R² evaluation between Niño region SSTs (1+2, 3, 3.4, 4) and RAIN4PE monthly precipitation in the Piura River basin. (#234)
Read ArticleDate of Conference
July 15-17, 2026
Published In
"Engineering without Borders: Artificial Intelligence, Knowledge, Innovation, and Alliances for a Future from the Americas"
Location of Conference
Santiago (Chile)
Authors
Liñan Olortegui, Carlos Alberto
Miranda Villarroel, Alex Nilsson
Carmona Arteaga, Abel
Castillo Navarro, Leonardo Franco
Pucha Cofrep, Franz Leonardo
Abstract
Sea surface temperature (SST) anomalies in the Niño 1+2 region have a direct influence on precipitation variability in the Piura River basin, often triggering high-impact hydrometeorological events. This study evaluates the sensitivity of the RAIN4PE precipitation product to these anomalies by applying the coefficient of determination (R²) to monthly time series processed in Google Earth Engine. The results indicate that RAIN4PE responds significantly to warm Niño 1+2 conditions, reaching its highest R² values between January and March, and revealing spatial patterns consistent with the regional ENSO dynamics. Overall, the findings demonstrate that RAIN4PE is a reliable tool for monitoring precipitation in the Piura River basin and provides valuable support for teleconnection studies and climate risk management.