Relação entre a precipitação do leste do Nordeste do Brasil e a temperatura dos oceanos

Moura, Geber Barbosa de Albuquerque; Aragão, José Oribe Rocha de; Melo, José S. P. de; Silva, Ana P. N. da; Giongo, Pedro Rogério; Lacerda, Francinete Francis

doi:10.1590/s1415-43662009000400014

Cited by 30 publications

(35 citation statements)

References 17 publications

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“…In addition, cold fronts that propagate along the coast probably take part in the higher levels of rainfall in G 5 's region (Kousky, 1979). Rainfall in this region of the state is also most likely influenced by the EWD and seasonal change in the position of the SASA, which modulates the intensity and direction of winds along the coast during autumn and winter (Moura and Shukla, 1981;Rao et al, 1993;Nobre and Shukla, 1996;Moura et al, 2009). Another likely influence to the rainfall in the coastal region and in the hinterland is the warm and unstable maritime tropical air mass (mTw), which is found in the Tropical Atlantic Ocean from latitudes 10 • N to 25 • S. This air mass, together with trade winds, creates a two-layer wind regime in the northeast coast of Brazil (Tenório, 1989).…”

Section: Grouping Of Rainfall In Spacementioning

confidence: 99%

“…East coast and interior of NEB (Kousky, 1979;Rao et al, 1993) Intertropical Convergence Zone (ITCZ) + Instability Lines (IL) May to July (Rainy season) East coast and interior of NEB (Hastenrath and Lamb, 1977;Moura and Shukla, 1981;Moura et al, 2009) South Atlantic Sub-tropical Anticyclone (SASA) April to July (Rainy season)…”

Section: Weather Systems Period Region Of Influence Referencesmentioning

confidence: 99%

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Cluster analysis applied to the spatial and temporal variability of monthly rainfall in Alagoas state, Northeast of Brazil

Lyra

Júnior

Zeri

2014

Intl Journal of Climatology

135

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Rainfall over the northeast part of Brazil is highly influenced by several weather systems such as trade winds, the Intertropical Convergence Zone, Easterly Wave Disturbances, Bolivia High and Atlantic Sub-tropical Anticyclone. The objectives of this work were to identify, using cluster analysis, spatial and temporal rainfall patterns for the northeastern Brazilian state of Alagoas, and to relate those patterns with the weather systems that occur over that region, which is the most populated area of semiarid climate in the world. The dataset consists of 30-years long time series of rainfall from 36 stations located on the state. Hierarchical clustering using Ward's algorithm was used to classify the sites into five groups. The stations were grouped according to the distance to the coast and orography. Rainfall is not uniformly distributed in space and time in all regions, such as in two groups within the arid zone, where more than 60% of annual precipitation occurs in a period of 5 months (March to July). Rainfall was highest in the coastal regions and over areas of the state with high altitude, due to orographic rainfall. Overall, rainfall over the state of Alagoas is characterized by strong gradients from the coast to the continent and from north to south due to the physiography of the region and the influence of weather systems with different time scales.

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Section: Grouping Of Rainfall In Spacementioning

confidence: 99%

Section: Weather Systems Period Region Of Influence Referencesmentioning

confidence: 99%

Cluster analysis applied to the spatial and temporal variability of monthly rainfall in Alagoas state, Northeast of Brazil

Lyra

Júnior

Zeri

2014

Intl Journal of Climatology

135

View full text Add to dashboard Cite

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“…Analyses indicated that the inter-annual climate variations in the NEB are far more related with the SST variability in the South Atlantic than with the tropical Pacific. Moura et al (2009) correlated the precipitation (March-June) over the eastern sector of the NEB with ocean SST anomalies. The analyses showed the influence of the Atlantic and the Pacific on rainfalls over the eastern sector.…”

Section: Resultsmentioning

confidence: 99%

“…Moura et al (2009) noticed that, when the ITCZ takes place in the northern hemisphere, it exhibits an SST much warmer than usual. This favors the occurrence of drought in the NEB.…”

Section: Introductionmentioning

confidence: 99%

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Influence of oceanic-atmospheric interactions on extreme events of daily rainfall in the Sub-basin 39 located in Northeastern Brazil

