Evaluating raw ensembles with the continuous ranked probability score

By Jochen Bröcker. 2012

109 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5c8c62d24e03473eeca3c9f1e8baad22892fac98

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Thordis Linda Thorarinsdottir
2. Michael Scheuerer
3. Kira Feldmann
4. Sebastian Lerch
5. Achim Zeileis
6. Jakob W. Messner
7. Georg J. Mayr
8. D. Wilks

In Environmental Engineering

1. Michael Scheuerer
2. Kira Feldmann
3. Thordis Linda Thorarinsdottir

In Global and Planetary Change

1. Thordis Linda Thorarinsdottir
2. Michael Scheuerer
3. Kira Feldmann
4. Sebastian Lerch
5. Achim Zeileis
6. Jakob W. Messner
7. Georg J. Mayr
8. Alexander I. Jordan

Citations in the corpus

• Spatial Postprocessing of Ensemble Forecasts for Temperature Using Nonhomogeneous Gaussian Regression (2014, methodology): “We use the quantiles in (6) as it follows from results in Bröcker (2012) that this sample maintains the calibration of the univariate forecasts.”