| Registro completo |
| Provedor de dados: |
Ciência Rural
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| País: |
Brazil
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| Título: |
Modeling extreme minimum air temperature series under climate change conditions
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| Autores: |
Blain,Gabriel Constantino
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| Data: |
2011-11-01
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| Ano: |
2011
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| Palavras-chave: |
Time-dependent model
Probability function
Non-stationary approach
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| Resumo: |
Considering the presence of non-stationary components, such as trends, in the extreme minimum air temperature series available from three locations of the State of São Paulo-Brazil, the aim of this research was to describe the probabilistic structure of this variable by using a non-stationary model (based on the general extreme value distribution; GEV model) in which the parameters are estimated as a function of time covariate. The Mann-Kendall test has proven the presence of significant increasing trends in all analyzed series. Furthermore, according to the Pettitt (changing-point) test, 1991 is the initial year of these trends (in the three locations). The applied selection criteria indicated that a GEV model in which the location parameter is estimated as a function of time is recommended to describe the probability structure of the variable under evaluation. The others two parameters of this model remained time-independent. According to this non-stationary model, the detected trends in the climate conditions of these locations have shown the same rate of change (0.04°C per year).
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782011001100005
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| Editor: |
Universidade Federal de Santa Maria
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| Relação: |
10.1590/S0103-84782011001100005
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| Formato: |
text/html
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| Fonte: |
Ciência Rural v.41 n.11 2011
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| Direitos: |
info:eu-repo/semantics/openAccess
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