Homogeneity assessment of a station climate series (1933–2005) in the Metropolitan Area of São Paulo: instruments change and urbanization effects

Sugahara, Shigetoshi; Rocha, Rosmeri Porfírio da; Ynoue, Rita Yuri; Silveira, Reinaldo

doi:10.1007/s00704-011-0485-x

Cited by 31 publications

(32 citation statements)

References 31 publications

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“…Por exemplo, a ocorrência de um total de precipitação de 1000 mm ao longo de 24 horas. Sugahara et al (2011) …”

Section: Controle De Qualidade Dos Dados De Precipitaçãounclassified

Estudo Da Precipitação No Estado De Minas Gerais-Mg

Silva¹

2014

ABClima

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RESUMO:Com o objetivo de realizar uma caracterização da precipitação no Estado de Minas Gerais (MG), foram utilizados dados diários de precipitação, entre 1990 a 2009, de 335 postos pluviométricos (PP) do sítio da Agência Nacional de Águas (ANA). Determinaram-se (a) as médias mensais, sazonais e anual da precipitação, (b) a possível influência do fenômeno El Niño-Oscilação Sul (ENOS) na precipitação sazonal e (c) a identificação do início e fim da estação chuvosa em MG. Entre os resultados tem-se que os maiores totais de precipitação ocorrem no verão e os menores no inverno e que o setor sul do Estado é o mais úmido. A fase positiva do ENOS (El Niño) não possui influência significativa na precipitação em MG, enquanto que a fase negativa (La Niña) tende a reduzir a precipitação no verão em grande parte do Estado. Em geral, a estação chuvosa em MG inicia entre os dias 13 a 17 de outubro e termina entre os dias 22 a 26 de março. Palavras-Chave: precipitação, estação chuvosa, Estado de Minas Gerais PRECIPITATION ESTUDY FOR MINAS GERAIS STATE, BRAZIL ABSTRACT:In order to perform a characterization of the precipitation in Minas Gerais (MG) State, we used daily rainfall data, from 1990 to 2009, of 335 rain gauges (RG) of the "Agência Nacional de Águas" (ANA). We determined (a) the monthly, seasonal and annual rainfall average, (b) the possible influence of El Niño-Southern Oscillation (ENSO) in seasonal precipitation and (c) the identification of the onset and demise of the rainy season in MG. Among the results, it was verified that the largest total rainfall occurs in summer and the lowest in winter and the southern sector of the state is more humid. The positive phase of ENSO (El Niño) has no significant influence on rainfall in MG, while the negative phase (La Niña) tends to reduce rainfall in summer. In general, in MG the rainy season starts between 13 to October 17 and ends between 22 to March 26. Keywords: precipitation, rainy season, Minas Gerais State INTRODUÇÃOA precipitação é uma das variáveis atmosféricas mais estudadas, pois o conhecimento da sua variabilidade espacial e temporal permite o planejamento das atividades humanas. São vários os setores que dependem diretamente do conhecimento do regime pluviométrico, por exemplo, a agricultura, o setor energético, entre outros. Um problema devido ao déficit de precipitação no Brasil que vale a pena ser mencionado foi o ocorrido no ano de 2001: a escassez de chuvas aliada à mudança estrutural do setor energético com o processo de privatização culminou na ocorrência do chamado apagão, gerando racionamento de energia em todo o país (GOMES, 2007

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“…Por exemplo, a ocorrência de um total de precipitação de 1000 mm ao longo de 24 horas. Sugahara et al (2011) …”

Section: Controle De Qualidade Dos Dados De Precipitaçãounclassified

Estudo Da Precipitação No Estado De Minas Gerais-Mg

Silva¹

2014

ABClima

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“…Sugahara et al . () pointed out that this instrumentation change affected the temperature and precipitation time series.…”

