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Uncertainty quantification
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111	Working Conference on Uncertainty Quantification in Scientific Computing August 1-4, 2011 Add to Reading List Source URL: www.nist.gov Language: English - Date: 2011-07-25 13:39:08 Metrology Cognition Uncertainty Measurement uncertainty Sensitivity analysis International System of Units National Institute of Standards and Technology Calibration DAKOTA Measurement Statistics Knowledge
112	Reducing uncertainty in climate predictions: Enhancing the science case for TRUTHS Unequivocal attribution and quantification of the subtle signatures of climate change separated from the background natural variabilit Add to Reading List Source URL: workspace.imperial.ac.uk Language: English - Date: 2014-04-11 16:43:01 Atmospheric sciences Global warming Environment Earth Climate history Carbon finance Climate change
113	International Workshop on Remote Sensing and Eco-hydrology in Arid Regions September 16-20, 2013, Beijing, China Uncertainty Quantification Of Land Surface Models Qingyun Duan Add to Reading List Source URL: asian-gwadi.westgis.ac.cn Language: English - Date: 2013-09-23 01:46:37 Scientific modeling Knowledge Computational science Operations research Mathematical modeling Sensitivity analysis Computer simulation Uncertainty quantification Climate model Science Mathematics Applied mathematics
114	Uncertainty Quantification: Does it need efficient linear algebra? Catherine Powell David Silvester Add to Reading List Source URL: www.mims.manchester.ac.uk Language: English - Date: 2013-10-24 05:07:09 Operations research Mathematical optimization RAL
115	TOWARDS STOCHASTIC FLUVIAL FLOOD FORECASTING: QUANTIFICATION OF UNCERTAINTY IN VERY SHORT RANGE QPFs AND ITS PROPAGATION THROUGH HYDROLOGICAL AND DECISION MAKING MODELS Clive Pierce1, Neill Bowler1, Alan Seed2, David Jon Add to Reading List Source URL: www.actif-ec.net Language: English - Date: 2006-09-27 05:08:26 Prediction Weather prediction Data assimilation Weather forecasting Forecasting Weather radar Rain Precipitation Flood forecasting Atmospheric sciences Meteorology Statistical forecasting
116	MODEL EVALUATION GUIDELINES FOR SYSTEMATIC QUANTIFICATION OF ACCURACY IN WATERSHED SIMULATIONS D. N. Moriasi, J. G. Arnold, M. W. Van Liew, R. L. Bingner, R. D. Harmel, T. L. Veith Add to Reading List Source URL: swat.tamu.edu Language: English - Date: 2009-11-20 15:25:16 Hydrology Measurement uncertainty Calibration Root-mean-square deviation Accuracy and precision Verification and validation Forecasting Hydrograph Regression model validation Statistics Measurement Regression analysis
117	PDF Document Add to Reading List Source URL: www.fas.org Language: English - Date: 2005-04-06 16:32:08 United States Department of Energy National Laboratories University of California Manhattan Project Measurement Statistical theory Quantification of margins and uncertainties Lawrence Livermore National Laboratory Stockpile stewardship Uncertainty quantification Statistics Science Knowledge
118	PDF Document Add to Reading List Source URL: www.fas.org Language: English - Date: 2006-05-02 10:00:53 Quantification of margins and uncertainties Lawrence Livermore National Laboratory JASON Stockpile stewardship Uncertainty National Nuclear Security Administration Propagation of uncertainty Reliability engineering Risk Statistics Science Knowledge
119	PDF Document Add to Reading List Source URL: prod.sandia.gov Language: English Nuclear technology Statistics Sandia Nuclear safety Uncertainty United States Department of Energy National Nuclear Security Administration Lockheed Martin Science Quantification of margins and uncertainties Livermore California United States Department of Energy National Laboratories
120	Microsoft Word - Final-uncertainty RIF18.doc Add to Reading List Source URL: c4i.gmu.edu Language: English - Date: 2008-10-21 12:33:48 Quantification Predicate logic Rule Interchange Format Semantic Web World Wide Web Universal quantification First-order logic T-norm Fuzzy subalgebra Logic Mathematical logic Fuzzy logic