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Tecnología y ciencias del agua

On-line version ISSN 2007-2422


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.

Keywords : process modeling; weather generators; precipitation; temperature; ClimGen.

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