Effective implementation of a scenario-neutral climate impact assessment relies on the integration of many modelling components at multiple stages: from the generation of appropriate climate boundary conditions that can be used to rigorously ‘stress-test’ a system, to the simulation, visualisation and interpretation of resulting system performance. For systems with complex temporal dynamics, the generation of climate forcing time series combined with the significant simulation and visualization demands represent a barrier to the wide-scale adoption of scenario-neutral approaches. A unified five-step framework and supporting R-package, foreSIGHT (Systems Insights from the Generation of Hydroclimate Time series), are introduced that enable the application of a scenario-neutral climate impact assessment from appropriate time series generation to the analysis of system performance. The software can be applied to compare both current system performance and selected alternative system management or design options and its application is demonstrated for a case study.

有效执行不依赖情景的气候影响评估，需要在多个阶段集成许多建模组件：从生成可用于严格“压力测试”系统的合适气候边界条件，到模拟，可视化和解释系统性能。对于具有复杂时间动态的系统，气候强迫时间序列的产生以及大量的模拟和可视化需求，构成了广泛采用与场景无关的方法的障碍。统一的五个步骤的框架和支持R-包，前引入了SIGHT（来自水文气候时间序列的系统洞察），可以将情景中性的气候影响评估从适当的时间序列生成应用到系统性能分析。该软件可用于比较当前的系统性能和选定的替代系统管理或设计选项，并针对案例研究演示了其应用。