Please use this identifier to cite or link to this item: https://physrep.ff.bg.ac.rs/handle/123456789/381
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dc.contributor.authorĆurić, M.en
dc.contributor.authorJanc, Dejanen
dc.date.accessioned2022-07-12T15:23:43Z-
dc.date.available2022-07-12T15:23:43Z-
dc.date.issued2011-12-12en
dc.identifier.issn1027-5606en
dc.identifier.urihttps://physrep.ff.bg.ac.rs/handle/123456789/381-
dc.description.abstractConvective clouds generate extreme rainfall events and flash floods in small areas with both large spatial and temporal variability. For this reason, the monitoring of the total accumulated precipitation fields at the surface with rain gauges and meteorological radars has both strengths and weakness. Alternatively, a numerical cloud model may be a useful tool to simulate convective precipitation for various analyses and predictions. The main objective of this paper is to show that the cloud-resolving model reproduces well the accumulated convective precipitation obtained from the rain gauge network data in the area with frequent split storms. We perform comparisons between observations and model samples of the areal accumulated convective precipitation for a 15-year period over treated area. Twenty-seven convective events have been selected. Statistical analyses reveal that the model areal accumulated convective precipitation closely match their observed values with a correlation coefficient of 0.80. © Author(s) 2011.en
dc.relation.ispartofHydrology and Earth System Sciencesen
dc.titleAnalysis of predicted and observed accumulated convective precipitation in the area with frequent split stormsen
dc.typeArticleen
dc.identifier.doi10.5194/hess-15-3651-2011en
dc.identifier.scopus2-s2.0-82955173025en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/82955173025en
dc.relation.issue12en
dc.relation.volume15en
dc.relation.firstpage3651en
dc.relation.lastpage3658en
item.grantfulltextnone-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
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