Probabilistic evaluation of competing climate models
暂无分享,去创建一个
[1] Veronika Eyring,et al. Evaluation of Climate Models. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change , 2013 .
[2] Reto Knutti,et al. On the interpretation of constrained climate model ensembles , 2012 .
[3] Eric Guilyardi,et al. Towards improved and more routine Earth system model evaluation in CMIP , 2016 .
[4] Daehyun Kim,et al. MJO and Convectively Coupled Equatorial Waves Simulated by CMIP5 Climate Models , 2013 .
[5] A. Weaver,et al. Uncertainty in climate change , 2000, Nature.
[6] Joseph P. Romano,et al. Large Sample Confidence Regions Based on Subsamples under Minimal Assumptions , 1994 .
[7] David B. Stephenson,et al. Statistical problems in the probabilistic prediction of climate change , 2012 .
[8] Charles Doutriaux,et al. Performance metrics for climate models , 2008 .
[9] P. Jones,et al. Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set , 2012 .
[10] C. Franzke,et al. Scale-dependency of the global mean surface temperature trend and its implication for the recent hiatus of global warming , 2015, Scientific Reports.
[11] Rob J Hyndman,et al. Automatic Time Series Forecasting: The forecast Package for R , 2008 .
[12] Peter J. Brockwell,et al. Time Series , 2011, International Encyclopedia of Statistical Science.
[13] C. Deser,et al. Uncertainty in climate change projections: the role of internal variability , 2012, Climate Dynamics.
[14] N. Lazar,et al. The ASA Statement on p-Values: Context, Process, and Purpose , 2016 .
[15] Xiaotong Shen,et al. Nonparametric Hypothesis Testing for a Spatial Signal , 2002 .
[16] Todd R. Ogden,et al. Wavelet Methods for Time Series Analysis , 2002 .
[17] F. Götze,et al. RESAMPLING FEWER THAN n OBSERVATIONS: GAINS, LOSSES, AND REMEDIES FOR LOSSES , 2012 .
[18] J. Shao. Bootstrap Model Selection , 1996 .
[19] Myoung-Seok Suh,et al. Development of New Ensemble Methods Based on the Performance Skills of Regional Climate Models over South Korea , 2012 .
[20] Jonathan Rougier,et al. Probabilistic Inference for Future Climate Using an Ensemble of Climate Model Evaluations , 2007 .
[21] H. Hasumi,et al. Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity , 2010, Journal of Climate.
[22] W. Collins,et al. Evaluation of climate models , 2013 .
[23] M. Collins. Ensembles and probabilities: a new era in the prediction of climate change , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[24] G. Meehl,et al. Decadal prediction: Can it be skillful? , 2009 .
[25] Reto Knutti,et al. The use of the multi-model ensemble in probabilistic climate projections , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[26] E. Mammen. Bootstrap and Wild Bootstrap for High Dimensional Linear Models , 1993 .
[27] Karl E. Taylor,et al. An overview of CMIP5 and the experiment design , 2012 .
[28] Ignacio N. Lobato,et al. A simple and general test for white noise , 2004 .
[29] Richard A. Davis,et al. Time Series: Theory and Methods , 2013 .
[30] M. Webb,et al. Quantification of modelling uncertainties in a large ensemble of climate change simulations , 2004, Nature.
[31] Richard L. Smith,et al. Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles , 2005 .
[32] Julien Boé,et al. Can metric-based approaches really improve multi-model climate projections? The case of summer temperature change in France , 2015, Climate Dynamics.
[33] Sujit K. Ghosh,et al. Essential Wavelets for Statistical Applications and Data Analysis , 2001, Technometrics.
[34] Richard L. Smith,et al. Bayesian Modeling of Uncertainty in Ensembles of Climate Models , 2009 .
[35] F. Giorgi,et al. Calculation of average, uncertainty range, and reliability of regional climate changes from AOGCM simulations via the reliability ensemble averaging (REA) method , 2002 .
[36] A. Hense,et al. Probabilistic climate change predictions applying Bayesian model averaging , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[37] Changbao Wu,et al. Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis , 1986 .
[38] J. Annan,et al. Reliability of the CMIP3 ensemble , 2010 .
[39] K. Taylor,et al. An overview of results from the Coupled Model Intercomparison Project , 2003 .
[40] Gertrude Hirsch Hadorn,et al. Building confidence in climate model projections: an analysis of inferences from fit , 2017 .
[41] Corinne Le Quéré,et al. Climate Change 2013: The Physical Science Basis , 2013 .