Práticas Simples em Análises Climatológicas: Uma Revisão

Bombardi, Rodrigo J.; Carvalho, Leila M. V.

doi:10.1590/0102-77863230001

Cited by 9 publications

(9 citation statements)

References 12 publications

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“…Usually, the IDF equation coefficients are adjusted using the Least Squares Method (LSM) as the objective function. However, the LSM is more affected by extreme values (Bombardi et al, 2017). Thus, the coefficients of the IDF equation were adjusted in the environment of the RStudio, by programming a routine for adjustment of a non-linear model that used the Nash-Sutcliffe Coefficient (CNS) as the objective function and the dataset of Intensity, Duration and RP.…”

Section: Durations Relationsmentioning

confidence: 99%

Intensity-Duration-Frequency equations for Rio Grande do Sul - Brazil, based on stationary rainfall series

et al. 2023

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Heavy rainfall information is essential for environmental studies and water engineering. This study therefore aimed to adjust Intensity-Duration-Frequency (IDF) equations for 247 locations in the Rio Grande do Sul (RS) using stationary rainfall series. Mann-Kendall’s test was applied to identify the temporal trends in the Annual Maximum Daily Rainfall (AMDR) series of 271 rain gauges in RS. The Kappa, Generalized Extreme Value (GEV), Gumbel, two-parameters Log-Normal and three-parameters Log-Normal probabilistic distributions were adjusted to the AMDR series without significant temporal trend. The best distribution fit was given by Anderson-Darling’s test, so the AMDR was discretized up to 5 minutes. IDF equations coefficients were adjusted in RStudio, using Nash-Sutcliffe’s Coefficient and the Root-Mean-Square Error to evaluate them. In conclusion: the most suitable distributions for the AMDR were the multiparametric Kappa and GEV; the IDF equations coefficients adjustment was classified as “excellent”; coefficients a and b varied across the RS and are correlated with the AMDR and geographical positions; and the c and d coefficients were practically constant. Keywords: goodness of fit test, Kappa probabilistic distribution, trends test.

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Section: Durations Relationsmentioning

confidence: 99%

Intensity-Duration-Frequency equations for Rio Grande do Sul - Brazil, based on stationary rainfall series

et al. 2023

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“…The opposite results obtained by the application of the simple regression and the Mann-Kendall test suggest an upper estimation of the significant trend using the simple regression method, which may induce to an incorrect conclusion. This divergent result also was identified by Bombardi and Carvalho (2017) analyzing a rainfall series in the Brazilian central region, in this case, the authors verified a significant trend by the use of the simple regression and a non-significant using the Mann-Kendall test, which confirm the robustness of the test, being this trustworthy to identify trends in temporal series of weather data. Blain et al (2009) analyzing the minimum air temperature in Campinas, Piracicaba, Cordeirópolis/Limeira, Monte Alegre do Sul, Pindorama and Ribeirão Preto, all in São Paulo state, during 1917 until 2006 detected positive trend in all sites, however, significant raises were found just in Campinas, Cordeirópolis/Limeira and Ribeirão Preto.…”

Section: Trend Analysismentioning

confidence: 60%

Variability and Trend of Air Temperature and Rainfall at Ribeirão do Lobo Hydrographic Basin, Brazil

Neves

Beruski²,

Filho

et al. 2020

Rev. Bras. Geog. Fis.

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Climate changes have been observed all over the world and are pointed out as responsible to impact the natural resources, especially the amount and the quality of the water in a hydrographic basin. Thus, the present research aimed to analyze the variability and trends of air temperature and rainfall data in the Hydrographic Basin of the Ribeirão do Lobo, São Paulo state, Brazil. The weather data from 1988 to 2017 were collected in the Center of Water Resources and Environment Studies of the University of São Paulo (CRHEA), and in five rainfall stations of the National Water Agency of Brazil (ANA) spread all over the basin. To identify climate changes were applied the simple regression, the run test, the Mann-Kendall and modified Mann-Kendall tests. The results showed significant positive trends in air temperature, especially in the annual period and during the third quarter with rising up to 0.068 °C year-1. Significant increases were verified to minimum, maximum and mean air temperature, which suggests possible climate changes during the period in the analysis. To the rainfall data, periods with positive and negative trends were found, although, most of the time the trends were non-significant. However, a significant negative trend of the rainfall was observed in Ribeirão do Feijão station with a reduction of -10.03 mm year-1.

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“…Moreover, Pearson's correlation and its significance according to the Student's t test were used to assess the relationship between the precipitation and air temperature extreme indices with the SST anomalies [11]. The effective degrees of freedom (EDOF) of correlations between variables of different characteristics can be estimated from autoregressive properties in both databases [34,35]. We estimated the EDOF using the method proposed by [36].…”

Section: Discussionmentioning

confidence: 99%

Trends in Precipitation and Air Temperature Extremes and Their Relationship with Sea Surface Temperature in the Brazilian Midwest

Santos

Machado²,

Biudes

et al. 2023

Atmosphere

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The Brazilian Midwest has significant spatiotemporal variability in terms of precipitation and air temperature, making it more vulnerable to the occurrence of extreme weather events. The objective of this study is to characterize the trend of extreme climatic events regarding precipitation and air temperature in the Brazilian Midwest, and to analyze their relationship with Pacific and Atlantic Sea Surface Temperature anomalies (SSTAs). We used daily precipitation and air temperature data measured at 24 conventional weather stations. Pacific and Atlantic SSTA data were obtained from the Climate Prediction Center. The frequency of hot extremes had increased, while that of cold extremes had decreased significantly, thus highlighting the consistent warming across the Brazilian Midwest. The precipitation extremes had greater variability than the temperature extremes. Precipitation intensity increased in Amazonia, with no change in annual precipitation volume. The precipitation extremes in the Brazilian Savanna, Pantanal, and the Atlantic Forest did not have a well-defined pattern but indicated a trend towards a decrease in days with intense precipitation events. In general, the Equatorial Pacific and Atlantic Ocean (TNAI and TSAI) SSTAs were negatively correlated with precipitation extreme indices and positively correlated with air temperature extreme indices in the Amazon. However, the North Atlantic SSTAs were positively correlated with precipitation and air temperature extreme indices in the Brazilian Savanna and Pantanal. In addition, the Pacific SSTAs were positively correlated with precipitation intensity in the Atlantic Forest. Thus, the variability of the trends of precipitation and air temperature extreme indices in the Brazilian Midwest was observed, and it was surmised that this measure was significantly related to Pacific and Atlantic SSTAs.

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Práticas Simples em Análises Climatológicas: Uma Revisão

Cited by 9 publications

References 12 publications

Intensity-Duration-Frequency equations for Rio Grande do Sul - Brazil, based on stationary rainfall series

Intensity-Duration-Frequency equations for Rio Grande do Sul - Brazil, based on stationary rainfall series

Variability and Trend of Air Temperature and Rainfall at Ribeirão do Lobo Hydrographic Basin, Brazil

Trends in Precipitation and Air Temperature Extremes and Their Relationship with Sea Surface Temperature in the Brazilian Midwest

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