Skip to main content
Log in

A hybrid model to estimate the depth of potential convective instability during severe thunderstorms

  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

The purpose of the present paper is to view the role of theta parameters in the genesis of severe thunderstorms of pre-monsoon season over northeastern part of India. The method adopted to achieve the objective is a Hybrid soft computing system comprising of Ampliative Reasoning (AR) and Simulated Annealing (SA). The results of the study reveal a very important finding that the occurrence of such severe weather hazard requires conditional instability up to the altitude of 4.5 km. whereas convective instability persists up to 3.5 km altitude. Thus, for the genesis of severe thunderstorms of pre-monsoon season the atmosphere must have potential convective instability up to the altitude 3.5 km and the conditional instability has to persist little more.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Abraham A, Philip NS, Joseph B (2001) Will we have a wet summer? Long term rain forecasting using Soft Computing models. In: Kerchoffs EJH, Snorek M, Eds. Modeling and Simulation 2001, Publication of the Society for Computer Simulation International, Prague, Czech Republic, pp 1044–1048

  2. Chaudhuri S, Chattopadhyay S (2001) Measure of CINE – A relevant parameter for forecasting pre-monsoon thunderstorms over GWB. Mausam 52:679–684

    Google Scholar 

  3. Chaudhuri S, Chattopadhyay S (2002) Multilayer perceptron model in pattern recognition of surface parameters during pre-monsoon thunderstorm. Mausam 53:417–424

    Google Scholar 

  4. Chaudhuri S, Chattopadhyay S (2003) Genesis of severe local storms – a genetic algorithm approach. Sci Cult 69:331–335

    Google Scholar 

  5. Chaudhuri S, Chattopadhyay S (2004) Consequences of pre-monsoon thunderstorm – a fuzzy logic approach. Mausam 55:119–122

    Google Scholar 

  6. Chaudhuri S, Chattopadhyay S (2005a) Neuro-computing based short range prediction of some meteorological parameters during pre-monsoon season. Soft Comput 9(5):349–354

    Google Scholar 

  7. Chaudhuri S, Chattopadhyay S (2005b) Prediction of severe thunderstorm with minimal a-priori knowledge. Adv Complex Syst 8(1):1–12

    Google Scholar 

  8. Chaudhuri S (2005) Ampliative reasoning to view the prevalence of severe thunderstorms. Mausam (accepted)

  9. Desai BN, Rao YP (1954) On the cold pools and their role in the development of Nor'westers over West Bengal and East Pakistan. Ind J Met Geophys 5:243–248

    Google Scholar 

  10. Das PM, De AC, Gangopadhyay M (1957) Movement of two Nor'westers of West Bengal – A radar study. Ind J Met Geophys 8:399–406

    Google Scholar 

  11. Gardner MW, Dorling SR (1998) Artificial neural network (multilayer perceptron) – a review of applications in atmospheric sciences. Atmos Environ 32:2627–2636

    Google Scholar 

  12. Holton JR (1992) An introduction to dynamic meteorology. Academic Press, New York, pp 291–294

  13. Hsieh WW, Tang (2001) Artificial neural networks. Springer, Berlin, Heidelberg New York, pp 55–72

  14. Indian Meteorological Department, 1941, ``Nor'westers of West Bengal'', Indian Meteorological Department, Tech. Note, No. 10.

  15. James EP, Tag PM (1994) Segmentation of satellite imagery using hierarchical threshold and neural network. Amer Met Soc 33:605–616

    Google Scholar 

  16. Koteswaram P, Srinivasan V (1958) Thunderstorms over Gangetic West Bengal in the pre-monsoon season and the synoptic factors favourable for their formation. Ind J Met Geophys 9:301–312

    Google Scholar 

  17. Koteswaram P, De AC (1959) Study of pre-monsoon thunderstorms over Gangetic West Bengal by Radar. Ind J Met Geophys 10:275–282

    Google Scholar 

  18. Kalsi SR, Bhatia RC (1992) Satellite observations of development of thunderstorm complexes in weakly forced environment. Vayu Mandal 22:65–76

    Google Scholar 

  19. Klir JG, Folger TA (2000) Fuzzy sets, uncertainty and information. Prentice Hall, USA

  20. Mull S, Mitra H, Kulshrestha SM (1963) Tropical thunderstorms and radar echoes. Ind J Met Geophys 4:269–278

    Google Scholar 

  21. Mukherjee AK, Chaudhuri AK (1979) Excessive overshooting of Cb. Ind J Met Geophys 30:485–492

    Google Scholar 

  22. Normand CWB (1938) On instability from water vapour. Quar J Royal Meteor Soc 64:47–66

    Google Scholar 

  23. Pal Sankar K, Mitra S (1999) Neuro-Fuzzy pattern recognition: methods in Soft Computing. John Wiley & Sons, New York

  24. Ray, Peter S (1986) Meso-scale meteorology and forecasting. American Meteorological Society, Boston, USA

  25. Ramaswamy C (1956) On the subtropical jet stream and its role in the development of large scale convection. Tellus 8:26–60

    Google Scholar 

  26. Williams E, Renno N (1993) An analysis of conditional instability of tropical atmosphere. Mon Wea Rev 121:21–36

    Google Scholar 

  27. Williams ER (1995) Handbook of atmospheric electrodynamics. CRC Press, UK

  28. Wilks DS (1995) Statistical methods in Atmospheric Sciences. Academic Press, USA.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sutapa Chaudhuri.

Additional information

Mobile: 9830017165

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chaudhuri, S. A hybrid model to estimate the depth of potential convective instability during severe thunderstorms. Soft Comput 10, 643–648 (2006). https://doi.org/10.1007/s00500-005-0532-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-005-0532-6

Keywords

Navigation