Statistical Methods in the Atmospheric Sciences (3rd Edition), Daniel S. Wilks : book review
By W. Landman. 2015
467 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9a7ac43043049d8559e0df637ec240534aecc3b0
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Citations in the corpus
- Ensemble size: How suboptimal is less than infinity? (2018, background): “The CRPS is commonly defined as an integral of the squared error of the cumulative distribution (Wilks, 2011).”
- Spatial Postprocessing of Ensemble Forecasts for Temperature Using Nonhomogeneous Gaussian Regression (2014, methodology): “The NGR method of Gneiting et al. (2005) generalizes the common model output statistics (MOS) postprocessing technique, see e.g. Wilks (2011).”
- Neural networks for post-processing ensemble weather forecasts (2018, methodology): “The calibration of ensemble forecasts can be assessed via verification rank (VR) histograms summarizing the distribution of ranks of the observation y s,t when it is pooled with the ensemble forecast (Hamill, 2001; Gneiting et al., 2007; Wilks, 2011).”