2018
DOI: 10.1515/zna-2018-0206
|View full text |Cite
|
Sign up to set email alerts
|

A Mathematical Model Governing Tornado Dynamics: An Exact Solution of a Generalized Model

Abstract: We investigate in this paper the dynamics of tornadoes by considering that the real inflow radial velocity depends on both the radial and vertical coordinates. The formulation is based on the model for the radial velocity that has been deduced from an experimentally verified model of azimuthal velocity. We present an analytical model for steady, incompressible, and viscous fluids and try for exact solutions. Although all the three components depend on radial and axial coordinates, viscosity affects merely the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 36 publications
0
0
0
Order By: Relevance
“…The region above d is the convective zone. Pandey and Maurya [3] considered the linear vertical profile of radial velocity as u r z , 1…”
Section: Empirical Consideration Of Radial Wind Componentmentioning
confidence: 99%
See 1 more Smart Citation
“…The region above d is the convective zone. Pandey and Maurya [3] considered the linear vertical profile of radial velocity as u r z , 1…”
Section: Empirical Consideration Of Radial Wind Componentmentioning
confidence: 99%
“…In the existing models of atmospheric vortices, there are often idealisations such as neither radial nor axial components of velocity (Lamb [1], Oseen [2], Pandey and Maurya [3], Rankine [4], Taylor [5]) or radial velocity depending only on the radial coordinate (Long [6], Rott [7]), or a special form of viscosity Kieu and Zhang [8]) and so on. Steady-state models (Lamb [1], Oseen [2], Rankine [4], Taylor [5], Long [6], Rott [7], Kieu and Zhang [8], Burgers [9]) are often used for validation of observed experimental data and numerical simulation.…”
Section: Introductionmentioning
confidence: 99%