Spatiotemporal Analysis of Precipitation Patterns associated with El Niño Southern Oscillation in Caraga Region using Google Earth Engine and Remote Sensing
Year: 2026
Type: conference-paper
Abstract: El Niño Southern Oscillation (ENSO) is a global phenomenon that influences the precipitation across the globe. However, its influence on a local setting with sparse monitoring networks remains challenging. This study aims to conduct a comprehensive spatiotemporal analysis of precipitation patterns and their correlation to the ENSO phenomenon in Caraga Region from 2014 to 2020. Further, this study utilized the precipitation dataset from Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), a satellite imagery acquired in Google Earth Engine (GEE) software. This dataset is then used to derive the Standardized Precipitation Index (SPI) in the software to classify precipitation intensities and evaluate their patterns. The highest precipitation occurred in 2017 within Agusan del Sur and Surigao del Sur provinces. It has also been concluded that the ENSO events have a moderate to strong negative linear relationship with the precipitation intensity in the Caraga Region at monthly, quarterly, and semi-annual timescales. However, the influence of ENSO on an annual scale is not guaranteed as significant annually.
Institution: Caraga State University
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: diamond
OpenAlex ID: W7204121256