  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 atmosphere-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.
