Improving the Resolution of Climate Models to Address Regional Climate Change: Simulating the Spatial-Temporal Patterns of Anthropogenic Climate Change: A Workshop in the Bridging Disciplines, Bridging Scale Series; Santa Fe, New Mexico, 20–22 July 2009



For decades, general circulation models (GCMs) have been one of the primary tools used to understand anthropogenic climate change. Now GCMs are faced with a substantially more complicated task: to provide information of sufficient spatial and temporal resolution to support policy initiatives that will address regional climate change. Different approaches are being developed and used to provide this information, including dynamic downscaling with limited area models (LAMs); high-resolution GCMs with quasi-uniform and variable-resolution grids; and statistical downscaling of limited area and global simulations. At a workshop in New Mexico, participants discussed each method's strengths and limitations as well as associated uncertainty.