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Downscaling Statistical Model Techniques for Climate Change Analysis Applied to the Amazon Region
المؤلفون المشاركون
Oliveira, Magaly
Marengo, José Antonio
Mendes, David
Rodrigues, Sidney
المصدر
Advances in Artificial Neural Systems
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-05-29
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-483722
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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