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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2015-02-24T11:55:46Z</responseDate> <request identifier=oai:HAL:hal-00779675v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-00779675v1</identifier> <datestamp>2013-07-10</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:sdu</setSpec> <setSpec>subject:spi</setSpec> <setSpec>subject:info</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:GIP-BE</setSpec> <setSpec>collection:UNIV-REUNION</setSpec> <setSpec>collection:ESPACE-DEV</setSpec> <setSpec>collection:ENSMP</setSpec> <setSpec>collection:ENSMP_CEP</setSpec> <setSpec>collection:PARISTECH</setSpec> <setSpec>collection:OIE</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>On the applicability of the Heliosat-2 method to assess surface solar irradiance in the Intertropical Convergence Zone, French Guiana</title> <creator>Marie-Joseph, Isabelle</creator> <creator>Linguet, Laurent</creator> <creator>Gobinddass, Marie-Line</creator> <creator>Wald, Lucien</creator> <contributor>Espace pour le Développement (ESPACE-DEV) ; Université Montpellier 2 - Sciences et Techniques (UM2) - Université des Antilles et de la Guyane (UAG) - Institut de recherche pour le développement [IRD] - Université de la Réunion</contributor> <contributor>Centre Observation, Impacts, Énergie (O.I.E.) ; MINES ParisTech - École nationale supérieure des mines de Paris</contributor> <description>International audience</description> <source>International Journal of Remote Sensing</source> <publisher>Taylor & Francis: STM, Behavioural Science and Public Health Titles</publisher> <identifier>hal-00779675</identifier> <identifier>https://hal-mines-paristech.archives-ouvertes.fr/hal-00779675</identifier> <identifier>https://hal-mines-paristech.archives-ouvertes.fr/hal-00779675/document</identifier> <source>https://hal-mines-paristech.archives-ouvertes.fr/hal-00779675</source> <source>International Journal of Remote Sensing, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2013, 34 (8), pp.3012-3027. <10.1080/01431161.2012.756598></source> <identifier>DOI : 10.1080/01431161.2012.756598</identifier> <language>en</language> <subject lang=en>Meteosat</subject> <subject lang=en>remote sensing</subject> <subject lang=en>satellite</subject> <subject lang=en>cloud index</subject> <subject lang=en>solar radiation</subject> <subject lang=en>energy</subject> <subject>[SDU.OCEAN] Sciences of the Universe/Ocean, Atmosphere</subject> <subject>[SPI.SIGNAL] Engineering Sciences/Signal and Image processing</subject> <subject>[INFO.INFO-TS] Computer Science/Signal and Image Processing</subject> <type>Journal articles</type> <description lang=en>Measurements of daily means of surface solar irradiance made at four ground stations in French Guiana are compared to estimates from the HelioClim-3 database produced by the Heliosat-2 method applied to Meteosat satellite images. The bias ranges from 12 W m−2 (6% of the mean of measurements) to 23 W m−2 (12%), depending on the stations. The root mean square difference ranges between 23 W m−2 (11%) and 35 W m−2 (18%). The correlation coefficient (r) is close to 0.9. Better results are observed during the rainy season than during the dry season. Uncertainties are mainly due to the presence of clouds, large viewing angles of the Meteosat satellite, and limitations of the atmospheric transmittance model under the tropical atmospheric conditions. It is concluded that the Heliosat-2 method provides new knowledge about solar radiation in French Guiana.</description> <date>2013</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>