Avaliação da precipitação projetada pelos modelos climáticos globais para o Sudeste do Brasil utilizando SIG.

Global climatic models (GCM) are considered the best tool to project climate change scenarios, despite their uncertainties. Projections for each region are different and vary among seasons. The aim of this study was to evaluate projections of precipitation from 15 GCMs provided by the IPCC-AR4 at Southeastern Brazil for 2071-2100 period, scenario A2. A geographic database has been structured with projected climate data and the observed data obtained from the Climate Research Unit. Principal component and cluster analysis were applied for grouping models with similar performance, based on bias rainfall projections, after bias correction. Models were clusterd accordingly to spatial similarity of projections, for each season. Spatial similarities varied among seasons.

Bibliographic Details

Main Authors:	HAMADA, E., MAIA, A. de H. N., GHINI, R., THOMAZ, M. C., GONÇALVES, R. R. V., LANA, J. T. de O., ALMEIDA, E. G. de
Other Authors:	EMILIA HAMADA, CNPMA; ALINE DE HOLANDA NUNES MAIA, CNPMA; RAQUEL GHINI, CNPMA; MARÍLIA CAMPOS THOMAZ, UNICAMP; RENATA RIBEIRO DO VALLE GONÇALVES, UNICAMP; JOSE TADEU DE OLIVEIRA LANA, CNPMA; ELIAS GOMES DE ALMEIDA, CNPMA.
Format:	Separatas biblioteca
Language:	pt_BR por
Published:	2012-02-14T11:11:11Z
Subjects:	SIG, Análise de agrupamento hierárquico., Climatologia, Mudança Climática., Climate change, Cluster analysis, Geographic information systems,
Online Access:	http://www.alice.cnptia.embrapa.br/alice/handle/doc/915439
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