%0 Journal Article
%T Downscaling Statistical Model Techniques for Climate Change Analysis Applied to the Amazon Region
%A David Mendes
%A Jos¨¦ Antonio Marengo
%A Sidney Rodrigues
%A Magaly Oliveira
%J Advances in Artificial Neural Systems
%D 2014
%I Hindawi Publishing Corporation
%R 10.1155/2014/595462
%X 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 Bel¨¦m and Manaus, with correlations of approximately 88.9% and 91.3%, respectively, and spatial distribution, especially in the correction process, representing a good fit. 1. Introduction The Amazon is an area covered predominantly by dense tropical rainforest with relatively small inclusions of several other types of vegetation (e.g., Bromeliad, Heliconia, Orchids, water lily, and others). 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., Cerrado) exchange vast amounts of water and energy with the atmosphere and are thought to be important in controlling local and regional climates [1]. The same authors showed that the assessment of future cerrado land use scenarios is also necessary to understand the future climate and ecosystem health of the Amazon. The Amazon Biome is an area covered predominantly by dense tropical rainforest with relatively small inclusions of several other types of vegetation. It encompasses 6.7 million km2 (twice the size of India) and is shared by eight countries (Brazil, Bolivia, Peru, Ecuador, Colombia, Venezuela, Guyana, and Suriname), as well as the overseas territory of French Guiana. The Amazon Biome houses at least 11% of the world¡¯s known biodiversity, including endemic and endangered flora and fauna, and its river accounts for 15-16% of the
%U http://www.hindawi.com/journals/aans/2014/595462/