dc.contributorMendes, David
dc.contributor
dc.contributorhttp://lattes.cnpq.br/9415435965900811
dc.contributor
dc.contributorhttp://lattes.cnpq.br/4411895644401494
dc.contributorLúcio, Paulo Sérgio
dc.contributor
dc.contributorhttp://lattes.cnpq.br/5291232352923880
dc.contributorSouza, Everaldo Barreiros de
dc.contributor
dc.contributorhttp://lattes.cnpq.br/6257794694839685
dc.contributorAlves, José Maria Brabo
dc.contributor
dc.contributorhttp://lattes.cnpq.br/6089287551555329
dc.contributorSpyrides, Maria Helena Constantino
dc.contributor
dc.contributorhttp://lattes.cnpq.br/5023632543506327
dc.creatorBarreto, Naurinete de Jesus da Costa
dc.date.accessioned2016-05-06T19:50:50Z
dc.date.accessioned2022-10-06T12:47:25Z
dc.date.available2016-05-06T19:50:50Z
dc.date.available2022-10-06T12:47:25Z
dc.date.created2016-05-06T19:50:50Z
dc.date.issued2015-02-06
dc.identifierBARRETO, Naurinete de Jesus da Costa. Análise da variabilidade da precipitação sobre o Brasil tropical via um índice intrassazonal multivariado. 2015. 120f. Tese (Doutorado em Ciências Climáticas) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2015.
dc.identifierhttps://repositorio.ufrn.br/jspui/handle/123456789/20409
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3958971
dc.description.abstractThe intraseasonal variability is an important component of Earth’s climate system, shows interaction with various meteorological phenomena, being a link between weather and climate systems, making it an essential tool for forecasting and climate projection. The aim of this study is to evaluate the behavior of intraseasonal precipitation over Brazil Tropical and possible changes caused in climate simulation scenarios, Historical that represents the current climate (1979 -2005) and Representative Concentration Pathways (RCP8.5) representing projections of climate change with increasing radioactive forcing of air at 8.5W/m2 for the period 2070 to 2100. Among the results are: the first step to the establishment of a intraseasonal multivariate index for Brazil Tropical, by applying the maximum covariance analysis, associated with the projection ofthedominantmodesinorthogonalaxes.Thusitispossibletocharacterizetheresulting patterns in eight phases, whose compositions represent the evolution of intrassazonalidade on the study region. In the second step was carried out an assessment of the sensitivity of the models Coupled Model Intercomparison Project Phase 5 (CMIP5) theweeklyvariabilityofrainfallduringthemonthsofsummerandfallAustal,thesixteen models evaluated, it was observed that only six were able to represent significantly the pattern of rainfall, and of these MRI-CGCM3 model was the one that obtained the best result. The third and final step was the application of the methodology used in step 1 in the model that best represented the rainfall pattern, found in Step 2, ie in MRI-CGCM3 in a general context it was noted that this model is able to represent well the pattern of spatial variability and evolutionary cycle, however the regional point of view, there is still need for improvement in the representation of systems.
dc.languagepor
dc.publisherUniversidade Federal do Rio Grande do Norte
dc.publisherBrasil
dc.publisherUFRN
dc.publisherPROGRAMA DE PÓS-GRADUAÇÃO EM CIÊNCIAS CLIMÁTICAS
dc.rightsAcesso Aberto
dc.subjectIntrassazonal
dc.subjectMudanças climáticas
dc.subjectCMIP5
dc.titleAnálise da variabilidade da precipitação sobre o Brasil tropical via um índice intrassazonal multivariado
dc.typedoctoralThesis


Este ítem pertenece a la siguiente institución