Polarimetric Radar Characteristics of Melting Hail. Part III: Validation of the Algorithm for Hail Size Discrimination

Ortega, Kiel L.; Krause, John M.; Ryzhkov, Alexander V.

doi:10.1175/JAMC-D-15-0203.1

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Polarimetric Radar Characteristics of Melting Hail. Part III: Validation of the Algorithm for Hail Size Discrimination

2016
By Ortega, Kiel L. ; Krause, John M. ; Ryzhkov, Alexander V.
Source: Journal of Applied Meteorology and Climatology, 55(4), 829-848

[PDF-3.98 MB]

Details You May Also Like

Details:

Journal Title:

Journal of Applied Meteorology and Climatology
Personal Author:

Ortega, Kiel L. ; Krause, John M. ; Ryzhkov, Alexander V.

Ortega, Kiel L. ; Krause, John M. ; Ryzhkov, Alexander V. Less -
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:

This study is the third part of a paper series investigating the polarimetric radar properties of melting hail and application of those properties for operational polarimetric hail detection and determination of its size. The results of theoretical simulations in Part I were used to develop a hail size discrimination algorithm (HSDA) described in Part II. The HSDA uses radar reflectivity Z, differential reflectivity ZDR, and cross-correlation coefficient ρhv along with melting-level height within a fuzzy-logic scheme to distinguish among three hail size classes: small hail (with diameter D < 2.5 cm), large hail (2.5 < D < 5.0 cm), and giant hail (D > 5.0 cm). The HSDA validation is performed using radar data collected by numerous WSR-88D sites and more than 3000 surface hail reports obtained from the Severe Hazards Analysis and Verification Experiment (SHAVE). The original HSDA version was modified in the process of validation, and the modified algorithm demonstrates probability of detection of 0.594, false-alarm ratio of 0.136, and resulting critical success index (CSI) equal to 0.543. The HSDA outperformed the current operational single-polarization hail detection algorithm, which only provides a single hail size estimate per storm and is characterized by CSI equal to 0.324. It is shown that HSDA is particularly sensitive to the quality of ZDR measurements, which might be affected by possible radar miscalibration and anomalously high differential attenuation.
Keywords:

[+]

Algorithms Convective Storms Hail Radars/Radar Observations Remote Sensing
Source:

Journal of Applied Meteorology and Climatology, 55(4), 829-848
DOI:

https://doi.org/10.1175/JAMC-D-15-0203.1
Document Type:

Journal Article
Funding:

Grant no. NA11OAR4320072
Rights Information:

Other
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:fe03d0789efa9f87e1adb93f6aaa063a0bf428a6fe6f4708d0e956e6544dc4bb
Download URL:

https://repository.library.noaa.gov/view/noaa/32171/noaa_32171_DS1.pdf
File Type:

No Additional Files

More +

Polarimetric Radar Characteristics of Melting Hail. Part III: Validation of the Algorithm for Hail Size Discrimination

Details:

Supporting Files

You May Also Like