Use of polarimetric data for better analyses of convective storm characteristics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F18%3AN0000079" target="_blank" >RIV/00020699:_____/18:N0000079 - isvavai.cz</a>

Result on the web

<a href="https://www.researchgate.net/publication/329091992_Use_of_polarimetric_data_for_better_analyses_of_convective_storm_characteristics" target="_blank" >https://www.researchgate.net/publication/329091992_Use_of_polarimetric_data_for_better_analyses_of_convective_storm_characteristics</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Use of polarimetric data for better analyses of convective storm characteristics

Original language description

poster on The 10th European Conference on Radar in Meteorology and Hydrology, Ede, Netherlands, 1. – 6. July 2018. DOI: 10.13140/RG.2.2.28878.10561 In 2015 the Czech weather radar network (CZRAD), consisting of two radar sites, was significantly modernized by the new dual-polarization C-band 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. These are column-like features with positive ZDR values which can reach altitudes up to a few 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. This study sets the starting point in investigation of potencial of polarimetric data use for a better estimation of storm cores behavior, especially their tendency to get stronger or weaker in the next 5 to 15 minutes based on the detection of ZDR-columns. Such knowledge could notably help to forecasters with isuing of the severe weather warnings, especially in cases of flash floods and severe hailstorms. In the present analysis we focused on several selected situations with isolated hail producing supercells, heavy rain producing multicellular systems and also derecho producing MCS’s which occurred during the storm seasons of 2016 and 2017. We studied the ability of data from ZDR-column detection (its area, vertical development, integrated spatial volume and also their temporal variations) to predict intensity of the convective storm and its accompanied phenomena in the next tens of minutes.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2018

Confidentiality

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