Condições Atmosféricas Associadas a Eventos de Ressaca no Litoral Sul e do Sudeste do Brasil durante o El Niño 2015/2016

Machado, Jéferson Prietsch; Miranda, Gustavo Santos Barbosa; Gozzo, Luiz Felippe; Custódio, Maria de Souza

doi:10.1590/0102-7786344067

Cited by 9 publications

(12 citation statements)

References 16 publications

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“…The period of minimum wind speed occurs between March and May (autumn), with wind speed classes varies between 1.4–1.9 and 1.0–1.4 m·s −1 . This period of minima is directly associated with SASA, especially over coastal regions (Oliveira and Silva Quaresma, 2018; Machado et al ., 2019; Pantoja et al ., 2019).…”

Section: Resultsmentioning

confidence: 99%

“…Frontal systems (FS) also contribute to the occurrence of rainfall extremes and changes in the wind regime over SEB (de Morais et al ., 2010; Reboita et al ., 2010; Grimm, 2011; Andrade and Cavalcanti, 2018; Oliveira and Silva Quaresma, 2018; Sobral et al ., 2018b; Correia Filho et al ., 2021). In addition to the influence of SACZ and FS, the region's wind regime is strongly affected by the South Atlantic Subtropical Anticyclone (SASA) and by Atmospheric Blocking (AB) (Reboita et al ., 2010; Grimm, 2011; Gilliland and Keim, 2018b; Machado et al ., 2019).…”

Section: Introductionmentioning

confidence: 99%

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The wind regime over the Brazilian Southeast: Spatial and temporal characterization using multivariate analysis

Filho

Souza

Júnior

et al. 2021

Intl Journal of Climatology

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The characterization of spatial and temporal patterns of wind is essential to several sectors, including energy, urban climate, and applied meteorology. However, few studies describe the regional characteristics of the wind regime over the Brazilian Southeast (SEB), the most developed and populated part of the country. The objectives of the current work were (a) to assess the spatial patterns of the wind regime using cluster analysis (CA) and (b) to apply principal components analysis (PCA) to investigate which meteorological systems influence the spatial and temporal patterns of the wind regime. The dataset consisted of wind speed and direction from 70 automatic weather stations with records from 2008 to 2019. According to the CA method, four groups of homogeneous wind speed (G1–G4) were identified; G4 presented the highest magnitudes of wind speed (wind speed >5 m·s−1, with maxima of 7.2 m·s−1). Seasonal well‐defined minima (March–June) and maxima (July–October) were observed only for G2 and G3. The systems South Atlantic Subtropical Anticyclone (SASA), Frontal Systems (FS), and the South Atlantic Convergence Zone (SACZ) influenced these groups. In addition, the mesoscale meteorological systems likely influence other groups such as breezes from land/sea (G1, G3, and G4), lakes (G2 and G3), and valley/mountain (G2 and G3). The topography had a strong influence on G3, mainly due to the mountain ranges of Mantiqueira and Serra do Mar and Paraíba River valley. Dominant wind directions were E, N/NE, and NW, associated with SASA, in addition to S and SE/SW, influenced by FS and SACZ. The wind speed range of 1.4–3.9 m·s−1 was dominant in all groups, except for G4 (range of 2.4–5.5 m·s−1). According to PCA analysis, two PCs are enough to explain the wind pattern in the SEB with 69.9% of the total variance explained. The surface roughness accounted for 29% of the total variance explained in PC1. The latitude (37.6%) and distance to the coast (30.8%) are the most important variables for PC2. Region's physiography and meteorological systems strongly influenced the wind regime over the Brazilian Southeast. The assessment of wind regime variability presented in this work is expected to support public policies on renewable energy applications, air pollution, and climate change mitigation.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The wind regime over the Brazilian Southeast: Spatial and temporal characterization using multivariate analysis