Salgueiro¹,

Montenegro

Pinto

et al. 2016

RBRH

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Changes in extreme precipitation have been observed in regions where frequent rainfalls occur over short periods of time followed by prolonged droughts, creating, as a result, new watershed scenarios. Recent studies have attributed such occurrences to possible climate changes. This paper analyzes the correlation between extreme events recorded in the Sub-basin 39, located in Northeastern Brazil, and the anomalies caused by sea surface temperature -SST and the atmospheric systems operating in the region. Pearson correlation coefficients have been used combined with the variables analyzed. For such, trends in precipitation have been obtained by using the method of least squares together with linear regression and the Student's t test. The results obtained have demonstrated that due to the geographical position of the region investigated, both maximum extreme events (areas with positive trends) and minimum extreme events (areas with negative trends) are more dependent on the Dipole Atlantic than on the effects of El Niño Southern Oscillation -ENOS.Keywords: Climate change; Maximum precipitation; Minimum precipitation; Influence on TSM. RESUMOAs alterações nos extremos pluviométricos estão sendo observadas em várias localidades, com uma frequência maior de chuvas intensas concentradas em poucos dias e estiagens mais prolongadas, passando a caracterizar novos cenários nas bacias hidrográficas. Estudos específicos vêm atribuindo tais ocorrências às possíveis modificações climáticas. Este artigo analisou a relação existente entre os eventos extremos registrados na Sub-bacia 39, localizada no Nordeste do Brasil, com as anomalias das Temperaturas da Superfície do Mar (TSM) e os sistemas atmosféricos atuantes na região, utilizando os coeficientes de correlação de Pearson entre as variáveis analisadas. Para isso, as tendências da precipitação foram obtidas utilizando o Método dos Mínimos Quadrados, associado à regressão linear e o teste t de Student. Os resultados evidenciaram que devido à posição geográfica da região estudada, tanto os eventos extremos máximos (áreas com tendências positivas) como os eventos extremos mínimos (áreas com tendências negativas) são bem mais dependentes do Dipolo do Atlântico do que das influências do El Niño/Oscilação Sul -ENOS.Palavras-chave: Mudanças climáticas; Precipitações máximas; Precipitações mínimas; Influência de TSM.

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Spatial distribution of the level of return of extreme precipitation events in Northeast Brazil

Rodrigues

Gonçalves

Spyrides

et al. 2020

Intl Journal of Climatology

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This study aimed to estimate levels of return of extreme daily precipitation events, associating them with natural disasters in Northeast Brazil (NEB), a region characterized by different climatic conditions and low rates of social and economic development. For this, generalized Pareto distribution (GPD) models were adjusted to the daily extreme precipitation data estimated by the Tropical Rainfall Measuring Mission (TRMM) 3B42 product of the multisatellite precipitation analysis for a period of 16 years (2000-2015). In addition, the estimates of the GPD model were compared using two data sources, TRMM and pluviometer. The investigation showed that the results of the GPD model estimated by means of the extreme data from the rain gauge and the TRMM were statistically the same, with 95% confidence. Thus, using the data referring to the 2,082 grid points of the TRMM, it was possible to map the spatial distribution of the estimates of the levels of return of extreme precipitation to the return periods of 2, 5 and 10 years, per seasonal period. In general, the results indicated that the intensity of expected extreme precipitation depends on the seasonal period and the place of occurrence of precipitation. The eastern NEB stood out as the region where the highest intensities of extreme precipitation are expected. Extreme precipitation values of up to 178 mm are expected in 2 years. The areas where natural disasters occurred in the years 2016, 2017 and 2018 are similar to those in which the highest rainfall intensities are expected. The results of this study can allow the evaluation of the spatial distribution of risks related to extreme precipitation events, and therefore, support the planning of regional public policies and environmental management for the prevention of natural disasters in NEB. K E Y W O R D S diaries precipitation, generalized Pareto distribution, natural disaster, TRMM 1 | INTRODUCTION Extreme weather events are one of the main topics studied related to climate change. Future projections released by the Intergovernmental Panel on Climate Change (IPCC) show that these events will become increasingly frequent and intense in several regions of the world, including in areas of Northeast Brazil (NEB; Du et al., 2019). Extreme weather events can cause waves of heat and cold, floods, landslides, droughts and more.

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Relação entre a precipitação do leste do Nordeste do Brasil e a temperatura dos oceanos

Cited by 30 publications

References 17 publications

Cluster analysis applied to the spatial and temporal variability of monthly rainfall in Alagoas state, Northeast of Brazil

Cluster analysis applied to the spatial and temporal variability of monthly rainfall in Alagoas state, Northeast of Brazil

Influence of oceanic-atmospheric interactions on extreme events of daily rainfall in the Sub-basin 39 located in Northeastern Brazil

Spatial distribution of the level of return of extreme precipitation events in Northeast Brazil

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