Приказ основних података о документу

dc.creatorVuković, Ana
dc.creatorVujadinović, Mirjam
dc.creatorDjurdjević, V.
dc.creatorCvetković, B.
dc.creatorRanković-Vasić, Zorica
dc.creatorPržić, Zoran
dc.creatorRuml, Mirjana
dc.creatorKrzić, A.
dc.date.accessioned2020-12-17T21:22:45Z
dc.date.available2020-12-17T21:22:45Z
dc.date.issued2015
dc.identifier.issn1613-0073
dc.identifier.urihttp://aspace.agrif.bg.ac.rs/handle/123456789/3842
dc.description.abstractClimate change studies involve changes in climate system of global long-term scales with effects on regional and local climates, down to shortrange time scales, like weather hazards and extremes. Climate studies significantly contribute to the future strategic planning in economic development and thereby must produce results with high level of confidence. Global climate models simulations of the past and future climate are initial step in climate change research, but their coarse resolution data are unable to provide useful information for analysis on national levels. In this paper is presented workflow algorithm of the procedures necessary to convert coarse global climate system projected changes to fine scale data with included effect of small scale features and reduced model bias impact.en
dc.publisherCEUR-WS
dc.rightsrestrictedAccess
dc.sourceCEUR Workshop Proceedings
dc.subjectBias Correctionen
dc.subjectClimate Changeen
dc.subjectClimate Modelen
dc.titleFine scale climate change analysis: From global models to local impact studies in serbiaen
dc.typeconferenceObject
dc.rights.licenseARR
dc.citation.epage901
dc.citation.other1498: 892-901
dc.citation.spage892
dc.citation.volume1498
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_agrospace_3842
dc.identifier.scopus2-s2.0-84955478457
dc.type.versionpublishedVersion


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