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Towards uncertainty quantification and parameter estimation for Earth system models in a component-based modeling framework
7 references·0 citing·24 second hop
Towards uncertainty quantification and parameter estimation for Earth system models in a component-based modeling framework (2016)Towards uncertainty quantification and pa…Problem Solving Environment for Uncertainty Analysis and Design Exploration (2015)Problem Solving Environment f…Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis : (2014)Dakota, a multilevel parallel…Modeling uncertainty in the earth sciences (2012)Modeling uncertainty in the e…A component-based approach to integrated modeling in the geosciences: The design of CSDMS (2012)A component-based approach to…Modeling Uncertainty in the Earth Sciences (2011)Modeling Uncertainty in the E…DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)DAKOTA : a multilevel paralle…The architecture of the Earth System Modeling Framework (2004)The architecture of the Earth…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Comparison of Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Quantification (2009)Recent Advances in Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Analysis and Design (2009)Chaospy: An open source tool for designing methods of uncertainty quantification (2015)Evaluation of Model Coupling Frameworks for Use by the Community Surface Dynamics Modeling System (CSDMS) (2007)An overview of the model integration process: From pre-integration assessment to testing (2016)Position paper: Open web-distributed integrated geographic modelling and simulation to enable broader participation and applications (2020)The Basic Model Interface 2.0: A standard interface for coupling numerical models in the geosciences (2020)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Uncertainty quantification of fluidized beds using a data-driven framework (2019)An amplitude-nested surrogate model for nonlinear response using double-layer Hilbert–Huang transform (2022)Virtual Geographic Environment: A Workspace for Computer-Aided Geographic Experiments (2012)Virtual Geographic Environments (VGEs): A New Generation of Geographic Analysis Tool (2013)Ensemble Kalman Filters and geometric characterization of sensitivity spaces for uncertainty quantification in optimization (2015)Sensitivity Analysis of Spatial and/or Temporal Phenomena (2015)DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments (2016)Decision Making Under Uncertainty (2010)Investigation of reliability method formulations in DAKOTA/UQ (2006)Application of the Integrated Safety Assessment methodology to safety margins. Dynamic Event Trees, Damage Domains and Risk Assessment (2015)Quantification of margins and mixed uncertainties using evidence theory and stochastic expansions (2015)
this work references cited by second hop

References

  • 2010DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.775 cited
  • 2004The architecture of the Earth System Modeling Framework532 cited
  • 2012Modeling uncertainty in the earth sciences373 cited
  • 2012A component-based approach to integrated modeling in the geosciences: The design of CSDMS305 cited
  • 2011Modeling Uncertainty in the Earth Sciences166 cited
  • 2014Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis :91 cited
  • 2015Problem Solving Environment for Uncertainty Analysis and Design Exploration12 cited

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