Please use this identifier to cite or link to this item: https://physrep.ff.bg.ac.rs/handle/123456789/1273
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dc.contributor.authorVukovic, Anaen
dc.contributor.authorVujadinovic, Mirjamen
dc.contributor.authorĐurđević, Vladimiren
dc.contributor.authorCvetkovic, Bojanen
dc.contributor.authorRankovic-Vasic, Zoricaen
dc.contributor.authorPrzic, Zoranen
dc.contributor.authorRuml, Mirjanaen
dc.contributor.authorKrzic, Aleksandraen
dc.date.accessioned2022-07-12T18:49:04Z-
dc.date.available2022-07-12T18:49:04Z-
dc.date.issued2015-01-01en
dc.identifier.issn1613-0073en
dc.identifier.urihttps://physrep.ff.bg.ac.rs/handle/123456789/1273-
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.relation.ispartofCEUR Workshop Proceedingsen
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.typeConference Paperen
dc.identifier.scopus2-s2.0-84955478457en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84955478457en
dc.relation.volume1498en
dc.relation.firstpage892en
dc.relation.lastpage901en
item.openairetypeConference Paper-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
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