A Simple Algorithm to Discriminate between Meteorological and Nonmeteorological Radar Echoes

Krause, John M.

doi:10.1175/JTECH-D-15-0239.1

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

A Simple Algorithm to Discriminate between Meteorological and Nonmeteorological Radar Echoes

2016
By Krause, John M.
Source: Journal of Atmospheric and Oceanic Technology, 33(9), 1875-1885

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Details:

Journal Title:

Journal of Atmospheric and Oceanic Technology
Personal Author:

Krause, John M.
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies)

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies) Less -
Description:

Discriminating between meteorological and nonmeteorological radar returns is necessary for a number of radar applications, including hydrometeor classification, quantitative precipitation estimation (QPE), and the computation of specific differential phase KDP. The algorithm proposed, MetSignal, uses polarimetric radar data and is simple by design, allowing users to adjust its performance based on the location’s specific needs. The MetSignal algorithm is a fuzzy logic technique with a few postprocessing rules and has been selected for implementation on the WSR-88D network in the United States.
Keywords:

[+]

Algorithms Observational Techniques And Algorithms Radars/Radar Observations
Source:

Journal of Atmospheric and Oceanic Technology, 33(9), 1875-1885
DOI:

https://doi.org/10.1175/JTECH-D-15-0239.1
Document Type:

Journal Article
Funding:

Grant no. NA11OAR4320072
Rights Information:

Other
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:382193a73320b6158f544275b24f62d39ca1b2bef12aebd7feb1c346d107ba69
Download URL:

https://repository.library.noaa.gov/view/noaa/32163/noaa_32163_DS1.pdf
File Type:

[PDF-3.42 MB]