2011
DOI: 10.5194/acp-11-9323-2011
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Large-Eddy Simulation of a microburst

Abstract: Abstract. The three-dimensional structure and evolution of an isolated and stationary microburst are simulated using a time-dependent, high resolution Large-Eddy-Simulation (LES) model. The microburst is initiated by specifying a simplified cooling source at the top of the domain around 2 km a.g.l. that leads to a strong downdraft. Surface winds of the order of 30 m s −1 were obtained over a region of 500 m radius around the central point of the impinging downdraft, with the simulated microburst lasting for a … Show more

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Cited by 17 publications
(33 citation statements)
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“…From an atmospheric science perspective, numerical models employed to simulate downbursts fall into two main categories: sub-cloud models and cloud-resolving downburst models [5]. Sub-cloud models include consideration of some sort of forcing that generates negative buoyancy in a storm in the upper portion of the model domain in order to initiate the downburst [6][7][8]; cloud-resolving downburst models, on the other hand, involve simulation of the full life cycle of the downburst-producing storm [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…From an atmospheric science perspective, numerical models employed to simulate downbursts fall into two main categories: sub-cloud models and cloud-resolving downburst models [5]. Sub-cloud models include consideration of some sort of forcing that generates negative buoyancy in a storm in the upper portion of the model domain in order to initiate the downburst [6][7][8]; cloud-resolving downburst models, on the other hand, involve simulation of the full life cycle of the downburst-producing storm [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…as was done in Mason et al (2009) and Anabor et al (2011) to produce an intense downburst. The function, g(t), defines the variation of downburst intensity with time as follows:…”
mentioning
confidence: 99%
“…These processes are largely responsible for generating the negative buoyancy that drives the downburst (Wakimoto, 2001) and this approach has become the state of the practice in LES simulations of downburst winds (see, for example, Orf et al (1996); Anabor et al (2011) or Oreskovic (2016)). The source (Q) equations are as follows:…”
mentioning
confidence: 99%
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