IG - Instituto de Geociências
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/2172
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Navegando IG - Instituto de Geociências por Autor "ALVES, José Maria Brabo"
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Item Acesso aberto (Open Access) Modelos acoplados do IPCC-AR4 e o gradiente meridional de temperatura da superfície do mar no Atlântico Tropical: relações com a precipitação no norte do nordeste do Brasil(2014-12) ALVES, José Maria Brabo; CHAVES, Rosane Rodrigues; SERVAIN, Jacques; SOUZA, Everaldo Barreiros de; SILVA, Emerson Mariano da; SANTOS, Antônio Carlos Santana dos; BARBOSA, Augusto César Barros; OLIVEIRA, Carlos Jacinto de; SOMBRA, Sérgio Sousa; COSTA, Alexandre Araújo; PINHEIRO, Francisco Geraldo de MeloThis article shows how three coupled models of the Intergovernmental Panel on Climate Change-Fourth Assessment Report (IPCC-AR4), the FGOALS1.0G - LASG of the Institute of Atmospheric Physics of China, the GISSER of the National Aeronautics and Space Administration (NASA) and the GFDL_CM2 of the National Oceanic and Atmospheric Administration (NOAA) have simulated the meridional gradient variability of the Sea Surface Temperature (SST) in the tropical Atlantic during February to May months for the period from 1901 to 1999. The precipitation during the rainy season (February-May) in the northern sector of Northeast Brazil (NEB) was also analyzed by those three models and compared with observations. The GISSER and FGOALS1.0G models showed better performance at signal simulation of signal of the meridional SST gradient over the tropical Atlantic for the period 1901-1999. It is noteworthy that the coupled models have performed better in simulating the decadal trend, explaining 50% to 80% of gradient variability, being the southern sector SST better simulated.Item Acesso aberto (Open Access) Sobre o sinal de um downscaling dinâmico às oscilações intrassazonais de precipitação no setor norte do Nordeste do Brasil(2012-07) ALVES, José Maria Brabo; SOUZA, Everaldo Barreiros de; COSTA, Alexandre Araújo; MARTINS, Eduardo Sávio Passos Rodrigues; SILVA, Emerson Mariano daIntraseasonal oscillations are factors controlling the interannual variability of tropical rainfall. The knowledge of how numerical models reproduce its variability is important to better understand their roles and support operations of weather and climate. This paper investigates the sensitivity of a downscaling dynamic precipitation model in predicting the intraseasonal oscillations observed in the northern sector of Northeast Brazil (SNNEB - 45°W-37ºW and 2ºS-12°S) during the period from 1974 to 2000. The results showed that rainfall was simulated on SNNEB explained more than 70% of the variability of rainfall observed in the quarter February to April in this region. Statistical of averages, standard deviations and percent this quarter, in this region in years of climatic contrasts in the Oceans Pacific and Atlantic Tropical were also well captured by the precipitation simulated by downscaling. Spectral analysis with the use of wavelets showed that dynamic downscaling has the potential to reproduce observed spectral peaks of precipitation in SNNEB scales up to 8 days and the scales between 64 and 128 days for the period January 1 to June 30.