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		<label>lattes: 5465249419038855 1 FranchitoGanFerRaoSan:2017:CaSt27</label>
		<citationkey>FranchitoGanFerRaoSan:2017:CaSt27</citationkey>
		<title>Rainstorms during spring in Sao Paulo State, Brazil: a case study of 27-28 September 2015</title>
		<year>2017</year>
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		<author>Franchito, Sergio Henrique,</author>
		<author>Gan, Manoel Alonso,</author>
		<author>Fernandez, Julio Pablo Reyes,</author>
		<author>Rao, V. Brahmanada,</author>
		<author>Santo, Clóvis M. E. dos,</author>
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		<group>DIDMD-CGCPT-INPE-MCTIC-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>sergio.franchito@cptec.inpe.br</electronicmailaddress>
		<journal>International Journal of Geography and Environmental Management</journal>
		<volume>3</volume>
		<number>2</number>
		<pages>12-25</pages>
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		<abstract>Rainstorms were observed in Sao Paulo State, Brazil (53oW-44oW; 20oS-25oS) during 27-28 September 2015. This was the second event of simultaneous strong storms in September 2015, but with smaller scope compared to that in 7-8 September 2015. Even thus, the impact was harmful in many regions of Sao Paulo State. In this paper the atmospheric conditions responsible for the intense rainfall and their social consequences were analyzed. The results showed that the storms affected most of Sao Paulo State causing floods and threw down trees, affecting the distribution of electric energy. The cause of the intense rainfall was a strong squall line moving from Parana State to Sao Paulo State. Strong divergence at high levels over the region of the squall line was responsible for the severe weather conditions. The WRF model was used to simulate the severe weather conditions on 27-28 September 2015. The results showed that model simulations and observations are in a good agreement indicating that the model may be an important tool to be used to forecast severe weather events in future. The use of WRF model for theses purposes forms part of a co-operative project between National Institute for Space Research (INPE) institution and Energisa Power Company aimed to mitigate the effects of adverse weather conditions.</abstract>
		<area>MET</area>
		<language>en</language>
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