Improvements to Severe Storm Nowcasting in the Czech Hydrometeorological Institute

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F22%3AN0000119" target="_blank" >RIV/00020699:_____/22:N0000119 - isvavai.cz</a>

Výsledek na webu

<a href="https://enacshare.epfl.ch/dUQ4fCXGYPh3RbcKWFpwL#" target="_blank" >https://enacshare.epfl.ch/dUQ4fCXGYPh3RbcKWFpwL#</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Improvements to Severe Storm Nowcasting in the Czech Hydrometeorological Institute

Popis výsledku v původním jazyce

Contribution at ERAD 2022 conference, Locarno, Switzerland, 29.8.-2.9.2022. Abstract: An updated application JSMeteoView2 for displaying and analyzing of radar and other remote sensing data over various geographical layers has been developed. It is used operationally in CHMI forecast offices as a primary application for displaying of radar and other remote sensing data. Part of this application is also a new implementation of CELLTRACK, a set of utilities for identification of convective storms from radar data, calculation of their characteristics based on radar and lightning data and tracking their development. We have implemented several storm cell characteristics based on radar reflectivity and hail detection algorithms. Since the evaluation using grid fields has its limitations, we alternatively tried to use object-oriented approach based on CELLTRACK identified storm cells. In case of hail detection algorithms we used hail records from European Severe Weather Database and also 24/7 observations from Czech professional meteorological stations in order to try to evaluate also the false alarms of hail detection. The contribution will present implementation of storm cell characteristics into CELLTRACK, results of their evaluation and introduce JSMeteoView2 application with main focus on displaying storm cell characteristics from the updated CELLTRACK tool.

Název v anglickém jazyce

Improvements to Severe Storm Nowcasting in the Czech Hydrometeorological Institute

Popis výsledku anglicky

Contribution at ERAD 2022 conference, Locarno, Switzerland, 29.8.-2.9.2022. Abstract: An updated application JSMeteoView2 for displaying and analyzing of radar and other remote sensing data over various geographical layers has been developed. It is used operationally in CHMI forecast offices as a primary application for displaying of radar and other remote sensing data. Part of this application is also a new implementation of CELLTRACK, a set of utilities for identification of convective storms from radar data, calculation of their characteristics based on radar and lightning data and tracking their development. We have implemented several storm cell characteristics based on radar reflectivity and hail detection algorithms. Since the evaluation using grid fields has its limitations, we alternatively tried to use object-oriented approach based on CELLTRACK identified storm cells. In case of hail detection algorithms we used hail records from European Severe Weather Database and also 24/7 observations from Czech professional meteorological stations in order to try to evaluate also the false alarms of hail detection. The contribution will present implementation of storm cell characteristics into CELLTRACK, results of their evaluation and introduce JSMeteoView2 application with main focus on displaying storm cell characteristics from the updated CELLTRACK tool.

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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