Navegando por Autor "KUHN, Paulo Afonso Fischer"

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Acesso aberto (Open Access)
Climate estimates for Eastern Amazon with OLAM model
(2014-12) SILVA, Renato Ramos da; VITORINO, Maria Isabel; KUHN, Paulo Afonso Fischer; ANANIAS, Daniela dos Santos
The OLAM model has as its characteristics the advantage to represent simultaneously the regional and global meteorological phenomena using a refining grid scheme. During REMAM project OLAM was applied for a few case studies with the goal to evaluate its performance to estimate the regional climate for the eastern Amazon during periods of El Niño and La Niña. Case studies were performed for the rainy periods of the years 2010 and 2011 that were driven by distinct oceanic conditions. Initially, the model results were compared with local observations. The results demonstrated that OLAM was able to represent well the major precipitating regions, the diurnal temperature cycle evolution, and the wind dynamics. After that, analysis of the results demonstrated that if we provide good initial conditions and a good representation of the sea surface temperature evolution, OLAM is able to forecast with two or three months in advance if a rainy season would be wet or dry.
Acesso aberto (Open Access)
Evento extremo de chuva-vazão na bacia hidrográfica do rio Araguari, Amapá, Brasil
(Universidade Federal do Pará, 2014-12) CUNHA, Alan Cavalcanti da; VILHENA, Jefferson Erasmo De Souza; SANTOS, Eldo Silva Dos; SARAIVA, Jaci Maria Bilhalva; KUHN, Paulo Afonso Fischer; BRITO, Daímio Chaves; SOUZA, Everaldo Barreiros de; ROCHA, Edson José Paulino da; CUNHA, Helenilza Ferreira Albuquerque; BRITO, Alaan Ubaiara; BRASIL JUNIOR, Antonio Cesar Pinho; PACA, Victor Hugo da Motta; SANTOS, Paula Verônica Campos Jorge
The objective of this investigation was to analyse the extreme river flows which have occurred between 9 and 14 April 2011 in the Rio Araguari-AP. The methodology consisted of three main steps: 1) re-analysis of precipitation estimated by the BRAMS (Brazilian Development in Regional Atmospheric Model System) model using the synoptic of the same period as support, 2) analysis of streamflow in sections of hydrological monitoring in Porto Platon, Capivari and Serra do Navio (ADCP-Accustic Profiller Doppler Current); 3) statistic analysis of the time series of maximum river flows in Porto Platon using Gumbel distribution. It was observed that the BRAMS system partially captured the standard precipitation when compared with the synoptic analysis and literature data, but the extreme hydrological responses representation still needs an optimization. In Porto Platon a flow record of 4036 m3 /s was recorded, whose behavior was analyzed from the perspective of the available monitoring mechanisms in the State. It was concluded that such extreme events are poorly detectable and offer considerable risks to users of the basin. The stream flow prediction based on available hydrological series was 100 years recurrence, but the analysis have revealed that this period would be 360 years, indicating significant deficiency of the prediction system of extreme events in the State.
