The study of how climatological variables had been or will change over time under emissions of greenhouse gases, has been the subject of several researches since the late nineteenth century and they have increased since the eighties of the XXI Century .
The population growth in the medium and short term mean a greater urbanization with the consequent change in land use in a country; civil protection measures to be implemented will be essential to alert and protect future populations to the occurrence of extraordinary weather events, providing necessary measures in cases such as heatwaves, frosts and floods. In different countries there are units responsible for warning the populations in these cases. In particular knowledge of the behavior of precipitation historically occurred on a site and its forecasting in the long term from variables with relative simplicity of measurement (such as the temperature) is of utmost importance to be able to take action preventive. Rainfall forecast with different climate change scenarios are useful for obtaining new forecasting models that include the history and a first predicted approximation of new series with longer than the historical record length.
The problem of obtaining equations that allow not only reproduce the history of an event, but also to predict the behavior in the near future, will give decision makers in civil protection time for decision-making on prevention and mitigation of damage to a meteorological phenomenon such as precipitation.
Considering new data from presumably climate change scenarios brings to research a new component with respect to existing forecast models. Having the experience and contribution of employees of national and international institutions adds relevance to the investigation.
Ten weather stations with daily records of precipitation and air temperature were selected; on such sites climate change models were applied using the system SEDEPECC the Mexican Institute of Water Technology, with horizons of 50,100,1000,5000 and 10000 years, obtaining forecasts of precipitation and temperature. Monthly behavior patterns of precipitation depending on the temperature-year in the historically recorded values were identified. These models were used to predict precipitation that was compared against that historically recorded for a length m. These models were fitted to a dissection method both vertical and horizontal, finding a higher correlation with the horizontal dissection method.