Downscaling statistical model techniques for climate change analysis applied to the Amazon Region

Mendes, David; Marengo, José Antonio; Rodrigues, Sidney; Oliveira, Magaly

Downscaling statistical model techniques for climate change analysis applied to the Amazon Region

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dc.contributor.author	Mendes, David
dc.contributor.author	Marengo, José Antonio
dc.contributor.author	Rodrigues, Sidney
dc.contributor.author	Oliveira, Magaly
dc.date.accessioned	2020-06-11T13:03:03Z
dc.date.available	2020-06-11T13:03:03Z
dc.date.issued	2014-05-29
dc.description.resumo	The Amazon is an area covered predominantly by dense tropical rainforest with relatively small inclusions of several other types of vegetation. In the last decades, scientific research has suggested a strong link between the health of the Amazon and the integrity of the global climate: tropical forests and woodlands (e.g., savannas) exchange vast amounts of water and energy with the atmosphere and are thought to be important in controlling local and regional climates. Consider the importance of the Amazon biome to the global climate changes impacts and the role of the protected area in the conservation of biodiversity and state-of-art of downscaling model techniques based on ANN Calibrate and run a downscaling model technique based on the Artificial Neural Network (ANN) that is applied to the Amazon region in order to obtain regional and local climate predicted data (e.g., precipitation). Considering the importance of the Amazon biome to the global climate changes impacts and the state-of-art of downscaling techniques for climate models, the shower of this work is presented as follows: the use of ANNs good similarity with the observation in the cities of Belém and Manaus, with correlations of approximately 88.9% and 91.3%, respectively, and spatial distribution, especially in the correction process, representing a good fit	pt_BR
dc.identifier.citation	MENDES, David; MARENGO, Jose; SIDNEY, Rodrigues; Oliveira, Magaly . Downscaling statistical model techniques for climate change analysis applied to the Amazon Region. Advances in Artificial Neural Systems, v. 2014, p. 1-10, 2014. Disponível em: http://downloads.hindawi.com/archive/2014/595462.pdf. Acesso em: 01 Junho 2020. https://doi.org/10.1155/2014/595462	pt_BR
dc.identifier.doi	10.1155/2014/595462
dc.identifier.uri	https://repositorio.ufrn.br/jspui/handle/123456789/29241
dc.language	en	pt_BR
dc.publisher	Advances in Artificial Neural Systems	pt_BR
dc.rights	Attribution 3.0 Brazil	*
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/br/	*
dc.subject	Climate change	pt_BR
dc.subject	Amazon rainforest	pt_BR
dc.title	Downscaling statistical model techniques for climate change analysis applied to the Amazon Region	pt_BR
dc.type	article	pt_BR