Precipitation anomalies in the Brazilian southern coast related to the SAM and ENSO climate variability modes

Schossler, Venisse; Simões, Jefferson Cárdia; Aquino, Francisco Eliseu; Viana, Denilson Ribeiro

doi:10.1590/2318-0331.231820170081

Cited by 13 publications

(10 citation statements)

References 25 publications

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“…precipitation anomalies (Schossler et al, 2018). Allied to this, discharge values below the average were registered during the La Nina period (Vaz, Moller, and Almeida, 2006).…”

Section: Methods Advantages Disadvantagesmentioning

confidence: 82%

“…Besides the predominant occurrence of shoreline stability during this period (77.8% of Arambare beach and 90.8% of Graxaim embayment), Arambare experienced significant shoreline retraction (21.4%) in the southern half of its coast (Figure 3c). This period was marked by a peak in precipitation anomalies, concomitant with a very strong El Nino phase from 1997 to 1998 (Schossler et al, 2018) and intense hydrodynamic conditions from an increased freshwater discharge at the top of the lagoon (Fernandes et al, 2002). Together with the occurrence of 20 registered cases of storm surges on the adjacent coast associated with extratropical cyclones, from 1997 to 1999, and winds from the SE, SW, and SSW directions and speeds of 16 to 24 m s-1 (Saraiva, Bedran, and Carneiro, 2003).…”

Section: Methods Advantages Disadvantagesmentioning

confidence: 99%

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Shoreline Evolution of Lagoon Sandy Spits and Adjacent Beaches, Lagoa dos Patos, Brazil

Miranda

Toldo

Klein

et al. 2019

Journal of Coastal Research

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The development of lagoon sandy spits is dependent on sediment supply (mainly through longshore transport) and is often related to erosion ofupdrift beaches under high-angle waves. This paper provides an understanding of the short-to medium-term shoreline evolution of three symmetrical lagoon sandy spits and the related erosion of the adjacent bay beaches of Lagoa dos Patos, Brazil. To do so, two of the most widely used methods to quantify shoreline changes were applied: the transects-from-baseline method and the change polygon method. A historical analysis of the shoreline movement of approximately three decades (1984-2013), was carried out, aiming to track the source of sediments to the spits. Alternate phases of shoreline stability, deposition, and recession (less frequent) in short time intervals (years) showed correlation with the El Nino-Southern Oscillation and Southern Annular Mode indexes. Shoreline stability along beaches in the medium term (60.4% of Arambare and 73.9% of Graxaim beaches, by the linear regression rate calculation), together with the very low average shoreline change rate of +o.7 m y-1 found using both methods, demonstrates that the sediment supply to the spits has been significantly reduced in the past three decades. Furthermore, the large-scale subaqueous portions of the spits are under wave-induced sedimentary reworking accompanied by the up-building of sandbanks from the submerged bars, followed by its landward migration and merging to the spit's shoreline. These results suggest that the spits of Lagoa dos Patos have their growth limited once the amount of sediment supply has been significantly reduced.

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“…precipitation anomalies (Schossler et al, 2018). Allied to this, discharge values below the average were registered during the La Nina period (Vaz, Moller, and Almeida, 2006).…”

Section: Methods Advantages Disadvantagesmentioning

confidence: 82%

Section: Methods Advantages Disadvantagesmentioning

confidence: 99%

Shoreline Evolution of Lagoon Sandy Spits and Adjacent Beaches, Lagoa dos Patos, Brazil

Miranda

Toldo

Klein

et al. 2019

Journal of Coastal Research

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“…Results obtained by Moraes et al (2004) show that the displacement of convective cells follows two main paths: Southwest -Northeast (FS and local systems) and North -South (convective cells originated from Serrana region moving in situations of dominant circulations of North-South) and corroborate the results obtained in this study. The highest accumulated rainfall was found, regardless of the year, particularly associated with ENSO episodes and its impact on synoptic and local systems (Oliveira-Júnior et al, 2018;Schossler et al, 2018).…”

Section: Resultsmentioning

confidence: 97%

Meteorological Systems Influences Rainfall in Seropédica.

Júnior¹,

Caúla

Góis

et al. 2020

Rev. Bras. Geog. Fis.

