimized for local DSDs.

Corresponding author address: Dr. Edward A. Brandes, National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307. brandes@ncar.ucar.edu

Abstract

A method for estimating the governing parameters of gamma drop size distributions (DSDs) and associated rainfall rates from polarimetric radar measurements at the S band is examined. The technique uses radar reflectivity at horizontal polarization, differential reflectivity, and an empirical constraining relationship between the DSD shape factor and slope parameter. Retrieved DSD parameters show good agreement with disdrometer observations. Retrieved rainfall estimates are insensitive to drop climatological regime. Comparison with fixed-form power-law estimators reveals that the constrained-gamma method outperforms reflectivity estimators and is roughly equivalent to radar reflectivity–differential reflectivity estimators optimized for local DSDs.

Corresponding author address: Dr. Edward A. Brandes, National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307. brandes@ncar.ucar.edu

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Journal of Applied Meteorology and Climatology

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