Error Reduction and Convergence in Climate Prediction

142 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Some issues in uncertainty quantification and parameter tuning: a case study of convective parameterization scheme in the WRF regional climate model (2011, methodology): “Jackson et al. (2008) applied MVFSA to optimize six parameters related to the cloud process in a Global Climate Model (GCM) because cloud processes play a critical role in the hydrological cycle and uncertainty of climate response to doubling of CO2 forcing (Colman, 2003; Webb et al., 2006;…”
Estimation of ECHAM5 climate model closure parameters with adaptive MCMC (2010, methodology): “Jackson et al.(2008) used a stochastic optimization method, Multiple Very Fast Simulated Annealing (MVFSA), for the search of optimal closure parameters of the CAM3.”
Considerations for parameter optimization and sensitivity in climate models (2010, unknown): “J 1⁄4 ∑ k wkf k; f k 1⁄4 hðφk − φobs k Þiβk; [1]”