**5. Conclusion**

This work aimed to evaluate the applicability of the self-organizing map local temporal extensions (Temporal Kohonen Map and Recurrent Self-Organizing Map) in the severe weather patterns recognition. The study area was the eastern Amazon region, one of the areas of the Earth with higher frequency and intensity of extreme weather events, especially in terms of the lightning occurrences.

Its purpose was to contribute in the identification of a useful tool for the weather studies, to reduce the damages associated with this natural phenomenon. The performance analysis of the recurrent neural networks (TKM and RSOM) with relation to the original SOM resulted in the following main conclusions:

