Analysis of key locations as indicators for extreme climate impacts in supporting climate change adaptation in Indonesia

Abstract

Indonesia has a large tropical archipelago with a complex and dynamic climate. Climate change has a significant impact especially in the agriculture sector where the magnitude of such impact varies from one location to another. Information about the magnitude of the impact and its monitoring in each location is still limited. The research objective was to determine the key locations for Indonesia's climate variability based on SST Niño 3.4 index in El-Niño and La-Niña conditions. More than 4000 rain-stations data were used in this analysis. Key locations were determined based on a strong and significant correlation between rainfall and SST Niño 3.4 index under El-Niño and La-Niña conditions with a lag of 1 to 4 months. Based on the analysis results, 6 rain stations could be used as key locations on El-Niño and 5 rain stations on La-Nina condition. Key locations can be used as priority locations for impact analysis and monitoring of the impact of extreme climate, especially in the agricultural sector.