Análise comparativa da temperatura média do ar em Campina Grande, PB, obtida pelo Método dos Extremos e pelo Método Padrão
The main objective of the present work is to compare the daily air temperature calculated by two different methods, the Standard and the Extreme. We used a climatological time series from 1th January 1980 to 31 December 2011 of daily air temperature collected at 1200 and 0000UTC as well as the maxim...
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| Principais autores: | , , |
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| Formato: | article |
| Idioma: | pt_BR |
| Publicado em: |
Revista Brasileira de Geografia Física
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| Assuntos: | |
| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/28873 https://doi.org/10.26848/rbgf.v6.4.p888-902 |
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| Resumo: | The main objective of the present work is to compare the daily air temperature calculated by two different methods, the Standard and the Extreme. We used a climatological time series from 1th January 1980 to 31 December 2011 of daily air temperature collected at 1200 and 0000UTC as well as the maximum and minimum daily temperature, available from “Embrapa Algodão”, located in Campina Grande municipality. The dataset was chronologically organized and both, Standard and Extreme, methods were applied. Monthly and climatological analyses were performed from the daily results. The statistic analyses were performed based on average and median calculations. In addition statistic dispersion (amplitude and standard deviation) and frequency distribution were analyzed. We used the linear model and Pearson correlation in order to adjust the models. O main results indicates that the monthly, annual and seasonal temperature obtained by the Extreme methods is always higher relatively to Standard method one. At 99% confidence level the linear effect was positive during the four seasons. In summer the linear equation was (Y= 4,4435 + 0,8725x), in autumn (Y= -2,4939 + 1,1436x) in winter (Y= -1 0445 + 1,1084x) and in spring (Y= - 1,2228 + 1,1084x). A strong correlation was verified between the two models with r = 0.834 and r = 0.981 in winter. Based on results here presented we recommend precaution in using the Extreme values method because it causes overestimation in daily temperature. |
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