Considerations for parameter optimization and sensitivity in climate models.

ABSTRACT: Climate models exhibit high sensitivity in some respects, such as for differences in predicted precipitation changes under global warming. Despite successful large-scale simulations, regional climatology features prove difficult to constrain toward observations, with challenges including high-dimensionality, computationally expensive simulations, and ambiguity in the choice of objective function. In an atmospheric General Circulation Model forced by observed sea surface temperature or coupled to a mixed-layer ocean, many climatic variables yield rms-error objective functions that vary smoothly through the feasible parameter range. This smoothness occurs despite nonlinearity strong enough to reverse the curvature of the objective function in some parameters, and to imply limitations on mult

SUBMITTER: Neelin JD 

PROVIDER: S-EPMC3003081 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature