Matches in SemOpenAlex for { <https://semopenalex.org/work/W2875832279> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2875832279 endingPage "182" @default.
- W2875832279 startingPage "169" @default.
- W2875832279 abstract "Assessment of the impacts of climate change on water resources has been obtainedsignificant attentions in the past decade. This paper assesses the climate change impacts onprecipitation in the Minab basin, in the Hormozgan province in Iran. Two monthlyprecipitation downscaling methods were proposed based on multi-layer perceptron (MLP)and radial basis function (RBF) neural networks. The downscaling models were calibratedand validated using the large scale climatic parameters (predictors) derived from NationalCenter for Environmental Prediction (NCEP)/ National Centre for Atmospheric Research(NCAR) reanalysis data set for downscaling monthly precipitation in the Minab basin inIran. Pearson correlation was employed to choose the predictors among the NCEP/ NCARreanalysis data set and final predictor combination for each station is assigned. The resultsof the downscaling models revealed that the MLP model produced more accurate andconsistent results by downscaling the large scale climatic parameters compared to the RBFmodel. The proposed model can be reliably utilized for developing future projections ofprecipitation using the general circulation models outputs which can be employed also asthe inputs in hydrological models." @default.
- W2875832279 created "2018-07-19" @default.
- W2875832279 creator A5026845848 @default.
- W2875832279 creator A5028529306 @default.
- W2875832279 creator A5071517100 @default.
- W2875832279 creator A5090239692 @default.
- W2875832279 date "2017-07-01" @default.
- W2875832279 modified "2023-09-24" @default.
- W2875832279 title "Performance evaluation of artificial neural networks in statistical downscaling of monthly precipitation (Case study: Minab watershed)" @default.
- W2875832279 doi "https://doi.org/10.22069/ijerr.2017.3874" @default.
- W2875832279 hasPublicationYear "2017" @default.
- W2875832279 type Work @default.
- W2875832279 sameAs 2875832279 @default.
- W2875832279 citedByCount "0" @default.
- W2875832279 crossrefType "journal-article" @default.
- W2875832279 hasAuthorship W2875832279A5026845848 @default.
- W2875832279 hasAuthorship W2875832279A5028529306 @default.
- W2875832279 hasAuthorship W2875832279A5071517100 @default.
- W2875832279 hasAuthorship W2875832279A5090239692 @default.
- W2875832279 hasConcept C107054158 @default.
- W2875832279 hasConcept C111368507 @default.
- W2875832279 hasConcept C119857082 @default.
- W2875832279 hasConcept C127313418 @default.
- W2875832279 hasConcept C132651083 @default.
- W2875832279 hasConcept C150547873 @default.
- W2875832279 hasConcept C153294291 @default.
- W2875832279 hasConcept C154945302 @default.
- W2875832279 hasConcept C179717631 @default.
- W2875832279 hasConcept C205649164 @default.
- W2875832279 hasConcept C2778755073 @default.
- W2875832279 hasConcept C39432304 @default.
- W2875832279 hasConcept C41008148 @default.
- W2875832279 hasConcept C41156917 @default.
- W2875832279 hasConcept C49204034 @default.
- W2875832279 hasConcept C50644808 @default.
- W2875832279 hasConcept C58489278 @default.
- W2875832279 hasConcept C58640448 @default.
- W2875832279 hasConcept C60908668 @default.
- W2875832279 hasConceptScore W2875832279C107054158 @default.
- W2875832279 hasConceptScore W2875832279C111368507 @default.
- W2875832279 hasConceptScore W2875832279C119857082 @default.
- W2875832279 hasConceptScore W2875832279C127313418 @default.
- W2875832279 hasConceptScore W2875832279C132651083 @default.
- W2875832279 hasConceptScore W2875832279C150547873 @default.
- W2875832279 hasConceptScore W2875832279C153294291 @default.
- W2875832279 hasConceptScore W2875832279C154945302 @default.
- W2875832279 hasConceptScore W2875832279C179717631 @default.
- W2875832279 hasConceptScore W2875832279C205649164 @default.
- W2875832279 hasConceptScore W2875832279C2778755073 @default.
- W2875832279 hasConceptScore W2875832279C39432304 @default.
- W2875832279 hasConceptScore W2875832279C41008148 @default.
- W2875832279 hasConceptScore W2875832279C41156917 @default.
- W2875832279 hasConceptScore W2875832279C49204034 @default.
- W2875832279 hasConceptScore W2875832279C50644808 @default.
- W2875832279 hasConceptScore W2875832279C58489278 @default.
- W2875832279 hasConceptScore W2875832279C58640448 @default.
- W2875832279 hasConceptScore W2875832279C60908668 @default.
- W2875832279 hasIssue "2" @default.
- W2875832279 hasLocation W28758322791 @default.
- W2875832279 hasOpenAccess W2875832279 @default.
- W2875832279 hasPrimaryLocation W28758322791 @default.
- W2875832279 hasRelatedWork W1546272003 @default.
- W2875832279 hasRelatedWork W1606976719 @default.
- W2875832279 hasRelatedWork W2009085104 @default.
- W2875832279 hasRelatedWork W2042851900 @default.
- W2875832279 hasRelatedWork W2048086440 @default.
- W2875832279 hasRelatedWork W205438920 @default.
- W2875832279 hasRelatedWork W2131434151 @default.
- W2875832279 hasRelatedWork W2145587775 @default.
- W2875832279 hasRelatedWork W2265991327 @default.
- W2875832279 hasRelatedWork W2796833928 @default.
- W2875832279 hasRelatedWork W2806559000 @default.
- W2875832279 hasRelatedWork W2914386312 @default.
- W2875832279 hasRelatedWork W2983786199 @default.
- W2875832279 hasRelatedWork W3019859214 @default.
- W2875832279 hasRelatedWork W3024028571 @default.
- W2875832279 hasRelatedWork W3039590110 @default.
- W2875832279 hasRelatedWork W3045929437 @default.
- W2875832279 hasRelatedWork W3160699140 @default.
- W2875832279 hasRelatedWork W3194253231 @default.
- W2875832279 hasRelatedWork W3199672645 @default.
- W2875832279 hasVolume "5" @default.
- W2875832279 isParatext "false" @default.
- W2875832279 isRetracted "false" @default.
- W2875832279 magId "2875832279" @default.
- W2875832279 workType "article" @default.