Resumo

ESQUIVEL, Gerardo et al. Validation of the ClimGen Model to Estimate Climate Variables when Lacking Data for Modeling Processes. Tecnol. cienc. agua [online]. 2015, vol.6, n.4, pp.117-130. ISSN 2007-2422.

Many hydrological and environmental models often require meteorological information corresponding to different time intervals as input data. This information is often not available at the sites of interest. At most weather stations, data registry periods are frequently insufficient for a good modeling of processes. A series of restrictions exist in their application when meteorological data is not directly available. The present study evaluated the use of the ClimGen weather generator to estimate missing temperature and rainfall data for three sites with low, medium and high rainfall. The parameterization and calculation of the missing data performed for the Riito weather station, which represents dry conditions, resulted in r² values for maximum temperature of r² = 0.96, minimum temperature r² = 0.95 and rainfall r² = 0.98. The Tepehuanes and El Tarahumar stations represent medium rainfall conditions, and resulted in r² values for maximum temperature of r² = 0.98, minimum temperature r² = 0.90 and r² = 0.99, and rainfall r² = 0.96 and r² = 0.93, respectively. Lastly, The Francisco Rueda stations represented high rainfall conditions and resulted in r² values for maximum temperature of r² = 0.96, minimum temperature r² = 0.98 and rainfall r² = 0.97. The results indicate that the data estimated by the weather generator are representative of historical climate data at the study sites.

Palavras-chave : process modeling; weather generators; precipitation; temperature; ClimGen.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )