untitled
<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T15:42:17Z</responseDate> <request identifier=oai:HAL:hal-00403847v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-00403847v1</identifier> <datestamp>2018-01-11</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:phys</setSpec> <setSpec>subject:sdu</setSpec> <setSpec>collection:INSU</setSpec> <setSpec>collection:METEO</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:GM</setSpec> <setSpec>collection:AGROPOLIS</setSpec> <setSpec>collection:RENAG</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:B3ESTE</setSpec> <setSpec>collection:UNIV-MONTPELLIER</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Impact of high-resolution data assimilation of GPS zenith delay on Mediterranean heavy rainfall forecasting</title> <creator>Boniface, Karen</creator> <creator>Ducrocq, Véronique</creator> <creator>Jaubert, Geneviève</creator> <creator>Yan, Xin</creator> <creator>Brousseau, Pierre</creator> <creator>Masson, Frédéric</creator> <creator>Champollion, Cédric</creator> <creator>Chéry, Jean</creator> <creator>Doerflinger, Erik</creator> <contributor>Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Groupe d'étude de l'atmosphère météorologique (CNRM-GAME) ; Institut national des sciences de l'Univers (INSU - CNRS) - Météo France - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Institut de physique du globe de Strasbourg (IPGS) ; Centre National de la Recherche Scientifique (CNRS) - Institut national des sciences de l'Univers (INSU - CNRS)</contributor> <contributor>RENAG and OHMCV support</contributor> <description>International audience</description> <source>ISSN: 0992-7689</source> <source>EISSN: 1432-0576</source> <source>Annales Geophysicae</source> <publisher>European Geosciences Union</publisher> <identifier>hal-00403847</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-00403847</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-00403847/document</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-00403847/file/angeo-27-2739-2009.pdf</identifier> <source>https://hal.archives-ouvertes.fr/hal-00403847</source> <source>Annales Geophysicae, European Geosciences Union, 2009, 27, pp.2739-2753</source> <language>en</language> <subject lang=it>Mesoscale meteorology</subject> <subject lang=it>Precipitation</subject> <subject lang=it>GPS</subject> <subject>[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]</subject> <subject>[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]</subject> <subject>[PHYS.PHYS.PHYS-AO-PH] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>Impact of GPS (Global Positioning System) data assimilation is assessed here using a high-resolution numerical weather prediction system at 2.5 km horizontal resolution. The Zenithal Tropospheric Delay (ZTD) GPS data from mesoscale networks are assimilated with the 3DVAR AROME data assimilation scheme. Data from more than 280 stations over the model domain have been assimilated during 15-day long assimilation cycles prior each of the two studied events. The results of these assimilation cycles show that the assimilation of GPS ZTD with the AROME system performs well in producing analyses closer to the ZTD observations in average. Then the impacts of assimilating GPS data on the precipitation forecast have been evaluated. For the first case, only the AROME runs starting a few hours prior the triggering of the convective system are able to simulate the convective precipitation. The assimilation of GPS ZTD observations improves the simulation of the spatial extent of the precipitation, but slightly underestimates the heaviest precipitation in that case compared with the experiment without GPS. The accuracy of the precipitation forecast for the second case is much better. The analyses from the control assimilation cycle provide already a good description of the atmosphere state that cannot be further improved by the assimilation of GPS observations. Only for the latest day (22 November 2007), significant differences have been found between the two parallel cycles. In that case, the assimilation of GPS ZTD allows to improve the first 6 to 12 hours of the precipitation forecast.</description> <contributor>RGP</contributor> <contributor>Orphéon</contributor> <date>2009</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>