Filho

Souza

Júnior

et al. 2021

Intl Journal of Climatology

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“…LOSADA et al (2013) examined changes in sea level along with variations in tidal levels, storm surges and extreme events for different historical series and concluded that sea level is rising, storm surges are increasing, especially in the South, and El Niño events positively affect the sea level. The influence of El Niño in storm surges in more southern locations of the country was also pointed out by MACHADO et al (2019).…”

Section: Trends Of Slr In Brazilian Coastal Cities: An Overviewmentioning

confidence: 93%

Risk management and vulnerability to sea level rise in Brazil, with emphasis to the legacy of the Metropole Project in Santos

Marengo¹,

Nunes²,

Souza³

et al. 2022

Derb.

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Sea Level Rise (SLR) poses a range of threats to natural environments and built infrastructure in coastal zones around the world. Coastal cities in Brazil are vulnerable to the effects of SLR and to the intensity of storms that induce more storm surges and coastal inundation. Studies on vulnerability of coastal cities in Brazil have been developed by multidisciplinary and multinational collaboration between teams of natural and social scientists. Perhaps the best example is the METROPOLE Project (An Integrated Framework to Analyze Local Decision Making and Adaptive Capacity to Large-Scale Environmental Change), a partnership between Brazil, United States and United Kingdom developed to evaluate how local government, stakeholders and citizens may decide about adaptation options related to SLR and extreme events projections. In this paper we show how some results of the METROPOLE project have been considered in the definition of public polices of climate change adaptation and for practical actions to increase resilience of Santos by reducing beach erosion, to reduce climate risk.

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“…Some populations of this species are known to tolerate fluctuations in the physical and chemical parameters of the water, maintaining stable populations between seasons (Freret‐Meurer, 2010), although the impact of El Niño events on these populations is still unclear. The 2015/2016 El Niño event was classified by the Golden Gate Weather Service as a strong anomaly, raising the ocean water surface by 2°C, and also causing atmospheric instability (Kayano et al ., 2019), intensifying extratropical storms and hangovers (Machado et al ., 2019).…”

Section: Introductionmentioning

confidence: 99%

Influence of the Atlantic Ocean thermal anomaly on the Longsnout seahorse Hippocampus reidi in a Brazilian estuary

Freret-Meurer

Fernández

Vaccani

2022

Journal of Fish Biology

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One of the consequences of climate change is an increase in the temperature of the oceans, which is considered to be one of the greatest impacts on biodiversity. Fish may respond to this impact in several ways, including shifts in their patterns of occurrence. The present study investigated the variation in the structure of a H. reidi population between 2015 and 2017 in the northern Guaíba Island area, highlighting a possible relationship to thermal anomaly associated with the El Niño phenomenon. The seahorse population monitoring was performed monthly, recording sex ratio, abundance, juvenile and adult proportion, depth of occurrence, total length and the holdfast which the seahorse were found attached. The influence of the El Niño event on the study population was evaluated by the correlation of the thermal anomaly data reported for the Tropical South Atlantic Index. Seahorse density on northern Guaíba island was positively and significantly correlated with water temperature, but the sex ratio and number of juveniles were not. The diversity of holdfasts used increased over the study period and was inversely proportional to the thermal anomaly. These results suggest that the thermal anomalies caused by the El Niño in the South Atlantic might trigger migration behaviour in the study species, providing a large aggregation during that period in Guaíba island.

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Condições Atmosféricas Associadas a Eventos de Ressaca no Litoral Sul e do Sudeste do Brasil durante o El Niño 2015/2016

Cited by 9 publications

References 16 publications

The wind regime over the Brazilian Southeast: Spatial and temporal characterization using multivariate analysis

The wind regime over the Brazilian Southeast: Spatial and temporal characterization using multivariate analysis

Risk management and vulnerability to sea level rise in Brazil, with emphasis to the legacy of the Metropole Project in Santos

Influence of the Atlantic Ocean thermal anomaly on the Longsnout seahorse Hippocampus reidi in a Brazilian estuary

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