Variogram-Based Proper Scoring Rules for Probabilistic Forecasts of Multivariate Quantities*
暂无分享,去创建一个
[1] N. Cressie,et al. Robust estimation of the variogram: I , 1980 .
[2] R. Bruno,et al. Geostatistical Characterization of Fractal Models of Surfaces , 1989 .
[3] Jeffrey L. Anderson. A Method for Producing and Evaluating Probabilistic Forecasts from Ensemble Model Integrations , 1996 .
[4] Thomas M. Hamill,et al. Verification of Eta–RSM Short-Range Ensemble Forecasts , 1997 .
[5] Noel A Cressie,et al. The Variance-Based Cross-Variogram: You Can Add Apples and Oranges , 1998 .
[6] Thomas M. Hamill,et al. Hypothesis Tests for Evaluating Numerical Precipitation Forecasts , 1999 .
[7] Paola Sebastiani,et al. Coherent dispersion criteria for optimal experimental design , 1999 .
[8] H. Hersbach. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems , 2000 .
[9] T. Hamill. Interpretation of Rank Histograms for Verifying Ensemble Forecasts , 2001 .
[10] P. Houtekamer,et al. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation , 2001 .
[11] J. Whitaker,et al. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter , 2001 .
[12] Leonard A. Smith,et al. Evaluating Probabilistic Forecasts Using Information Theory , 2002 .
[13] J. Whitaker,et al. Ensemble Forecasts and the Properties of Flow-Dependent Analysis-Error Covariance Singular Vectors , 2003 .
[14] Daniel S. Wilks,et al. The minimum spanning tree histogram as a verification tool for multidimensional ensemble forecasts , 2004 .
[15] Leonard A. Smith,et al. Extending the Limits of Ensemble Forecast Verification with the Minimum Spanning Tree , 2004 .
[16] R. Buizza,et al. A Comparison of the ECMWF, MSC, and NCEP Global Ensemble Prediction Systems , 2005 .
[17] X. Emery. Variograms of Order ω: A Tool to Validate a Bivariate Distribution Model , 2005 .
[18] John M. Lewis,et al. Roots of Ensemble Forecasting , 2005 .
[19] A. Raftery,et al. Probabilistic forecasts, calibration and sharpness , 2007 .
[20] A. Raftery,et al. Strictly Proper Scoring Rules, Prediction, and Estimation , 2007 .
[21] Adrian E. Raftery,et al. Combining Spatial Statistical and Ensemble Information in Probabilistic Weather Forecasts , 2007 .
[22] Martin Leutbecher,et al. Scale‐dependent verification of ensemble forecasts , 2008 .
[23] Tim N. Palmer,et al. Ensemble forecasting , 2008, J. Comput. Phys..
[24] L. Held,et al. Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds , 2008 .
[25] T. Gneiting. Making and Evaluating Point Forecasts , 2009, 0912.0902.
[26] Tilmann Gneiting,et al. Probabilistic forecasts of wind speed: ensemble model output statistics by using heteroscedastic censored regression , 2010 .
[27] Robin Girard,et al. Evaluating the quality of scenarios of short-term wind power generation , 2012 .
[28] T. Thorarinsdottir,et al. Assessing the Calibration of High-Dimensional Ensemble Forecasts Using Rank Histograms , 2013, 1310.0236.
[29] J. Whitaker,et al. NOAA's Second-Generation Global Medium-Range Ensemble Reforecast Dataset , 2013 .
[30] David B. Stephenson,et al. Three recommendations for evaluating climate predictions , 2013 .
[31] T. Gneiting,et al. Uncertainty Quantification in Complex Simulation Models Using Ensemble Copula Coupling , 2013, 1302.7149.
[32] Tilmann Gneiting,et al. Copula Calibration , 2013, 1307.7650.
[33] Pierre Pinson,et al. Discrimination ability of the Energy score , 2013 .
[34] T. Thorarinsdottir,et al. Spatial Postprocessing of Ensemble Forecasts for Temperature Using Nonhomogeneous Gaussian Regression , 2014, 1407.0058.
[35] D. Wilks. Multivariate ensemble Model Output Statistics using empirical copulas , 2015 .