Study and simulation of tornados in the geographical area of barranquilla

Authors

  • Ernesto Díaz Unicosta

DOI:

https://doi.org/10.18667/cienciaypoderaereo.19

Keywords:

Simulation, tornado, physical variables, computational models

Abstract

 Within the convective phenomena that have been increasing in Barranquilla are the tornados that struck specific geographical areas, especially in the south west of the city, producing considerable physical damages in the structures of dwellings and businesses with sometimes the loss of human lives. The complexity of the problem and its multiple interactions make computational models that try to simulate the physics of the climatic phenomenon the only way to evaluate these changes; however they have a limited precision due to the ignorance of the condition of the atmosphere.

 In this first phase of the investigation we focus on the behavior of tornados in the metropolitan area of Barranquilla, exploring all the available literature on its level of occurrence in the city, the kind of damage generated in the surrounding area, the historical data of physical variables that explain their origin and the different computational models of parameters in the local geography.

 

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Author Biography

  • Ernesto Díaz, Unicosta

    Docente Investigador, Unicosta. Magíster en Ciencias Computacionales, ITESM, con estudios de Doctorado en Ingeniería de Software – Universidad de Vigo, España. Artículo derivado de la investigación Simulador de tornados para el Comando Aéreo de Combate No. 3 de la Fuerza Aérea Colombiana, grupo de investigación GIACUC, Convenio Fuerza Aérea – Unicosta.

References

Aguirre de Carcer, I. Jaque F. (2001). Introducción a la Meteorología Ambiental. Cantoblanco, Madrid: Ediciones de la Universidad Autónoma de Madrid.

Augusto, T. Wehrle, A. (2003). Tornados y trombas. Centenario de la muerte de Arcimis. Revista del Aficionado a la Meteorología - RAM.

Ayuso, J. J. (1994). Predicción Estadística Operativa en el INM, Vol. B-34 Monografías del Instituto Nacional de Meteorología. Madrid: Ministerio de Medio Ambiente.

Capel Molina, J. J. (2002). Tormentas y tornados en la península ibérica. Meteoros adversos extremos que le caracterizan. Nimbus, 9(10), pp. 5 -16.

Center for Analysis and Prediction of Storms. University of Oklahoma. Recuperado de http://www.caps.ou.edu/ARPS/

Cuadrat J. M. y Pita M. F. (2006). Climatología. Madrid: Editorial Cátedra

Haas, R., T. Ambrizzi, A. J. Pereira F. (2000). Comparação de desempenho entre um cluster PC-linux e um SP2 em simulações com o modelo ARPS. I Encontro Brasileiro de Modelagem Atmosférica, XI CBMET, Río de Janeiro.

IDEAM (2005). Atlas climatológico de Colombia. Bogotá D.C.: Imprenta Nacional de Colombia.

Jacobson M.Z., (1999). Fundamentals of Athmospheric Modeling. Cambridge: Cambridge University Press.

Patz, J.A., Campbell-Lendrum, D., Holloway, T. y Foley, J.A. (2005). Impact of regional climate change on human health, Nature, 438, pp. 310-317

https://doi.org/10.1038/nature04188

Rey, E. (2007) La nueva escala mejorada de Fujita, aka CumulusHumilis, Equipo SSW. Recuperado de Recuperado de http://www.tiemposevero.es/ver-reportaje.php?id=146

Vásquez Castellar, N. (20 de septiembre de 2006). Tornados, se encienden las alarmas. Recuperado de http://elobservadorm.blogspot.com/search?q=tornado

Xue, M.; Droegemaier, K. K.; Wong, V.; Shapiro, A.; Brewster, K. (1995) Advanced Regional Prediction System Users Guide, p. 380. University of Oklahoma.

Xue M., K. Droegemeier and V. Wong.( 2000). The Advanced Regional Prediction System (ARPS). A Multi-Scale Nonhydrostatic Atmospheric Simulation and Prediction Model. Part I: Model Dynamics and Verification. Meteorology Atmospheric Physics. 75, pp. 161-193.

https://doi.org/10.1007/s007030070003

Published

2012-09-01

How to Cite

Study and simulation of tornados in the geographical area of barranquilla. (2012). Ciencia Y Poder Aéreo, 7(1), 32-45. https://doi.org/10.18667/cienciaypoderaereo.19