Use-inspired, process-oriented GCM selection: Prioritizing models for regional dynamical downscaling

The pool of global climate models (GCMs) providing the fields needed for dynamical downscaling has increased from the previous generations of the Coupled Model Intercomparison Project (CMIP). However, with limited computational resources, the need for prioritizing the GCMs for subsequent downscaling studies remains.

GCM selection for dynamical downscaling should focus on evaluating processes relevant for providing boundary conditions to the regional models and be inspired by regional uses such as the response of extremes to changes in the boundary conditions. This leads to the need for metrics representing processes of relevance to diverse stake-holders and subregions of a domain. Procedures to account for metric redundancy and the statistical distinguishability of GCM rankings are required.