Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/27415
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dc.contributor.authorSpiridonov, Vladoen_US
dc.contributor.authorSladić, Nen_US
dc.contributor.authorJakimovski, Boroen_US
dc.contributor.authorĆurić, Men_US
dc.date.accessioned2023-08-16T08:48:01Z-
dc.date.available2023-08-16T08:48:01Z-
dc.date.issued2022-02-17-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/27415-
dc.description.abstractHurricane Ida ferociously affected many south-eastern and eastern parts of the United States, making it one of the strongest hurricanes in recent years. Advanced forecast and warning tool has been used to track the path of the ex-Hurricane, Ida, as it left New Orleans on its way towards the northeast, accurately predicting significant supercell development above New York City on September 01, 2021. This advanced method accurately detected the area with the highest possible level of convective instability with 24-h lead time and even Level 5, devised in the categorical outlooks legend of the system. Therefore, an extreme level implied a very high probability of the local-scale hazard occurring above the NYC. Cloud model output fields (updrafts and downdrafts, wind shear, near-surface convergence, the vertical component of relative vorticity) show the rapid development of a strong supercell storm with rotating updrafts and a mesocyclone. The characteristic hook-shaped echo signature visible in the reflectivity patterns indicates a signal for a highly precipitable (HP) supercell with the possibility of tornado initiation. Open boundary conditions represent a good basis for simulating a tornado that evolved from a supercell storm, initialized with initial data obtained from a real-time simulation in the period when the bow echo and tornado-like signature occurred. Тhe modeled results agree well with the observations.en_US
dc.relation.ispartofJournal of Atmospheric Science Researchen_US
dc.subjectSevere convectionen_US
dc.subjectHurricaneen_US
dc.subjectSupercell stormen_US
dc.subjectRotating updraftsen_US
dc.subjectMesocycloneen_US
dc.subjectTornadogenesisen_US
dc.subjectEnvironmental floodingen_US
dc.subjectLocal scale hazarden_US
dc.titleAdvanced Method for Forecasting and Warning of Severe Convective Weather and Local-scale Hazardsen_US
dc.typeJournal Articleen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Natural Sciences and Mathematics-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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