The study of the impact of climate variability and change requires long series of quality meteorological data from several sites. Measuring stations are sparse with data gaps and short durations, so time generators are indispensable to generate climate data that are statistically similar to the observed data. This study describes a Matlab-based multi-site stochastic time generator (MulGETS) for generating daily precipitation and temperature data. The daily observation weather stations of Séguéla, Vavoua, Zoukougbeu, Daloa, Issia and Grand-zattry were used and the results show that the model adequately reproduces the meteorological data. The observed and simulated values show a very good correlation with the coefficients of determination very near to 1, indicating the performance of the model.

Keywords : Performance, weather generator MulGETS, precipitation, temperature, Lobo watershed