Postprocessing of Ensemble Precipitation Predictions with Extended Logistic Regression Based on Hindcasts
By Emmanuel Roulin, Stéphane Vannitsem. 2012
69 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/c746cbfe1874eb446dd03dd3f9840896e7895c80
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
- Thordis Linda Thorarinsdottir
- Michael Scheuerer
- Kira Feldmann
- Sebastian Lerch
- Achim Zeileis
- Jakob W. Messner
- Georg J. Mayr
- D. Wilks
In Global and Planetary Change
- Thordis Linda Thorarinsdottir
- Michael Scheuerer
- Kira Feldmann
- Sebastian Lerch
- Achim Zeileis
- Jakob W. Messner
- Georg J. Mayr
- Alexander I. Jordan
Citations in the corpus
- Spatial Postprocessing of Ensemble Forecasts for Temperature Using Nonhomogeneous Gaussian Regression (2014, methodology): “…(spatial) correlation structure of the ensemble represents the true multivariate uncertainty well, methods that use or retain the rank correlations (Roulin and Vannitsem, 2011; Schefzik et al., 2013; Van Schaeybroeck and Vannitsem, 2013) have the potential advantage that they can feature…”