Use of polarimetric radar data for better nowcasting of convective storm severity

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F24%3AN0000112" target="_blank" >RIV/00020699:_____/24:N0000112 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Use of polarimetric radar data for better nowcasting of convective storm severity

Popis výsledku v původním jazyce

POSTER conference: 12th European Conference on Radar in Meteorology and Hydrology, 9.-13.9.2024. Rome, Italy Since 2015 the Czech weather radar network (CZRAD) consists of two dual-pol C-band weather radars. This fact allows us to use polarimetric radar data for many purposes including a better correction for attenuation which can give us a better data of precipitation estimations, better erasing of ground clutters and WLAN interferences or a better detection of hailstorms. Use of polarimetric data also should allow us to identify updrafts of convective storm cells based on the detection of so called ZDR-columns and newly also KDP-columns. These are column-like features with positive ZDR and KDP values which can reach altitudes up to several kilometers above the freezing level because of presence of liquid water droplets in the warmer updraft air and also their ability to stay in supercooled state for some time in a rapidly rising air parcel. The main goal of this study is verification of potencial of polarimetric data for a better nowcasting of storm cores behavior based on the detection of ZDR-columns and KDP-columns. Such a knowledge could notably help forecasters with severe weather warnings, especially in cases of severe hailstorms and flash floods. In the present analysis we have focused on case studies of several selected situations with large hail produced by long lived supercells and flash floods which occurred during the storm seasons since 2018 to 2023. We studied the ability of various data from ZDR- and KDP-column detection (its area, vertical development, integrated spatial volume and also their temporal variations) to help to predict severe behavior of the convective storms and their accompanied phenomena.

Název v anglickém jazyce

Use of polarimetric radar data for better nowcasting of convective storm severity

Popis výsledku anglicky

POSTER conference: 12th European Conference on Radar in Meteorology and Hydrology, 9.-13.9.2024. Rome, Italy Since 2015 the Czech weather radar network (CZRAD) consists of two dual-pol C-band weather radars. This fact allows us to use polarimetric radar data for many purposes including a better correction for attenuation which can give us a better data of precipitation estimations, better erasing of ground clutters and WLAN interferences or a better detection of hailstorms. Use of polarimetric data also should allow us to identify updrafts of convective storm cells based on the detection of so called ZDR-columns and newly also KDP-columns. These are column-like features with positive ZDR and KDP values which can reach altitudes up to several kilometers above the freezing level because of presence of liquid water droplets in the warmer updraft air and also their ability to stay in supercooled state for some time in a rapidly rising air parcel. The main goal of this study is verification of potencial of polarimetric data for a better nowcasting of storm cores behavior based on the detection of ZDR-columns and KDP-columns. Such a knowledge could notably help forecasters with severe weather warnings, especially in cases of severe hailstorms and flash floods. In the present analysis we have focused on case studies of several selected situations with large hail produced by long lived supercells and flash floods which occurred during the storm seasons since 2018 to 2023. We studied the ability of various data from ZDR- and KDP-column detection (its area, vertical development, integrated spatial volume and also their temporal variations) to help to predict severe behavior of the convective storms and their accompanied phenomena.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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