<p>Variations in key climatic factors, such as temperature and atmospheric pressure, have a significant influence on the distribution of precipitation, leading to extreme events such as droughts, floods, heat or cold waves. This research aims to analyze spatiotemporally the seasonal distribution of precipitation and its relationship with ENSO 2015 in the Southern Cone countries of Argentina, Chile and Uruguay (1980–2015). Methodologically, it presents a statistical-quantitative approach channeled through analysis of monthly climate time series and regional spatial resolution. ERA5 reanalysis data provided by the Copernicus Climate Change Service for the periods 1980–2015 were used to determine and correlate climate anomalies in monthly continental precipitation (TP) and sea surface temperature (SST, in kelvin), which were processed and statistically analyzed using RStudio x64 (version 2023.06) and Microsoft Excel^® 2016. The results revealed that ENSO showed an increase in temperature for all months corresponding to 2015, with January (1.09) and November (2.92) having the highest SST anomaly. The least warm quarter corresponds to January, February, and March, while the warmest corresponds to October, November, and December, generating a turning point with increases of 1° to 3&#xa0;°C. In contrast, during the third quarter, positive anomalies were distributed from the El Niño 3.4 region to the El Niño 1 + 2 region, with a higher concentration in the El Niño 3.4 region.</p>