摘要The aim of this pilot study conducted by the consortium for capacity building was to develop a prototype concept and methodology for the classification and visualization of the geographic impacts of El Ni(n)o on annual climates and seasonality.Our study is based on the K(o)ppen-Geiger climate classification scheme for a set of selected countries affected by strong El Ni(n)os in Latin America.By identifying and visualizing the annual and seasonal changes in regional,national,or subnational climate regimes that generally accompany an El Nifio event,this research proposes an efficient way to detect and describe climate shifts and variability across time and space.Such knowledge provides a support tool for risk analysis and can potentially enhance government efforts of climate risk management,including disaster risk reduction activities that prevent,mitigate,and improve coping responses to El Ni(n)o-related hydrometeorological threats.Details of the conceptual approach and methodology to classifying and mapping El Ni(n)o's impacts are described and explained using the Central American and circumCaribbean region as a case study.The potential applications for disaster risk reduction as well as its limitations and future work are also discussed.