Radar-based hail detection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F14%3A10291100" target="_blank" >RIV/00216208:11310/14:10291100 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68378289:_____/14:00393304

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.atmosres.2013.06.002" target="_blank" >http://dx.doi.org/10.1016/j.atmosres.2013.06.002</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.atmosres.2013.06.002" target="_blank" >10.1016/j.atmosres.2013.06.002</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Radar-based hail detection

Popis výsledku v původním jazyce

Damaging hailstorms are rare but are significant meteorological phenomena from the point of view of economic losses in central Europe. Because of the high spatial and temporal variability of hail, the proper detection of hail occurrences is almost impossible using ground station reports alone. An alternate approach uses information from weather radars. Several algorithms that use single-polarisation radar data have been developed for hail detection. In the present study, seven algorithms were tested onwell documented recent hail events from Czechia and southwest Germany from 2002 to 2011. The study aimed to find the optimal threshold values for the applications of these techniques over the Czech territory and for evaluating the climatology of hail events. The results showed that the Waldvogel technique and the NEXRAD severe hail algorithm were the most accurate methods for hail detection over the area of interest. A combined criterion was proposed based on a combination of previously

Název v anglickém jazyce

Radar-based hail detection

Popis výsledku anglicky

Damaging hailstorms are rare but are significant meteorological phenomena from the point of view of economic losses in central Europe. Because of the high spatial and temporal variability of hail, the proper detection of hail occurrences is almost impossible using ground station reports alone. An alternate approach uses information from weather radars. Several algorithms that use single-polarisation radar data have been developed for hail detection. In the present study, seven algorithms were tested onwell documented recent hail events from Czechia and southwest Germany from 2002 to 2011. The study aimed to find the optimal threshold values for the applications of these techniques over the Czech territory and for evaluating the climatology of hail events. The results showed that the Waldvogel technique and the NEXRAD severe hail algorithm were the most accurate methods for hail detection over the area of interest. A combined criterion was proposed based on a combination of previously

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Atmospheric Research

ISSN

0169-8095

e-ISSN

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Svazek periodika

144

Číslo periodika v rámci svazku

July

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

175-185

Kód UT WoS článku

000336469900013

EID výsledku v databázi Scopus

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