Changes in precipitation extremes in Brazil (Paraná River Basin)

Zandonadi, Leandro; Acquaotta, Fiorella; Fratianni, Simona; Zavattini, João Afonso

doi:10.1007/s00704-015-1391-4

Cited by 95 publications

(81 citation statements)

References 46 publications

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“…The greatest difference in rainfall between the Litorânea basin and the other basins selected in this study occurs in the summer, between December and February, when the oceanic influence is intensified by warming of the surface water, and rainfall on the continent is reduced by the orography of the Serra do Mar. Conversely, during the winter months, mainly between June and August, the more frequent passage of the Atlantic polar system provides wider rain systems, which are due to its direction and dimensions, as indicated by Borsato and Mendonça [32], Cardozo et al [33] and Zandonadi et al [34].…”

Section: Resultsmentioning

confidence: 97%

Identification of Homogeneous Rainfall Regions in the Eastern Watersheds of the State of Paraná, Brazil

Terassi

Galvani

2017

Climate

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Abstract:The objectives of this study are to use a clustering technique to identify homogeneous rainfall regions in the watersheds of the eastern region of the state of Paraná and to associate the spatial and temporal distribution of rainfall with the influences of orography, the ocean and regional atmospheric dynamics. Rainfall data were obtained from 54 pluviometric stations and from eight meteorological stations, which comprise the historical series from 1976 to 2015. A cluster analysis technique was used with the Euclidean distance for measuring proximity and Ward's method for hierarchical grouping. The Litorânea watershed exhibited the highest rainfall totals in the study area, and the annual average was 2551 mm for the homogeneous group with the highest rainfall. The Ribeira river watershed exhibited the lowest total rainfall (1488 mm); therefore, it was considered a rain shadow region with a more tropical climate due to the concentration of rainfall in the period from September to March. The Alto Iguaçu watershed was characterized by the smallest spatiotemporal variation in rainfall due to its flatter relief and the influence of the subtropical climate.

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Section: Resultsmentioning

confidence: 97%

Identification of Homogeneous Rainfall Regions in the Eastern Watersheds of the State of Paraná, Brazil

Terassi

Galvani

2017

Climate

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“…It was important to detect the outliers in the observations because the incorrect values due to erroneous transcriptions of the daily data could be identified by the relationship between the outliers and the maximum values of the daily precipitation in the observations [31,34]. Then, to control the quality of the data strictly, we removed the stations missing observations for more than 10 consecutive days in the rainy season (i.e., April to September) [35,36].…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal Variability in Extreme Precipitation in China from Observations and Projections

Peng

Zhao

et al. 2018

Water

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Extreme precipitation events, which have intensified with global warming over the past several decades, will become more intense in the future according to model projections. Although many studies have been performed, the occurrence patterns for extreme precipitation events in past and future periods in China remain unresolved. Additionally, few studies have explained how extreme precipitation events developed over the past 58 years and how they will evolve in the next 90 years as global warming becomes much more serious. In this paper, we evaluated the spatiotemporal characteristics of extreme precipitation events using indices for the frequency, quantity, intensity, and proportion of extreme precipitation, which were proposed by the World Meteorological Organization. We simultaneously analyzed the spatiotemporal characteristics of extreme precipitation in China from 2011 to 2100 using data obtained from the Coupled Model Intercomparison Project Phase 5 (CMIP5) models. Despite the fixed threshold, 95th percentile precipitation values were also used as the extreme precipitation threshold to reduce the influence of various rainfall events caused by different geographic locations; then, eight extreme precipitation indices (EPIs) were calculated to evaluate extreme precipitation in China. We found that the spatial characteristics of the eight EPIs exhibited downward trends from south to north. In the periods 1960-2017 and 2011-2100, trends in the EPIs were positive, but there were differences between different regions. In the past 58 years, the extreme precipitation increased in the northwest, southeast, and the Tibet Plateau of China, while decreased in northern China. Almost all the trends of EPIs are positive in the next two periods (2011-2055 and 2056-2100) except for some EPIs, such as intensity of extreme precipitation, which decrease in southeastern China in the second period . This study suggests that the frequency of extreme precipitation events in China will progressively increase, which implies that a substantial burden will be placed on social economies and terrestrial ecological processes.

