Lecciones aprendidas del co-diseño y co-desarrollo de servicios climáticos sectoriales basados en predicciones estacionales

Abstract

Many applications of climate information, and in particular of seasonal predictions, are nowadays provided as climate services mainly designed to assist decision-making. These climate services frequently have in common the following features: i) support of decision-making process through customized products based, e.g., on mobile phone apps, websites, and other easily accessible platforms; ii) based on sound scientifically information and expertise; iii) appropriate engagement between the users and providers. The transformation of seasonal predictions into actionable information that can help in the decision-making process for those sectors affected by climate conditions frequently consist of a suite of steps starting from global model outputs and ending up with probabilistic forecasts for indicators defined by users. Figure 1 depicts schematically the main steps in a typical prediction-based suite (Máñez Costa et al. 2021).