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		<citationkey>CamargoJrFerr:1999:EsPrSo</citationkey>
		<title>Estimativa de precipitacao sobre a regiao de Sao Paulo  utilizando-se os dados de microondas do SSM/I</title>
		<format>CD-ROM</format>
		<year>1999</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>5372 KiB</size>
		<author>Camargo Junior, Helio,</author>
		<author>Ferreira, Nelson Jesus,</author>
		<group>DOP-INPE-MCT-BR</group>
		<group>CPT-INPE-MCT-BR</group>
		<affiliation>Centro de Previsao de Tempo e Estudos Climaticos - CPTEC/INPE</affiliation>
		<e-mailaddress>valdire@cptec.inpe.br</e-mailaddress>
		<conferencename>Congresso Brasileiro de Agrometeorologia, 11; Reuniao Latino-Americano de Agrometeorologia, 2.</conferencename>
		<conferencelocation>Florianopolis (SC)</conferencelocation>
		<date>19-24 jul.</date>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigos</tertiarytype>
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		<keywords>meteorologia.</keywords>
		<abstract>Since sixties when the Earth started to be observed by meteorological satellites, algorithms, most of them using visible and infrared techniques, started to be developed as an attempt do get better observations in regions where no satisfactory observations were made from Earth. In the last two decades, microwave algorithms started to be an alternative way of getting precipitation information from space. In this work two microwave based algorithms, NESDIS, proposed by Ferraro et al. (1994) and Ferraro and Marks (1995) and GSCAT (Goddard Scattering Algorithm), proposed by Adler et al. (1991) and Negri et al. (1994), were used in order to estimate rainfall over the region covered by the meteorological Radar in Bauru  São Paulo. Both algorithms use data provided by SSM/I. Results suggest that these algorithms overestimate the detected radar rainfall. The qualitative estimates are quite reasonable, but much effort has to be done to get better quantitative estimates.</abstract>
		<area>MET</area>
		<type>PRE</type>
		<language>pt</language>
		<targetfile>10137.pdf</targetfile>
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