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		<citationkey>AndradeMourEscoSilv:2010:AvQuDe</citationkey>
		<title>Avaliação qualitativa do desempenho da ferramenta objetiva de previsão de tempo utilizado no ambiente operacional do CPTEC/INPE para um caso de evento severo</title>
		<year>2010</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Andrade, Kelen Martins,</author>
		<author>Moura, Carlos R. W.,</author>
		<author>Escobar, Gustavo Carlos Juan,</author>
		<author>Silva, Philipp Edson Dias da,</author>
		<group>DOP-CPT-INPE-MCT-BR</group>
		<group></group>
		<group>DOP-CPT-INPE-MCT-BR</group>
		<group>DOP-CPT-INPE-MCT-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Serviço Meteorológico Marinho - Centro de Hidrografia da Marinha.</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>kelen.andrade@cptec.inpe.br</electronicmailaddress>
		<electronicmailaddress>carloswmoura@gmail.com</electronicmailaddress>
		<electronicmailaddress>gustavo.escobar@cptec.inpe.br</electronicmailaddress>
		<electronicmailaddress>philipp.dias@cptec.inpe.br</electronicmailaddress>
		<conferencename>Congresso Brasileiro de Meteorologia, 16.</conferencename>
		<conferencelocation>Belem, PA</conferencelocation>
		<date>13-17 set 2010</date>
		<publisher>SBMET</publisher>
		<publisheraddress>Rio de Janeiro, RJ</publisheraddress>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<keywords>avaliacao, previsao de tempo.</keywords>
		<abstract>The purpose of the present article is to do a synoptic analysis of a severe weather event occurred in the western area of South Brazil, South of Paraguay and northeast Argentina, on September 7 and 8th, 2009, and to evaluate qualitatively the objective weather forecast tool used by the operational department of CPTEC. This tool is based on a combination of indexes that come from dynamic and thermodynamic components of the atmosphere. Depending on their different thresholds, these components allow us to determine the severity degree of an event. The results show that the weather forecast objective methodology can identify in sufficient advance, not only the favorable synoptic pattern, but also the potential severe weather areas. Therefore, we can come to the conclusion that this type of methodology is very useful and applicable in a weather forecast operational environment.</abstract>
		<area>MET</area>
		<type>On-line</type>
		<language>pt</language>
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