**Acknowledgements**

*Natural Hazards - Risk, Exposure, Response, and Resilience*

The results presented above suggest that the present model may be an useful tool to forecast future events of severe weather. Nevertheless, many other experiments

*) for day 5 December 2015 at 0600* 

In this study the synoptic conditions and social impacts of the severe event on 5 December 2015 in the south of Mato Grosso do Sul State, Brazil were analyzed. The results showed that the heavy rainfall and strong winds caused floods, damage in several residences and affected the distribution of electric energy not only in the region but also in the interior of the state. The synoptic analyzes showed that the windstorm was caused by a region of wind difluence at high levels which was associated with convective clouds of large vertical development. The WRF model was used to simulate the atmospheric conditions in this severe event. The modeled values of some meteorological variables were in good agreement with the observations suggesting that the model may be used in future to forecast adverse weather conditions. This study makes part of a cooperative project between the National Institute for Space Research and the Energisa power company aimed to mitigate the

must be performed to have a better assessment of the model simulations.

*) and high level wind at 200 hPa (m s<sup>−</sup><sup>1</sup>*

**26**

**6. Conclusions**

*Simulated divergence (×10<sup>−</sup><sup>5</sup>*

 *s<sup>−</sup><sup>1</sup>*

*UTC, 1200 UTC, 1800 UTC and 2100 UTC.*

**Figure 10.**

This study makes part of the project "Management of the impact of climate severe events on the electric energy network" financed by the Energisa power company.
