Refinement of the daily precipitation simulated by the CMIP5 models over the north of the Northeast of Brazil
The ability of the Artificial Neural Network (ANN) and the Multiple Linear Regression (MLR) in reproducing the area-average observed daily precipitation during the rainy season (Feb–Mar–Apr) over the north of the Northeast of Brazil (NEB) is examined. For the present climate of Dec-Jan-Feb from 1963...
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| Principais autores: | , |
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| Formato: | article |
| Idioma: | English |
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Frontiers Media
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/29242 |
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