Results 101 to 110 of about 338 (126)
Relationships Between Thunderstorm Mesoscale Circulation and Tornadogenesis.
Edward A. Brandes
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Monthly Weather Review, 2021
AbstractThe time preceding supercell tornadogenesis and tornadogenesis “failure” has been studied extensively to identify differing attributes related to tornado production or lack thereof. Studies from the Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX) found that air in the rear-flank downdraft (RFD) regions of non- and ...
Kristofer S. Tuftedal +3 more
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AbstractThe time preceding supercell tornadogenesis and tornadogenesis “failure” has been studied extensively to identify differing attributes related to tornado production or lack thereof. Studies from the Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX) found that air in the rear-flank downdraft (RFD) regions of non- and ...
Kristofer S. Tuftedal +3 more
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Quarterly Journal of the Royal Meteorological Society, 1978
AbstractIn this paper we use a simple numerical model to study vortex growth in a flow configuration which broadly simulates the principal characteristics of a severe tornadic storm system, i.e. strong vertical forcing by intense cumulus or cumulonimbus convection in the presence of an organized field of rotation on the cloud scale.
RK SMITH, LM LESLIE
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AbstractIn this paper we use a simple numerical model to study vortex growth in a flow configuration which broadly simulates the principal characteristics of a severe tornadic storm system, i.e. strong vertical forcing by intense cumulus or cumulonimbus convection in the presence of an organized field of rotation on the cloud scale.
RK SMITH, LM LESLIE
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The tornadogenesis optimization algorithm
2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2017The Tornadogenesis Optimization Algorithm (TOA), a new air mass population based meta-heuristic optimization (MHO) algorithm is devised in this paper. Implementation of TOA has taken its root from the formation of tornadoes, particularly at Oklahoma State of United States.
Ravi Kumar Saidala, Nagaraju Devarakonda
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An Australian pyro-tornadogenesis event
Natural Hazards, 2012On 18 January 2003, fires had a devastating impact on Australia’s capital, Canberra. A series of reviews and scientific studies have examined the events of that day and indicate that the worst impacts were due to a series of violent pyro-convective events and resultant pyro-cumulonmibi.
Richard H. D. McRae +3 more
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The Effect of Vertical Stability on Tornadogenesis
Journal of the Atmospheric Sciences, 1978Abstract A recent numerical study of vortex growth in a flow configuration which models the principal characteristics of a tornado cyclone (Smith and Leslie, 1978) is extended to take account of vertical stability. It is shown that for a given strength of convection and rotation (in the model, the driving effect of a ‘supercell’ updraft is simulated by
L. M. Leslie, R. K. Smith
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Weather and Forecasting, 2022
Abstract The skillful anticipation of tornadoes produced by quasi-linear convective systems (QLCSs) is a well-known forecasting challenge. This study was motivated by the possibility that warning accuracy of QLCS tornadoes depends on the processes leading to tornadogenesis, namely, one that is dominated by an apparent release of horizontal shearing ...
James S. Goodnight +2 more
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Abstract The skillful anticipation of tornadoes produced by quasi-linear convective systems (QLCSs) is a well-known forecasting challenge. This study was motivated by the possibility that warning accuracy of QLCS tornadoes depends on the processes leading to tornadogenesis, namely, one that is dominated by an apparent release of horizontal shearing ...
James S. Goodnight +2 more
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Chaotic Tornadogenesis Optimization Algorithm for Data Clustering Problems
International Journal of Software Science and Computational Intelligence, 2018This article describes how clustering is an attractive and major task in data mining in which particular set of objects are grouped according to their similarities based on some criteria. Among the numerous algorithms, k-Means is the best and efficient in address clustering problems.
Ravi Kumar Saidala, Nagaraju Devarakonda
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