Complex physical models are the most advanced tools available for producing realistic simulations of the climate system. However, such levels of realism imply high computational cost and restrictions on their use for policymaking and risk assessment. Two central characteristics of climate change are uncertainty and that it is a dynamic problem in which international actions can significantly alter climate projections and information needs, including partial and full compliance of global climate goals. Here we present AIRCC-Clim, a simple climate model emulator that produces regional probabilistic climate change projections of monthly and annual temperature and precipitation, as well as risk measures, based both on standard and user-defined emissions scenarios for six greenhouse gases. AIRCC-Clim emulates 37 atm-ocean coupled general circulation models with low computational and technical requirements for the user. This standalone, user-friendly software is designed for a variety of applications including impact assessments, climate policy evaluation and integrated assessment modelling.

复杂的物理模型是可用于对气候系统进行真实模拟的最先进的工具。然而，这样的现实主义水平意味着高计算成本和对它们用于决策和风险评估的限制。气候变化的两个核心特征是不确定性，它是一个动态问题，国际行动可以显着改变气候预测和信息需求，包括部分和完全遵守全球气候目标。在这里，我们介绍了 AIRCC-Clim，这是一个简单的气候模型仿真器，它根据六种温室气体的标准和用户定义的排放情景生成每月和每年温度和降水的区域概率气候变化预测，以及风险措施。AIRCC-Clim 模拟了 37 个大气压-海洋耦合的一般环流模型，对用户的计算和技术要求较低。这款独立的、用户友好的软件专为各种应用而设计，包括影响评估、气候政策评估和综合评估建模。