Downscaling Statistical Model Techniques for Climate Change Analysis Applied to the Amazon Region
Joint Authors
Oliveira, Magaly
Marengo, José Antonio
Mendes, David
Rodrigues, Sidney
Source
Advances in Artificial Neural Systems
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Mendes, David& Marengo, José Antonio& Rodrigues, Sidney& Oliveira, Magaly. 2014. Downscaling Statistical Model Techniques for Climate Change Analysis Applied to the Amazon Region. Advances in Artificial Neural Systems،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-483722
Modern Language Association (MLA)
Mendes, David…[et al.]. Downscaling Statistical Model Techniques for Climate Change Analysis Applied to the Amazon Region. Advances in Artificial Neural Systems No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-483722
American Medical Association (AMA)
Mendes, David& Marengo, José Antonio& Rodrigues, Sidney& Oliveira, Magaly. Downscaling Statistical Model Techniques for Climate Change Analysis Applied to the Amazon Region. Advances in Artificial Neural Systems. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-483722
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483722