Rainfall forecast in Brazil using machine learning (2025)
- Authors:
- Autor USP: CALDAS, IBERE LUIZ - IF
- Unidade: IF
- DOI: 10.1063/5.0259222
- Subjects: FÍSICA ATMOSFÉRICA; OCEANOS; MUDANÇA CLIMÁTICA; ENSINO POR COMPUTADOR; REDES PARA COLETA DE PLÂNCTON; DESASTRES NATURAIS; TEORIA DA DECISÃO
- Keywords: ATMOSPHERIC SCIENCE; OCEANS; WEATHER FORECASTING; ALGORITHMS AND DATA STRUCTURE; CLIMATE CHANGE; DATA ACQUISITION; ARTIFICIAL NEURAL NETWORKS; MACHINE LEARNING; NATURAL DISASTERS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: AIP Publishing LLC
- Publisher place: Melville, NY
- Date published: 2025
- Source:
- Título: Chaos: An Interdisciplinary Journal of Nonlinear Science
- Volume/Número/Paginação/Ano: Volume 35, Issue 7 , 073116, July 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVA, Sidney T. da et al. Rainfall forecast in Brazil using machine learning. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2025Tradução . . Disponível em: https://doi.org/10.1063/5.0259222. Acesso em: 09 fev. 2026. -
APA
Silva, S. T. da, Milani, L. C., Gabrick, E. C., Iarosz, K. C., Viana, R. L., Caldas, I. L., & Batista, A. M. (2025). Rainfall forecast in Brazil using machine learning. Chaos: An Interdisciplinary Journal of Nonlinear Science. doi:10.1063/5.0259222 -
NLM
Silva ST da, Milani LC, Gabrick EC, Iarosz KC, Viana RL, Caldas IL, Batista AM. Rainfall forecast in Brazil using machine learning [Internet]. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2025 ;[citado 2026 fev. 09 ] Available from: https://doi.org/10.1063/5.0259222 -
Vancouver
Silva ST da, Milani LC, Gabrick EC, Iarosz KC, Viana RL, Caldas IL, Batista AM. Rainfall forecast in Brazil using machine learning [Internet]. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2025 ;[citado 2026 fev. 09 ] Available from: https://doi.org/10.1063/5.0259222 - Influence of the electric and magnetic shears on tokamak transport
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- Separation of particles leading either to decay and unlimited growth of energy in a driven stadium-like billiard
- Hamiltonian description and escape patterns for Tokamaks with poloidal divertor and correction coils
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- Integrable map with freedom of triangularity and elongation for plasmas with poloidal divertor
- Parameter uncertainties on the predictability of periodic ity and chaos
Informações sobre o DOI: 10.1063/5.0259222 (Fonte: oaDOI API)
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