Section: Methodsmentioning

confidence: 97%

“…The sea breeze frontal passage was analysed using wind direction data from the Meteorological Station of the Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG) of the USP, located in the city of São Paulo, Brazil (Figure ). The station has been keeping records continuously since 1933 and many authors (Pereira Filho et al ., ; Sugahara et al ., ; Silva Dias et al ., ) have extensively used its data. However, it is important to notice that a change of instrumentation in the IAG Meteorological Station (MS/IAG) occurred in 1958 (documented by Pereira Filho et al ., ).…”

Section: Methodsmentioning

confidence: 99%

Long‐term study of the occurrence and time of passage of sea breeze in São Paulo, 1960–2009

Perez

Dias

2017

Intl Journal of Climatology

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This paper presents a simple methodology to identify sea breeze frontal passage in the city of São Paulo, Brazil, based in hourly wind direction data. Fifty‐year time series of annual frequency of sea breeze frontal passage and of its time of arrival in São Paulo are generated and related to global climate indicators and local variables. The frequency of occurrence and time of arrival of sea breeze shows long‐term oscillations in the interannual and decadal time scales. Multiple regression is used to identify the variables that explain the observed variance of both frequency of occurrence and timing of the sea breeze in São Paulo. Local variables such as air temperature in São Paulo and sea surface temperature (SST) in the vicinity of the coast explain more than 95% of the total R2 (R2 = 51%) in a multiple regression model of the frequency of sea breeze frontal passage. Global climate indices such as the Atlantic Multidecadal Oscillation, the Southern Oscillation Index (SOI) and the Pacific Decadal Oscillation explain about 85% of the total R2 (R2 = 52%) in a multiple regression model of the time of arrival of the sea breeze in São Paulo. The sea breeze circulation is shown to impact the rainfall in São Paulo and vicinity and to be associated with extreme rainfall events.

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“…His results show that Caussinus–Mestre (CauME) method and MASH are the most powerful techniques in identifying and correcting inhomogeneties in meteorological series. Sugahara et al () evaluate the effect of the replacement of instruments and of urbanization on meteorological data. They use the F ‐test for structural breaks (multiple breaks linear regression model), SNHT and Bayesian technique.…”

Section: Introductionmentioning

confidence: 99%

“…A Bayesian test to find inhomogeneities can be seen in the studies of Ducre‐Robitaille et al () and Sugahara et al (). The F ‐test for structural breaks (Sugahara et al , ), ADF unit root test and KPSS stationarity test are not commonly used in homogeneity detection analysis.…”

Section: Introductionmentioning

confidence: 99%

Comparison of homogeneity tests for temperature using a simulation study

Yozgatlıgil

Yazıcı

2015

Int. J. Climatol.

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Homogeneity testing is one of the most important analyses in climate‐related studies as it underpins the reliability of any inferences. The effects not directly related with climate are identified and removed from the meteorological variables, and then the obtained homogeneous variables are used to present an enhanced picture of the current situation and produce realistic forecasts based upon the variables. In this study, we investigate the performances of well‐known homogeneity tests and introduce some tests that are not usually used for testing homogeneity via Monte Carlo simulation. We generate data using a normally distributed temperature variable. We consider both absolute and relative homogeneity tests (RHTest). Although relative tests are the best performing homogeneity tests, their results highly depend on the quality of the reference series. Consequently, they have to be used with at least one of the absolute tests in order to detect possible inhomogeneities in the reference series. Our results show that the relative tests which are standard normal homogeneity test, F‐test for structural breaks with reference series, multiple change point detection method, namely and the RHTest have the best detection rates whereas the absolute tests, namely, Kruskal–Wallis, Pettitt and Friedman tests have the worst performances. The best performing absolute test is F‐test for structural breaks.

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Homogeneity assessment of a station climate series (1933–2005) in the Metropolitan Area of São Paulo: instruments change and urbanization effects

Cited by 31 publications

References 31 publications

Estudo Da Precipitação No Estado De Minas Gerais-Mg

Estudo Da Precipitação No Estado De Minas Gerais-Mg

Long‐term study of the occurrence and time of passage of sea breeze in São Paulo, 1960–2009

Comparison of homogeneity tests for temperature using a simulation study

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