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      Considerações estatísticas relativas a seis séries mensais de temperatura do ar da Secretaria de Agricultura e Abastecimento do Estado de São Paulo Translated title: Statistical considerations of six monthly air temperature series of the State of São Paulo, Brazil

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          Abstract

          O objetivo do trabalho foi detectar tendências e variações climáticas nas séries mensais de temperatura máxima (Tmax) e mínima (Tmin) do Estado de São Paulo. A fim de obter melhor adequação, entre a probabilidade de ocorrência dos erros estatísticos tipo I e II, foram utilizados métodos paramétricos (teste t, F e razão da verossimilhança) e não paramétricos (teste sazonal de Mann-Kendall e de Pettitt). As séries de Tmin das localidades de Campinas, Cordeirópolis, Ribeirão Preto e, especialmente Ubatuba, apresentam fortes indícios de tendências e variações climáticas nos últimos 60 anos. Nas séries de Monte Alegre do Sul e Pindorama tais indícios são observados de forma pouco significativa. As alterações de ordem climática observadas nas séries de Tmax são bastante inferiores às observadas nas séries de Tmin. Dentre todas as localidades analisadas, a de Ubatuba foi a que apresentou as tendências de elevação mais significativas nos dados de temperatura do ar. Os resultados também indicaram que no mês de Abril podem ser verificados, em todas as seis localidades, os indícios mais significativos de elevação nos valores mensais da Tmax e, em especial, da Tmin. Em contra partida, o mês de Setembro mostrou-se o menos sujeito a elevação nos valores dessas duas variáveis meteorológicas.

          Translated abstract

          The aim of the work was to detect trends and climate variations in monthly maximum (Tmax) and minimum (Tmin) air temperature series of the State of São Paulo. In order to obtain a better balance between the probabilities associated with type I and II errors, parametric methods (tests t, F and the likelihood ratio test) and non-parametric methods (Seasonal Mann-Kendall test and Pettitt test) were used. In the series of Campinas-SP, Cordeirópolis-SP, Ribeirão Preto-SP and, especially Ubatuba-SP, strong evidences of climate trends and climate variations in the last 60 years were detected. In the Monte Alegre do Sul-SP and Pindorama-SP series such climate alterations were not observed. It was also observed that the significance level of climate changes in the Tmax series are lower than those observed in the Tmin series. In the Ubatuba-SP series the highest climate alteration level, among all analyzed Tmax and Tmin series was detected. It was observed that the April months were the most affected by climate changes. On the other hand, the September months were little affected by climate change, in all analyzed Tmax and Tmin series.

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          Most cited references26

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          Nonparametric Tests Against Trend

          Henry Mann (1945)
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            Global observed changes in daily climate extremes of temperature and precipitation

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              A Non-Parametric Approach to the Change-Point Problem

              A. Pettitt (1979)
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                Author and article information

                Journal
                rbmet
                Revista Brasileira de Meteorologia
                Rev. bras. meteorol.
                Sociedade Brasileira de Meteorologia (São Paulo, SP, Brazil )
                0102-7786
                1982-4351
                June 2011
                : 26
                : 2
                : 279-296
                Affiliations
                [01] Campinas SP orgnameInstituto Agronômico de Campinas gabriel@ 123456iac.sp.gov.br
                Article
                S0102-77862011000200012 S0102-7786(11)02600200012
                10.1590/S0102-77862011000200012
                8b75af0a-3719-437a-b578-72012e1da5a1

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : March 2009
                : July 2010
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 26, Pages: 18
                Product

                SciELO Brazil

                Categories
                Artigos

                variações climáticas,tendências climáticas,climate change,climate variation,climate trends,mudanças climáticas

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