The Synoptic Characteristics, Causes, and Mechanisms of Kahlaa Tornado in Iraq on 14th April 2016

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Thaer O. Roomi
Firas S. Basheer


In this study, an analysis of the synoptic characteristics, causes and mechanisms of Kahlaa tornado event was carried out. This tornado occurred on 10:30 UTC (1:30 pm Iraq Local Time) on 14 April 2016 to the north of Kahlaa town in Maysan governorate. We analyzed surface and upper charts, weather conditions, the damage indices, the dynamical features and the instability of the tornado. The analysis showed that there was a low pressure system which was an extension of the Monsoon low in addition to a supercell thunderstorm and a jet stream aloft. The cold trough and high relative vorticity at 500 hPa level, the humid warm wind blowing from the south and the dry cold wind from the north contributed to the initiation of the tornado. According to the damage amount, Kahlaa tornado can be classified as EF2 degree (considerable) on Enhanced Fujita scale. Three indices were calculated to estimate the instability of the tornado. The values of the convective available potential energy (CAPE), K-index, and lifted index were (≥2500 J/kg), (35.3 oC), and (-7), respectively. All these indices confirmed the instability required to form severe thunderstorm essential to tornado formation. Although the forecasting of tornadoes occurrence is difficult, there would be indications that may lead to expect of occurrence. These may include the availability of moisture, heat, and significant wind direction changes with altitude. However, the vital factors were the existence of high instability and a supercell thunderstorm.


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Roomi TO, Basheer FS. The Synoptic Characteristics, Causes, and Mechanisms of Kahlaa Tornado in Iraq on 14th April 2016. Baghdad Sci.J [Internet]. 2021Jun.20 [cited 2021Dec.4];18(2(Suppl.):1038. Available from:


Caldera HJ, Wirasinghe SC, Zanzotto L. Severity scale for tornadoes. Nat Hazards. 2018 Feb 1; 909(3): 1051–1086.

Wallace JM, Hobbs PV. Atmospheric Science: An Introductory Survey. Elsevier; 2006 Mar 24. 483p.

Gensini VA, Brooks HE. Spatial trends in United States tornado frequency. Clim Atmos Sci, 2018 Oct 17; 38:1-5.

Antonescu B, Bell A. Tornadoes in Romania. Mon Weather Rev, 2015; 143: 689-701.

Andrei S, Andrei MD, Hustiu M, Cheval S, Antonescu B. Tornadoes in Romania-from forecasting and warning to understanding public’s response and expectations. Atmosphere, 2020; 11: 2-26.

Ahrens CD, Henson R. Essentials of meteorology: An invitation to the atmosphere. 8th ed., Brooks Cole; 2017. 509p.

Ahrens CD, Henson R. Meteorology today: An introduction to weather, climate, and the environment. 11th ed., Cengage Learning; 2016. 640p.

Potter TD, Colman BR. Handbook of weather, climate, and water. USA: Wiley-Interscience; 2003. 973p.

Aguado E, Burt JE. Understanding weather and climate. 6th ed., Prentice Hall; 2012. 576p.

Lutgens FK, Tabuck EJ. The atmosphere: An introduction to meteorology. 12th ed., Pearson; 2013. 506p.

Demircan M, Arabac H, Soydam M, Eroglu H. Trends of tornado disasters in Turkey in context of climate change. Mesut Demircan1, Hüseyin Arabacı1, Murat Soydam1, Hikmet Eroğlu1.350-355.

Paul F. A Developing inventory of tornadoes in France. Atmos Res. 2001; 56: 269-280.

Dotzek N. Tornadoes in Germany. Atmos Res. 2001; 56: 233-251.

Matsangouras IT, Nastos PT, Pytharoulis I. Synoptic-mesoscale analysis and numerical modeling of a tornado event on 12 February 2010 in northern Greece. Adv Sci Res. 2011; 6: 187-194.

Jagger TH, Elsner JB, Widen HM. A statistical model for regional tornado climate studies. PLoS ONE. 2015; 10: 1-21.

Bai L, Meng Z, Sueki K, Chen G, Zhou R. Climatology of tropical cyclone tornadoes in China from 2006 to 2018, Sci China Earth Sci. 2020; 63: 37-51.

Ziarani MR, Bookhagen B, Schmidt T, Wickert J, de la Torre A, Hierro R. Using convective available potential energy (CAPE) and dew-point temperature to characterize rainfall-extreme events in the Southcentral Andes. Atmosphere. 2019; 10: 1-22.

Sfica L, Apostol L, Vasilica I. Instability indices as predictors of atmospheric lightning - Moldova region: Study case. 15th International Multidisciplinary Scientific Geo Conference SGEM 2015, Conference Proceedings- Hydrology and Water Resources. 2015; 387-394.

Barrett BS, Marin JC, Jacques-Coper M. A multiscale analysis of the tornadoes of 30–31 May 2019 in south-central Chile. Atmos Res. 2020 May 15;236:104811.

Peppler RA. A review of static stability indices and related thermodynamic parameters. Illinois State Water Survey; 1988.

Gottlieb RJ. Analysis of stability indices for severe thunderstorms in the Northeastern United States. USA: Cornell University; 2009.

Galway JG. The lifted index as a predictor of latent instability. Bull Amer Met Soc. 1956 Dec; 37(10):528-529.

Brazdil R, Chroma K, Pucik T, Cernoch Z, Dobrovolny P, Dolak L, Kotyza O, Reznickova L, Taszarek. The climatology of significant tornadoes in the Czech Republic. Atmosphere. 2020; 11:1-22.

Sioutas M, Chrisodoulou M, Chatzi E, Doe R. Significant tornado occurrences and their meteorological environments in Greece. Conference proceedings, 14th International Conference on Meteorology, Climatology and Atmospheric Physics, October 15-17, 2018, Alexandroupolis, Greece. 2018: 70-75.

Leitão P, Pinto P. Tornadoes in Portugal: An Overview. Atmosphere. 2020 Jul;11(7):679.

Bosart LF, Seimon A, LaPenta KD, Dickinson MJ. Supercell tornadogenesis over complex terrain: The Great Barrington, Massachusetts, tornado on 29 May 1995. Weather Forecast. 2006 Dec;21(6):897-922.

Schoen JM, Ashley WS. A climatology of fatal convective wind events by storm type. Weather Forecast. 2011 Feb;26(1):109-21.

Miglietta MM, Mazon J, Rotunno R. Numerical simulations of a tornadic supercell over the Mediterranean. Weather Forecast. 2017, 32; 1209-1226.