  The skill of seasonal precipitation forecasts is assessed worldwide -grid point by grid point- for the forty-years period 1961-2000. To this aim, the ENSEMBLES multi-model hindcast is considered. Although predictability varies with region, season and lead-time, results indicate that 1) significant skill is mainly located in the tropics -20 to 40% of the total land areas-, 2) overall, SON (MAM) is the most (less) skillful season and 3) predictability does not decrease noticeably from one to four months lead-time -this is so especially in northern south America and the Malay archipelago, which seem to be the most skillful regions of the world-. An analysis of teleconnections revealed that most of the skillful zones exhibit significant teleconnections with El Ni\~no. Furthermore, models are shown to reproduce similar teleconnection patterns to those observed, especially in SON -with spatial correlations of around 0.6 in the tropics-. Moreover, these correlations are systematically higher for the skillful areas. Our results indicate that the skill found might be determined to a great extent by the models' ability to properly reproduce the observed El Ni\~no teleconnections, i.e., the better a model simulates the El Ni\~no teleconnections, the higher its performance is. 
Global Forty-Years Validation of Seasonal Precipitation Forecasts:   Assessing El Ni\~no-Driven Skill