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from Seropédica were related to synoptic systems and El Niño Southern Oscillation episodes (ENSO). Evaluation was divided into average, monthly, seasonal and annual. Synoptic data are from Climanálise from 1996 to 2012. Descriptive statistics and non-parametric tests (Mann-Kendall (MK), Pettitt and Sen Method (Se)) were applied to time series from Climanálise. The identified average characteristics showed high interannual and intraseasonal variability of synoptic systems, followed by the interaction between local and mesoscale systems in the rainfall regime. Seasonally, spring (38.06%) and summer (30.35%) were higher than autumn (20.91%) and winter (10.68%). The highest average accumulated monthly was observed in the joint occurrence of SACZ/ MCZ and FS from November to January period, followed by the influence of ENSO episodes in Seropédica. FS occurrences decreased in 2005, while in 2003 there was an increased SACZ/MCZ. MK test results considering α = 5% showed that there is Significant Increasing Trend (SIT) in SACZ/MCZ (Z > 2.25) and Significant Decreasing Trend (SDT) of FS (Z < 3.68) in Rio de Janeiro. Statistical identified trends and critical periods of synoptic systems.

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“…Parte da ocorrência dos eventos extremos da precipitação estão associados aos fatores remotos que controlam a variabilidade interdecenal e decenal na região subtropical da América do Sul. Como por exemplo, os anos de 1982/1983 e 1997/1998 em que os eventos de El Niño foram considerados fortes segundo Schossler et al (2018) e foi registrado precipitações superiores a 400 mm.…”

Section: Resultados E Discussõesunclassified

Precipitação em Rio Grande – RS (1913 – 2016): Análise descritiva e da variabilidade

Silva

Reis

Klering

et al. 2021

Rev. Bras. Geog. Fis.

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O objetivo desse artigo é analisar a variabilidade temporal da precipitação em Rio Grande – RS, no período entre 1913 e 2016. Para isso foram utilizadas técnicas estatísticas descritivas e inferencial para caracterizar a distribuição da precipitação em diferentes escalas de tempo e para identificar os ciclos temporais da ocorrência de secas e chuvas acima da média e suas relações com os fenômenos remotos. As análises mostram que a precipitação mensal em Rio Grande varia entre 0,3mm e 551,8mm, com uma média de 102,1 mm e desvio padrão de 66,1 mm; o total anual da precipitação variou entre 625 mm e 2.261,9 mm, com uma média de 1.226 mm; a média mensal tem uma amplitude de 71,2 mm e 126,7 mm, sendo as médias de dezembro e setembro, respectivamente; e são os meses do verão e o outono que apresentaram maior e menor variabilidade da precipitação. Os ciclos temporais da ocorrência de secas e chuvas acima da média ocorreram predominantemente na escala interanual e está associado predominantemente aos fenômenos ENOS e ODP, sendo mais comum a ocorrência de chuvas acima da média/secas concomitantes ao El Niño/La Niña. Não sendo raro a ocorrência de secas e chuvas acima da média, visto que foram identificados 219 meses de seca e 210 meses de chuvas excessivas no período entre 1913 e 2016, adotando um limiar de |56,4 mm| da anomalia da precipitação.Palavras-chave: Precipitação, variabilidade, wavelet, Rio Grande. Precipitation in the city of Rio Grande – RS (1913 – 2016): Descriptive and variability analysis A B S T R A C T The aim was to analyze the temporal variability of rainfall in Rio Grande - RS, during the years 1913-2016, in order to understand the temporal distribution, using descriptive statistical techniques to characterize the monthly and annual total, the monthly averages, the anomalies, the occurrence of extreme events and inferential techniques in order to characterize the main remote factors controlling precipitation variability. The results of these descriptive analyzes show that the monthly rainfall in Rio Grande varies between 0.3mm and 551.8mm with an average of 102.1mm and standard deviation of 66.1mm; the total annual precipitation indicated a variation between 625 mm (minimum) and 2,261.9 mm (maximum), with an average annual accumulation of 1,226 mm; the monthly average varies between 71.2 mm and 126.7 mm, referring to the months of December and September, respectively; estimation of standard deviation showed summer and autumn as the months with the highest and lowest variations, respectively. Temporal variability occurred at the interannual and interdecenal scales and are predominantly associated with the ENSO/ODP phenomenon, with more than average rainfall occurrin /droughts concomitant with El Niño/La Niña. Anomalies above | 56.4 mm | were considered extreme precipitation events and was identified with the technique of quartiles, 219 months of drought and 210 months of excessive rainfall in the period between 1913 and 2016.Keywords: Precipitation, variability, wavelet, Rio Grande.

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Precipitation anomalies in the Brazilian southern coast related to the SAM and ENSO climate variability modes

Cited by 13 publications

References 25 publications

Shoreline Evolution of Lagoon Sandy Spits and Adjacent Beaches, Lagoa dos Patos, Brazil

Shoreline Evolution of Lagoon Sandy Spits and Adjacent Beaches, Lagoa dos Patos, Brazil

Meteorological Systems Influences Rainfall in Seropédica.

Precipitação em Rio Grande – RS (1913 – 2016): Análise descritiva e da variabilidade

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