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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/40643
Title: 
Non-stationary frequency analysis of extreme daily rainfall in São Paulo, Brazil
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Universidade de São Paulo (USP)
  • Universidade Federal do Paraná (UFPR)
ISSN: 
0899-8418
Sponsorship: 
Financiadora de Estudos e Projetos (FINEP)
Sponsorship Process Number: 
  • FINEP: 01.06.1120.00
  • FINEP: 01.06.1126.00
Abstract: 
This work is an assessment of frequency of extreme values (EVs) of daily rainfall in the city of São Paulo. Brazil, over the period 1933-2005, based on the peaks-over-threshold (POT) and Generalized Pareto Distribution (GPD) approach. Usually. a GPD model is fitted to a sample of POT Values Selected With a constant threshold. However. in this work we use time-dependent thresholds, composed of relatively large p quantities (for example p of 0.97) of daily rainfall amounts computed from all available data. Samples of POT values were extracted with several Values of p. Four different GPD models (GPD-1, GPD-2, GPD-3. and GDP-4) were fitted to each one of these samples by the maximum likelihood (ML) method. The shape parameter was assumed constant for the four models, but time-varying covariates were incorporated into scale parameter of GPD-2. GPD-3, and GPD-4, describing annual cycle in GPD-2. linear trend in GPD-3, and both annual cycle and linear trend in GPD-4. The GPD-1 with constant scale and shape parameters is the simplest model. For identification of the best model among the four models WC used rescaled Akaike Information Criterion (AIC) with second-order bias correction. This criterion isolates GPD-3 as the best model, i.e. the one with positive linear trend in the scale parameter. The slope of this trend is significant compared to the null hypothesis of no trend, for about 98% confidence level. The non-parametric Mann-Kendall test also showed presence of positive trend in the annual frequency of excess over high thresholds. with p-value being virtually zero. Therefore. there is strong evidence that high quantiles of daily rainfall in the city of São Paulo have been increasing in magnitude and frequency over time. For example. 0.99 quantiles of daily rainfall amount have increased by about 40 mm between 1933 and 2005. Copyright (C) 2008 Royal Meteorological Society
Issue Date: 
1-Jul-2009
Citation: 
International Journal of Climatology. Chichester: John Wiley & Sons Ltd, v. 29, n. 9, p. 1339-1349, 2009.
Time Duration: 
1339-1349
Publisher: 
John Wiley & Sons Ltd
Keywords: 
  • Brazil
  • extreme daily rainfall
  • frequency analysis
  • non-stationarity
  • peaks-over-threshold
  • Generalized Pareto Distribution
  • São Paulo
Source: 
http://dx.doi.org/10.1002/joc.1760
URI: 
Access Rights: 
Acesso aberto
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/40643
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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