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.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A spatiotemporal GARCH volatility model for wind speeds shows that spatial dependence must be modeled in the mean for reliable residuals and that volatility persistence increases with height.
citing papers explorer
-
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.
-
Spatiotemporal dynamics of wind-speed volatility
A spatiotemporal GARCH volatility model for wind speeds shows that spatial dependence must be modeled in the mean for reliable residuals and that volatility persistence increases with height.