Please use this identifier to cite or link to this item: https://physrep.ff.bg.ac.rs/handle/123456789/384
DC FieldValueLanguage
dc.contributor.authorCuric, M.en
dc.contributor.authorJanc, Dejanen
dc.date.accessioned2022-07-12T15:23:44Z-
dc.date.available2022-07-12T15:23:44Z-
dc.date.issued1993-01-01en
dc.identifier.issn0894-8763en
dc.identifier.urihttps://physrep.ff.bg.ac.rs/handle/123456789/384-
dc.description.abstractA one-dimensional time-dependent nonhydrostatic convective cloud model, with an entrainment formulation that includes the combined effects of turbulent and organized dynamic processes and forced lifting, is used to improve the forecasting of maximum cloud-top heights for application in the hail suppression program of the Hydrometeorological Service of Serbia. It is shown that the model results are highly dependent on the entrainment formulation used. The correlation coefficient r between predicted cloud-top heights and radar echo tops varies from 0.48 to 0.90 depending on the entrainment rate. The most acceptable model results are obtained for the entrainment rate that dominates the dynamic process (r = 0.89). The forced lifting slightly increases the correlation coefficient (r = 0.90) since it tends to improve predicted cloud tops with heights between 8.5 and 11 km. -from Authorsen
dc.relation.ispartofJournal of Applied Meteorologyen
dc.titlePredictive capabilities of a one-dimensional convective cloud model with forced lifting and a new entrainment formulationen
dc.typeArticleen
dc.identifier.doi10.1175/1520-0450(1993)032<1733:PCOAOD>2.0.CO;2en
dc.identifier.scopus2-s2.0-0027805239en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/0027805239en
dc.relation.issue11en
dc.relation.volume32en
dc.relation.firstpage1733en
dc.relation.lastpage1740en
item.openairetypeArticle-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
Appears in Collections:Journal Article
Show simple item record

SCOPUSTM   
Citations

19
checked on Nov 24, 2024

Page view(s)

7
checked on Nov 30, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.