<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Journal Article">
		<site>mtc-m21b.sid.inpe.br 804</site>
		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<identifier>8JMKD3MGP3W34P/3MRK3J5</identifier>
		<repository>sid.inpe.br/mtc-m21b/2016/11.22.19.44</repository>
		<lastupdate>2017:07.21.16.29.14 sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 simone</lastupdate>
		<metadatarepository>sid.inpe.br/mtc-m21b/2016/11.22.19.44.43</metadatarepository>
		<metadatalastupdate>2018:06.04.02.41.21 sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 administrator {D 2016}</metadatalastupdate>
		<doi>10.1080/15481603.2016.1228161</doi>
		<issn>1548-1603</issn>
		<citationkey>MateusBorSilNicCat:2016:CaStAb</citationkey>
		<title>Assessment of two techniques to merge ground-based and TRMM rainfall measurements: a case study about Brazilian Amazon Rainforest</title>
		<year>2016</year>
		<month>Nov.</month>
		<typeofwork>journal article</typeofwork>
		<secondarytype>PRE PI</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>1317 KiB</size>
		<author>Mateus, Pedro,</author>
		<author>Borma, Laura de Simone,</author>
		<author>Silva, Ricardo Dal'Agnol da,</author>
		<author>Nico, Giovanni,</author>
		<author>Catalão, João,</author>
		<group>CST-CST-INPE-MCTI-GOV-BR</group>
		<group>CST-CST-INPE-MCTI-GOV-BR</group>
		<group>CST-CST-INPE-MCTI-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>
		<affiliation>Consiglio Nazionale delle Ricerche</affiliation>
		<affiliation>University of Lisbon</affiliation>
		<electronicmailaddress>pedro.mateus@inpe.br</electronicmailaddress>
		<electronicmailaddress>laura.borma@inpe.br</electronicmailaddress>
		<electronicmailaddress>ricardo.silva@inpe.br</electronicmailaddress>
		<journal>GIScience and Remote Sensing</journal>
		<volume>53</volume>
		<number>6</number>
		<pages>689-706</pages>
		<secondarymark>B1_GEOCIÊNCIAS B1_CIÊNCIAS_AGRÁRIAS_I B2_INTERDISCIPLINAR B3_CIÊNCIAS_AMBIENTAIS</secondarymark>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<versiontype>publisher</versiontype>
		<keywords>bias correction, rainfall interpolation, remote sensing, statistical data merging, TRMM.</keywords>
		<abstract>The availability of accurate rainfall data with high spatial resolution, especially in vast watersheds with low density of ground-measurements, is critical for planning and management of water resources and can increase the quality of the hydrological modeling predictions. In this study, we used two classical methods: the optimal interpolation and the successive correction method (SCM), for merging ground-measurements and satellite rainfall estimates. Cressman and Barnes schemes have been used in the SCM in order to define the error covariance matrices. The correction of bias in satellite rainfall data has been assessed by using four different algorithms: (1) the mean bias correction, (2) the regression equation, (3) the distribution transformation, and (4) the spatial transformation. The satellite rainfall data were provided by the Tropical Rainfall Measuring Mission, over the Brazilian Amazon Rainforest. Performances of the two merging data techniques are compared, qualitatively, by visual inspection and quantitatively, by a statistical analysis, collected from January 1999 to December 2010. The computation of the statistical indices shows that the SCM, with the Cressman scheme, provides slightly better results.</abstract>
		<area>CST</area>
		<language>en</language>
		<usergroup>simone</usergroup>
		<readergroup>administrator</readergroup>
		<readergroup>simone</readergroup>
		<visibility>shown</visibility>
		<archivingpolicy>denypublisher denyfinaldraft</archivingpolicy>
		<readpermission>deny from all and allow from 150.163</readpermission>
		<documentstage>not transferred</documentstage>
		<mirrorrepository>urlib.net/www/2011/03.29.20.55</mirrorrepository>
		<nexthigherunit>8JMKD3MGPCW/3F3T29H</nexthigherunit>
		<citingitemlist>sid.inpe.br/bibdigital/2013/10.19.20.40 1</citingitemlist>
		<dissemination>WEBSCI</dissemination>
		<hostcollection>sid.inpe.br/mtc-m21b/2013/09.26.14.25.20</hostcollection>
		<username>simone</username>
		<agreement>agreement.html .htaccess .htaccess2</agreement>
		<lasthostcollection>sid.inpe.br/mtc-m21b/2013/09.26.14.25.20</lasthostcollection>
		<url>http://mtc-m21b.sid.inpe.br/rep-/sid.inpe.br/mtc-m21b/2016/11.22.19.44</url>
	</metadata>
</metadatalist>