Acesso aberto (Open Access)
Precipitação sazonal sobre a Amazônia oriental no período chuvoso: observações e simulações regionais com o RegCM3
(2009-06) SOUZA, Everaldo Barreiros de; LOPES, Marcio Nirlando Gomes; ROCHA, Edson José Paulino da; SOUZA, José Ricardo Santos de; CUNHA, Alan Cavalcanti da; SILVA, Renato Ramos da; FERREIRA, Douglas Batista da Silva; SANTOS, Daniel Meninéa; CARMO, Alexandre Melo Casseb do; SOUSA, José Raimundo Abreu de; GUIMARÃES, Paulo Lima; MOTA, Maria Aurora Santos da; MAKINO, Midori; SENNA, Renato Cruz; SOUSA, Adriano Marlisom Leão de; MOTA, Galdino Viana; KUHN, Paulo Afonso Fischer; SOUZA, Paulo Fernando de Souza; VITORINO, Maria Isabel
This paper presents a contribution on the climate modelling studies with emphasis on seasonal rainfall variability in eastern Amazonia, during the austral summer and autumn seasons (DJF and MAM). Based on RegCM3 regional climate simulations for a 26 years period (1982/83 to 2007/08) using high resolution domain scale (30 km) and two different convection schemes (Grell and MIT), it was investigated the model performance to simulate the regional pluviometric distribution in eastern Amazon, with reference to a new observational data base containing regional aspects extracted from a dense rain gauge station network. The quantitative analysis showed that RegCM3 presents systematic errors, especially those related to the dry bias in the Amapá and north/northeast of Pará using both schemes Grell and MIT, which indicate that the model does not reproduce ITCZ characteristics over equatorial Atlantic. The simulations using MIT also indicated wet bias in the southwest/south/southeast of Pará and north of Tocantins. Moreover, through composites technique, it was also investigated RegCM3 response to reproduce the anomalous spatial rainfall patterns in association with ENSO episodes and interhemispheric SSTa gradient phases across the intertropical Atlantic. The results showed that the model represented realistically well the spatial pattern related to the rainfall anomalies above (below) than normal in most of eastern Amazonia, during the known favourable scenarios, i.e., La Niña and south Atlantic SSTa gradient (unfavourable, i.e., El Niño and north Atlantic SSTa gradient).
Acesso aberto (Open Access)
Radar-observed spatial and temporal rainfall variability near the Tapajós-Amazon confluence
(Universidade Federal do Pará, 2014-12) COHEN, Júlia Clarinda Paiva; FIZJARRALD, David Roy; D'OLIVEIRA, Flávio Augusto Farias; SARAIVA, Ivan; BARBOSA, Illelson Rafael da Silva; GANDU, Adilson Wagner; KUHN, Paulo Afonso Fischer
Standard Amazonian rainfall climatologies rely on stations preferentially located near river margins. River breeze circulations that tend to suppress afternoon rainfall near the river and enhance it inland are not typically considered when reporting results. Previous studies found surprising nocturnal rainfall maxima near the rivers in some locations. We examine spatial and temporal rainfall variability in the Santarém region of the Tapajós-Amazon confluence, seeking to describe the importance of breeze effects on afternoon precipitation and defining the areal extent of nocturnal rainfall maxima.We used three years of mean S band radar reflectivity from Santarém airport with a Z-R relationship appropriate for tropical convective conditions. These data were complemented by TRMM satellite rainfall estimates. Nocturnal rainfall was enhanced along the Amazon River, consistent with the hypothesis that these are associated with the passage of instability lines, perhaps enhanced by local channeling and by land breeze convergence. In the daytime, two rainfall bands appear in mean results, along the east bank of the Tapajós River and to the south of the Amazon River, respectively.
Acesso aberto (Open Access)
Weather forecasting for Eastern Amazon with OLAM model
(2014-12) SILVA, Renato Ramos da; GANDU, Adilson Wagner; COHEN, Júlia Clarinda Paiva; KUHN, Paulo Afonso Fischer; MOTA, Maria Aurora Santos da
The OLAM model has as its characteristics the advantage to represent simultaneously the global and regional meteorological phenomena using the application of a grid refinement scheme. During the REMAM project the model was applied for a few case studies to evaluate its performance on numerical weather prediction for the eastern Amazon region. Case studies were performed for the twelve months of the year of 2009. The model results for those numerical experiments were compared with the observed data for the region of study. Precipitation data analysis showed that OLAM is able to represent the average mean accumulated precipitation and the seasonal features of the events occurrence, but can't predict the local total amount of precipitation. However, individual evaluation for a few cases had shown that OLAM was able to represent the dynamics and forecast a few days in advance the development of coastal meteorological systems such as the squall lines that are one of the most important precipitating systems of the Amazon.