María Luján Bustos

Estudio comparativo de tres modelos climáticos en Argentina

The lack of meteorological data, with a long time series in some areas all over the world, generate difficulties when we have to characterize the climate. In this context, climate models are relevant to obtain these type of data. Particularly, in Argentina there are no meteorological stations that are distributed equidistantly with records over fifty years, therefore it climatic characterization is complicated. In this context, the aim of this study was to set for Argentina the climatic model that best represent the following variables: precipitation, relative humidity, mean, minimum and maximum temperature. To carry it out, historical meteorological data (from Servicio Meteorologico Nacional) registered In Situ and those who belong to three climatic models (Reanalysis NCEP/NCAR, WorldClima and NEW01) were analyzed for the period 1950-2010. For comparison, different statistical techniques were applied (Analysis of the variance, Fisher tests, regression analysis, correlation coefficients, determination and consistency). In addition, interpolation methods were applied in order to analyze the spatial distribution of each meteorological variable. As a result, climatic models are useful to characterize the climate in those areas with lack of information. Wordlclim has the best fit for mean temperature, while NEW01 for precipitation.