Please use this identifier to cite or link to this item: https://physrep.ff.bg.ac.rs/handle/123456789/1278
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dc.contributor.authorJanjic, Zavisaen
dc.contributor.authorĐurđević, Vladimiren
dc.contributor.authorVasic, Ratkoen
dc.contributor.authorBlack, Tomen
dc.date.accessioned2022-07-12T18:50:40Z-
dc.date.available2022-07-12T18:50:40Z-
dc.date.issued2015-01-01en
dc.identifier.isbn9781624103599en
dc.identifier.urihttps://physrep.ff.bg.ac.rs/handle/123456789/1278-
dc.description.abstractIssues relevant for modeling of the atmosphere on the global scale are discussed in the light of the advancements in computer technology. It should be noted, however, that the prediction of future computer developments over the next few decades is difficult, and that some of the current projections may not materialize. The problem of spherical geometry is addressed first. Several possible approaches are reviewed, including those that have been historically most popular, and those that are currently considered most promising in terms of computational efficiency and scalability. Also, implementation of global nonhydrostatic NWP models has been considered a priority at several meteorological centers. Having in mind the sensitivity of extended deterministic forecasts to small disturbances in initial data and model parameters, it is argued that we may need global nonhydrostatic models et even lower resolutions than in short-range regional runs, and that this is likely to bring additional problems with computational efficiency. As an example of a global model, the unified Nonhydrostatic Multiscale Model on the Arakawa B grid (NMMB) is presented. This model is being developed at National Centers for Environmental Predictions (NCEP) for spatial scales ranging from meso to global.en
dc.relation.ispartof7th AIAA Atmospheric and Space Environments Conference, 2015en
dc.titleChallenges and opportunities in modeling of the global atmosphereen
dc.typeConference Paperen
dc.identifier.doi10.2514/6.2015-2888en
dc.identifier.scopus2-s2.0-85088356473en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85088356473en
item.openairetypeConference Paper-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
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