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Forecasting maximum temperature is very important for the population. In order to offer a way of forecasting this temperature, a method was adapted and tested based on the height of the layer with a dry adiabatic lapse rate. The database was formed over a period of three years: 1998, 1999 and 2000. Determination and correlation coefficients were calculated in order to verify the method validity. Also, several statistical characteristics were determined and the observed and forecasted maximum temperature series were compared. The results show that the method tested is a good one, at least for the region of Pelotas.

La predicción de la temperatura máxima es muy importante para la población. Con el objeto de ofrecer un método de prever esta temperatura, fue adaptado y testado un método que es basado en la altura de la capa con gradiente vertical adiabático seco. La base de datos consistió de tres años: 1998, 1999 y 2000. Los coeficientes de determinación y de correlación fueran determinados y las dos series, temperatura máxima observada y temperatura máxima prevista, fueron comparadas. Los resultados muestran que el método testado es bueno, al menos, para la región de Pelotas.

Index code	Element
ti	article title
au	author
kw	article keywords
subject	subject (title words, abstract and keywords)
ab	abstract
ta	journal short title (e.g. Cad. Saúde Pública)
journal_title	journal full title (e.g. Cadernos de Saúde Pública)
la	publication language code (e.g. pt - Portuguese, es - Spanish)
type	document type
pid	publication identifier
publication_year	publication year of publication
sponsor	sponsor
aff_country	country code of the author's affiliation
aff_institution	author affiliation institution
volume	article volume
issue	article issue
elocation	elocation
doi	DOI number
issn	journal ISSN
in	SciELO colection code (e.g. scl - Brasil, col - Colômbia)
use_license	article usage license code

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