Storm cell characteristics derived by cell-tracking algorithm celltrack - evaluation and operational visualization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F18%3AN0000073" target="_blank" >RIV/00020699:_____/18:N0000073 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.researchgate.net/publication/329040524_Storm_cell_characteristics_derived_by_cell-tracking_algorithm_CELLTRACK_-_evaluation_and_operational_visualization" target="_blank" >https://www.researchgate.net/publication/329040524_Storm_cell_characteristics_derived_by_cell-tracking_algorithm_CELLTRACK_-_evaluation_and_operational_visualization</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Storm cell characteristics derived by cell-tracking algorithm celltrack - evaluation and operational visualization

Popis výsledku v původním jazyce

poster on The 10th European Conference on Radar in Meteorology and Hydrology, Ede, Netherlands, 1. – 6. July 2018. DOI: 10.13140/RG.2.2.15997.00483 A cell-tracking algorithm CELLTRACK was developed in the Czech Hydrometeorological Institute (CHMI) in the past. It is one of many cell-tracking algorithms developed to identify and track radar reflectivity cores representing fairly well convective storm cells. Primarily, CELLTRACK determines and tracks storm cell characteristics derived from various radar products, but characteristics derived from other sources (e.g. lightning detection data) can also be used. CELLTRACK has been running routinely for several years in the CHMI. CELLTRACK results are available to forecasters and other users but their presentation is currently not suitable for routine use. The development of a suitable tool for processing and displaying of radar reflectivity cores and their characteristics is under way. The contribution describes evaluation of various radar-based storm cell characteristics identified by CELLTRACK in order to find suitable characteristics or their combination for identification of potentially severe storm cells. Storm cell characteristics connected with occurrence of hail (POH index based on Waldvogel criterium, POSH and MEHS based on HDA algorithm described by Witt, and also hail identification by polarimetric radar measurements) were verified against ground truth. The contribution also shows examples of advanced CELLTRACK visualization in a new development version of a web-based application JSMeteoView for operational displaying of radar data in the CHMI.

Název v anglickém jazyce

Storm cell characteristics derived by cell-tracking algorithm celltrack - evaluation and operational visualization

Popis výsledku anglicky

poster on The 10th European Conference on Radar in Meteorology and Hydrology, Ede, Netherlands, 1. – 6. July 2018. DOI: 10.13140/RG.2.2.15997.00483 A cell-tracking algorithm CELLTRACK was developed in the Czech Hydrometeorological Institute (CHMI) in the past. It is one of many cell-tracking algorithms developed to identify and track radar reflectivity cores representing fairly well convective storm cells. Primarily, CELLTRACK determines and tracks storm cell characteristics derived from various radar products, but characteristics derived from other sources (e.g. lightning detection data) can also be used. CELLTRACK has been running routinely for several years in the CHMI. CELLTRACK results are available to forecasters and other users but their presentation is currently not suitable for routine use. The development of a suitable tool for processing and displaying of radar reflectivity cores and their characteristics is under way. The contribution describes evaluation of various radar-based storm cell characteristics identified by CELLTRACK in order to find suitable characteristics or their combination for identification of potentially severe storm cells. Storm cell characteristics connected with occurrence of hail (POH index based on Waldvogel criterium, POSH and MEHS based on HDA algorithm described by Witt, and also hail identification by polarimetric radar measurements) were verified against ground truth. The contribution also shows examples of advanced CELLTRACK visualization in a new development version of a web-based application JSMeteoView for operational displaying of radar data in the CHMI.

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

2018

Kód důvěrnosti údajů

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