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“…A redução do volume pluviométrico e do NDC no período de outono e inverno é atribuída à menor participação dos sistemas atmosféricos intertropicais e a participação majoritária dos sistemas atmosféricos frontais na formação de eventos pluviométricos (BALDO, 2006;SILVA et al, 2006;ZANDONADI, 2013;ZANDONADI et al, 2015). A figura 9 representa a variação espacial do índice de erosividade para a escala sazonal.…”

Section: Variabilidade Pluviométrica E a Erosividade Das Chuvas Na Ununclassified

Variabilidade Pluviométrica E a Erosividade Das Chuvas Na Unidade Hidrográfica Pirapó, Paranapanema Iii E Iv - Paraná - Rainfall Variability and Rainfall Erosivity in Pirapó, Paranapanema Iii and Iv Hydrographic Unit - Paraná

2017

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RESUMOOs estudos acerca do comportamento espaço-temporal da chuva fornecem subsídios para o planejamento de diversos setores, enquanto o conhecimento da erosividade das chuvas permite a identificação de áreas e períodos em que as práticas de conservação do solo são prioritárias. Baseado nisto, o presente trabalho objetiva avaliar a variabilidade pluviométrica e a erosividade na unidade hidrográfica Pirapó, Paranapanema III e IV, que está situada no Terceiro Planalto Paranaense, entre os paralelos de 22º30'S e 23º30'S e os meridianos de 51º00'W e 53º00'W. Os dados pluviométricos foram obtidos de trinta e cinco postos pluviométricos do Instituto das Águas do Paraná e de cinco estações meteorológicas do Instituto Agronômico do Paraná (IAPAR), Instituto Nacional de Meteorologia (INMET) e Sistema Meteorológico do Paraná (SIMEPAR), no período de 1976 a 2012, para as escalas anual e sazonal. Foi utilizada a metodologia de Rufino, Biscaia e Merten (1993) para a determinação do índice de erosividade da chuva. Verificou-se que o setor mais elevado da unidade hidrográfica apresentou as maiores alturas pluviométricas, os maiores números de dias de chuva e o maior potencial erosivo. Inversamente, os setores de menores cotas altimétricas obtiveram os menores resultados pluviométricos, número de dias de chuva e erosividade. Notou-se que os resultados para a escala sazonal estiveram alinhados aos já obtidos e ao comportamento habitual da dinâmica atmosférica regional. PALAVRAS-CHAVE:Chuva, Potencial erosivo, Bacia hidrográfica, Gestão de recursos hídricos. ABSTRACTResearch concerning rainfall spatio-temporal behavior provides help to the planning of many sectors, while the knowledge of rainfall erosivity allows identifying areas and periods in which soil conservation measures are a priority. Based on this, this paper aims to evaluate the rainfall variability and the erosivity in Pirapó, Paranapanema III and IV hydrographic unit, which is located at the so-called Third Plateau of Paraná, between the 22º30'S and 23º30'S parallels and the 51º00'W and 53º00'W meridians. The rainfall data were obtained from thirty five rain gauges at Paraná Water Institute and from five weather stations at Paraná Agronomy Institute (IAPAR), National Weather Institute (INMET) and Paraná Meteorological System (SIMEPAR), in the period of 1976 to 2012, to the annual and seasonal time scales. The methodology by Rufino, Biscaia and Merten (1993) was applied to determine the rainfall erosivity index. It was possible to verify that the most elevated sector of the hydrographic unit showed the greatest heights of rainfall, the biggest amount of rainy days and the greatest erosion potential. On the other hand, the sectors with the lowest altimetric quotas had the lowest results regarding rainfall, amount of rainy days and erosity. It was noticed that the results to the seasonal time scales were aligned to that had been verified and to the usual behavior of the regional atmospheric dynamics.

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Changes in precipitation extremes in Brazil (Paraná River Basin)

Cited by 95 publications

References 46 publications

Identification of Homogeneous Rainfall Regions in the Eastern Watersheds of the State of Paraná, Brazil

Identification of Homogeneous Rainfall Regions in the Eastern Watersheds of the State of Paraná, Brazil

Spatiotemporal Variability in Extreme Precipitation in China from Observations and Projections

Variabilidade Pluviométrica E a Erosividade Das Chuvas Na Unidade Hidrográfica Pirapó, Paranapanema Iii E Iv - Paraná - Rainfall Variability and Rainfall Erosivity in Pirapó, Paranapanema Iii and Iv Hydrographic Unit - Paraná

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