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O presente trabalho teve como objetivo principal comparar os valores da temperatura media do ar calculados pelos metodos Padrao (INMET) e dos Extremos (FAO). Utilizando-se uma serie de dados diarios de temperatura do ar (das 12:00 e 24:00 UTC) e das temperaturas maxima e minima, do periodo:01.01.1980 a 31.12.2011, cedida pela Embrapa Algodao, em Campina Grande, PB. Os dados horarios/diario foram agrupados cronologicamente e em seguida determinadas as medias diarias da temperatura media do ar, aplicando os dois metodos citados. Das medias diarias foram calculadas as medias mensais e por estacao do ano. As analises estatisticas foram feitas usando as medidas de tendencia central (media e mediana), de dispersao (amplitude e desvio padrao) e de frequencia. O modelo de ajuste foi o de regressao linear simples e de correlacao de Pearson. Os principais resultados indicaram que os valores medios mensais, anuais e por estacao do ano da temperatura media obtida pelo metodo dos extremos foram maiores, em media, de 1 a 2°C que os pelo metodo padrao. Ao nivel de 99% de confianca estatistica ( = 0,01), o efeito linear foi positivo nas quatro estacoes do ano podendo ser expressa da seguinte forma no verao (Y= 4,4435 + 0,8725x) no outono (Y= -2,4939 + 1,1436x) no inverno (Y= -1 0445 + 1,1084x) e na primavera (Y= - 1,2228 + 1,1084x). Houve forte correlacao (r) entre os dois metodos oscilando entre 0,834 (no verao) e 0,981 (no inverno). Recomenda-se precaucao no uso da media pelo metodo dos Extremos, pois a sua utilizacao, atraves dos dados analisados, acarreta superestimativa.   A B S T R A C T 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 Algodao”, 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.

revista brasileira de geografia física

Análise Comparativa da Temperatura Média do Ar em Campina Grande, PB, Obtida pelo Método dos Extremos e pelo Método Padrão (Comparative Analysis of Average Temperature of Air in Campina Grande, PB, When Obtained by the Extreme and Standard Methods)