Forward sensitivity analysis via Gaussian process emulators identifies observation regions that serve as strong proxies for accurate Bayesian parameter calibration and reduced posterior uncertainty in Earth system models.
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Connecting the forward problem to the inverse problem in uncertainty quantification of Earth system models using fast emulators
Forward sensitivity analysis via Gaussian process emulators identifies observation regions that serve as strong proxies for accurate Bayesian parameter calibration and reduced posterior uncertainty in Earth system models.