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2011
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3 pages
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and very short range forecasting of supercell thunderstorms in a
2015
Severe local thunderstorm is the extreme weather convective phenomenon generated from cumulonimbus cloud. It has a devastating effect on human life. Correct forecasting is very crucial factor to save life and property. Here in this paper we have applied artificial neural network to achieve desired result. Multilayer perceptron has been applied on upper air data such as sunshine hour, pressure at freezing level, height at freezing level and cloud coverage (octa NH). MLP predicted correctly both ‘squall’ and ‘no squall’ storm days more than 90% with 12 hours leading time.
2018
One of the nature’s most spectacular phenomenon; the thunderstorm is reviewed from the point of their formation, intensity, modeling, forecasting and field research. The thunderstorms are reviewed in particular with regard to their characteristics over the Indian sub-continent. There is a need for more concerted efforts on conducting field experiments, with convective scale data assimilation and ensemble modeling to improve the skills of forecasting the thunderstorms.
Acknowledgments I would like to thank Professor Amy McGovern, my supervisor at the University of Oklahoma as well as the chair of my master's thesis committee, for accepting me as her student, and for helping me all along during my time in the United States. I would like to thank all my current and former committee members, namely Dr. Rodger Brown, for his helpful counseling and insights concerning meteorological subjects, Dr Dean Hougen, Dr. Valliappa Lakshmanan and Dr. Adam Clark for helping me and orienting me when I started this research project. I also thank Brittany Benson Dahl for her patience and for providing all the simulation data that I have used.
2017
The present study has as objective to analyze frequencies of Thunderstorm that occurred in the province of Luanda (1998 to 2015), A thermodynamic study of an intense event, to evaluate the operation of the thermodynamic method. This method was based on the vertical profiles, predicted 48 hours in advance, indices of instability and trajectories of the HYSPLIT model for forecasting. Topographic influence was assessed by the evaluation of latent and potential instability (IP and IL) for intense case. The following data were used: (1) TRMM; (2) ECMWF (3) NCEP (4) CPTEC; (5) HYSPLIT. There were 238 cases of thunderstorms, with maximum occurrence in 1999 and 2011, in April (145 cases). In the synoptic analysis it was observed: A) jet stream, b) Medium crest c) cyclonic circulation at low levels. The SST presented values around 28 ° C Strong cold advection (−4K / day 6h) before the event was observed and warm advection weak (4K / day) at the instant of thunderstorm. The simulated profile ...
Atmospheric Research, 2008
The eastern Andes have been described as a hot spot in severe convection. The damages caused in that particular area by convection are much higher than in other latitudes. In contrast, very few studies have been conducted as yet on the thermodynamic characterization of these events or on their forecasting. This paper assesses pre-convective conditions in south-western Argentina on the basis of radiosonde data of 713 days. Additionally, an objective short-term forecast model for storms has been set up. The linear discriminant analysis provided information about the likelihood of storms in the study zone. The forward stepwise method was used to set up the discriminant equation. Testing the results on a validation sample, the outcome was: Probability of detection (POD) = 0.814, False Alarm Rate (FAR) = 0.200; Heidke Skill Score (HSS) = 0.535. Finally, a forecast model was developed for severe storms too, but the results achieved were not so satisfactory.
Figure 1. Mean observed storm speed for the following supercell groups: significant tornadic (sigtor), weak tornadic (weaktor), nontornadic (nontor), and all supercells (allsuper).
Atmospheric Research, 2003
What, pray tell, would I buy? There is nothing out here that is not free for the asking. Can you buy a sunrise? Is there a price to the exhilaration we feel from the thunderstorm that rages outside? Nature is the truest democracy, and not the richest man in the world is served a grander sunset than the beggar.
Natural Hazards and Earth System Sciences, 2012
In this paper, one meteorological case study for two Iranian airports are presented. Attempts have been made to study the predefined threshold amounts of some instability indices such as vertical velocity and relative humidity. Two important output variables from a numerical weather prediction model have been used to survey thunderstorms. The climatological state of thunder days in Iran has been determined to aid in choosing the airports for the case studies. The synoptic pattern, atmospheric thermodynamics and output from a numerical weather prediction model have been studied to evaluate the occurrence of storms and to verify the threshold instability indices that are based on Gordon and Albert (2000) and Miller (1972). Using data from the Statistics and Data Center of the Iran Meteorological Organization, 195 synoptic stations were used to study the climatological pattern of thunderstorm days in Iran during a 15-yr period (1991-2005). Synoptic weather maps and thermodynamic diagrams have been drawn using data from synoptic stations and radiosonde data. A 15-km resolution version of the WRF numerical model has been implemented for the Middle East region with the assistance of global data from University Corporation for Atmospheric Research (UCAR). The Tabriz airport weather station has been selected for further study due to its high frequency of thunderstorms (more than 35 thunderstorm days per year) and the existence of an upper air station. Despite the fact that storms occur less often at the Tehran weather station, the station has been chosen as the second case study site due to its large amount of air traffic. Using these two case studies (Tehran at 00:00 UTC, 31 April 2009 and Tabriz at 12:00 UTC, 31 April 2009), the results of this research show that the threshold amounts of 30 • C for KI, −2 • C for LI and −3 • C for SI suggests the occurrence and non-occurrence of thunderstorms at the Tehran and Tabriz stations, respectively. The WRF model output of vertical velocity and relative humidity are the two most important indices for examining storm occurrence, and they have a numerical threshold of 1 m s −1 and 80 %, respectively. These results are comparable to other studies that have examined thunderstorm occurrence.