<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>marte2.sid.inpe.br 802</site>
		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<identifier>8JMKD3MGP6W34M/3PSLSPH</identifier>
		<repository>sid.inpe.br/marte2/2017/10.27.13.08.12</repository>
		<lastupdate>2017:10.27.13.08.12 dpi.inpe.br/marte2/2013/05.17.15.03.06 banon</lastupdate>
		<metadatarepository>sid.inpe.br/marte2/2017/10.27.13.08.13</metadatarepository>
		<metadatalastupdate>2018:06.06.03.07.17 dpi.inpe.br/marte2/2013/05.17.15.03.06 administrator {D 2017}</metadatalastupdate>
		<isbn>978-85-17-00088-1</isbn>
		<label>59281</label>
		<citationkey>ColossiFSPFRPC:2017:VaMoHi</citationkey>
		<title>Validação do modelo hidrológico MGB-IPH com umidade do solo da missão SMOS na bacia do Alto Paraná</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>581 KiB</size>
		<author>Colossi, Bibiana Rodrigues,</author>
		<author>Fleischmann, Ayan Santos,</author>
		<author>Siqueira, Vinícius Alencar,</author>
		<author>Paiva, Rodrigo Cauduro Dias,</author>
		<author>Fan, Fernando Mainardi,</author>
		<author>Ruhoff, Anderson Luis,</author>
		<author>Pontes, Paulo Rógenes Monteiro,</author>
		<author>Collischonn, Walter,</author>
		<electronicmailaddress>bibiana.colossi@gmail.com</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>3347-3354</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Large scale representation of soil moisture conditions can be achieved through hydrological simulation and remote sensing techniques. However, both methodologies have several limitations, which suggests the potential benefits of using both information together. The main objective of this study is to perform a validation for the soil moisture simulated with a large scale semi-distributed hydrological model, MGB-IPH, using remotely sensed soil moisture from SMOS (Soil Moisture and Ocean Salinity) L3 product. The study aimed to analyze results in South American continent, where hydrometeorological monitoring is usually very scarce. The study was performed in Paraná River Basin, an important South American basin, whose extension and particular characteristics allow the representation of different climatic, geological, and, consequently, hydrological conditions. Soil moisture estimated with SMOS was transformed from water content to a Soil Water Index (SWI) so it is comparable to the saturation degree simulated with MGB-IPH model. Results show that this type of analysis can be very useful, because it allows to recognize limitations in both remotely sensed observations and hydrological model simulations. In the case of the hydrological model, this analysis can avoid the use of parameters out of range, in an attempt to compensate model limitations. Also, it indicates aspects of the model were efforts should be concentrated, in order to improve hydrological or hydraulics process representation.</abstract>
		<area>SRE</area>
		<type>Hidrologia</type>
		<language>pt</language>
		<targetfile>59281.pdf</targetfile>
		<usergroup>banon</usergroup>
		<visibility>shown</visibility>
		<mirrorrepository>urlib.net/www/2011/03.29.20.55</mirrorrepository>
		<nexthigherunit>8JMKD3MGP6W34M/3PMFNUS</nexthigherunit>
		<citingitemlist>sid.inpe.br/marte2/2017/09.25.14.55 3</citingitemlist>
		<hostcollection>dpi.inpe.br/marte2/2013/05.17.15.03.06</hostcollection>
		<username>banon</username>
		<lasthostcollection>dpi.inpe.br/marte2/2013/05.17.15.03.06</lasthostcollection>
		<url>http://marte2.sid.inpe.br/rep-/sid.inpe.br/marte2/2017/10.27.13.08.12</url>
	</metadata>
</metadatalist>