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dc.contributor.authorEhmele, Florian Tim*
dc.date.accessioned2021-02-12T04:37:14Z
dc.date.available2021-02-12T04:37:14Z
dc.date.issued2018*
dc.date.submitted2019-07-28 18:37:01*
dc.identifier34194*
dc.identifier.issn1795619*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/60055
dc.description.abstractThe risk estimation of precipitation events with high recurrence periods is difficult due to the limited time scale with meteorological observations. A homogenous distribution of rain gauges, especially in mountainous terrain, is also hardly convertible. In this study an analytical model with a high spatial resolution, designed for stochastic simulations of flood-related precipitation, is developed, evaluated and applied to different investigation areas in Germany.*
dc.languageGerman*
dc.relation.ispartofseriesWissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie*
dc.subjectQC1-999*
dc.subject.otherNiederschlag*
dc.subject.otherprecipitation*
dc.subject.otherStochastik*
dc.subject.otherMeteorologie*
dc.subject.otherSimulation*
dc.subject.otherflood risk*
dc.subject.othermeteorology*
dc.subject.othersimulation*
dc.subject.otherstochastic*
dc.subject.otherHochwasser*
dc.titleStochastische Simulation großflächiger, hochwasserrelevanter Niederschlagsereignisse*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000080495*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
virtual.oapen_relation_isPublishedBy.publisher_nameKIT Scientific Publishing
virtual.oapen_relation_isPublishedBy.publisher_websitehttp://www.ksp.kit.edu/
oapen.relation.isbn9783731507611*
oapen.pagesV, 264 p.*
oapen.volume76*


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