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Why climate storytelling is the antidote to unintelligible models

The hegemony of General Circulation Models may be stifling alternative approaches to climate risk analysis
Why climate storytelling is the antidote to unintelligible models
AI-generated via DALL-E

It’s time for a little more diversity in the climate analytics space.  There’s a suffocating orthodoxy favoring General Circulation Models (GCMs) which is stopping alternate approaches from getting the oxygen they need to thrive.  The result is a skewed view of encroaching climate risks and a growing mistrust of climate risk analysis as a discipline. 

That’s the gist of a new paper out of the American Meteorological Society by Marina Baldissera Pacchetti et al. Or to put it even more succinctly: “high-resolution GCMs are not the only game in town”, as co-author Erica Thompson argued on LinkedIn.

What are we talking about here?  And how does it relate to climate-related financial risk?  Well, GCMs have been ruling the roost for some time now.  These are tools used to simulate potential climate futures at a global scale, used by the Intergovernmental Panel on Climate Change (IPCC) and various national and international research efforts – such as the European Union’s Destination Earth.

GCMs are firmly entrenched in the mainstream of climate science. As a result, a great deal of intellectual energy and money is being poured into improving this modeling approach.  Last year, for example, the Berlin Summit for EVE (Earth Virtualization Engines) proposed a network of research centers focused on souped-up GCMs at a price tag of €300mn per center, per year.