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AuthorKriesche, Bjorndc.contributor.author
AuthorKoubek, Antonindc.contributor.author
AuthorPawlas, Zbynekdc.contributor.author
AuthorBenes, Viktordc.contributor.author
AuthorHess, Reinholddc.contributor.author
AuthorSchmidt, Volkerdc.contributor.author
Date of accession2018-11-29T07:50:06Zdc.date.accessioned
Available in OPARU since2018-11-29T07:50:06Zdc.date.available
Date of first publication2017dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordArea probabilitydc.subject
KeywordStochastic modeldc.subject
KeywordOccurrence of precipitationdc.subject
KeywordPrecipitation amountdc.subject
KeywordProbabilistic weather predictiondc.subject
KeywordMonte Carlo simulationdc.subject
Keywordspace-time rainfalldc.subject
Dewey Decimal GroupDDC 510 / Mathematicsdc.subject.ddc
TitleOn the computation of area probabilities based on a spatial stochastic model for precipitation cells and precipitation amountsdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Mathematik und Wirtschaftswissenschaftenuulm.affiliationGeneral
InstitutionInstitut für Stochastikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1007/s00477-016-1321-8dc.identifier.doiExternal
Source - Title of sourceStochastic Environmental Research and Risk Assessmentsource.title
Source - Place of publicationSpringersource.publisher
Source - Volume31source.volume
Source - Issue10source.issue
Source - Year2017source.year
Source - From page2659source.fromPage
Source - To page2674source.toPage
Source - ISSN1436-3240source.identifier.issn
Source - eISSN1436-3259source.identifier.eissn
CommunityFakultät für Mathematik und Wirtschaftswissenschaftenuulm.community
WoS000415137900013uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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