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dc.contributor.authorZeng, Yuefei*
dc.date.accessioned2021-02-11T12:10:45Z
dc.date.available2021-02-11T12:10:45Z
dc.date.issued2013*
dc.date.submitted2019-07-30 20:02:01*
dc.identifier35346*
dc.identifier.issn01795619*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/45906
dc.description.abstractDoppler radars provide unique 3D information about precipitating clouds in high spatial and temporal resolutions. However, the observed quantities (reflectivity, Doppler velocity and polarization properties) are not directly comparable to the variables of numerical prediction models. In order to enable radar data assimilation, a comprehensive modular radar forward operator has been developed.*
dc.languageEnglish*
dc.relation.ispartofseriesWissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie*
dc.subjectQC1-999*
dc.subject.classificationbic Book Industry Communication::P Mathematics & science::PH Physicsen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PH Physicsen_US
dc.subject.otherNWP model*
dc.subject.otherradar simulator*
dc.subject.otherparallelized and vectorized code*
dc.subject.otherweather forecast*
dc.subject.otherdata assimilation*
dc.titleEfficient Radar Forward Operator for Operational Data Assimilation within the COSMO-model*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000036921*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731501282*
oapen.pagesXI, 235 p.*
oapen.volume60*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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