Advances in post-processing and blending of deterministic and ensemble forecasts
Advances in post-processing and blending of deterministic and ensemble forecasts
Editor(s): Stephan Hemri, Sebastian Lerch, Maxime Taillardat, Stéphane Vannitsem, and Daniel S. Wilks More information

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17 Nov 2020
Preface: Advances in post-processing and blending of deterministic and ensemble forecasts
Stephan Hemri, Sebastian Lerch, Maxime Taillardat, Stéphane Vannitsem, and Daniel S. Wilks
Nonlin. Processes Geophys., 27, 519–521, https://doi.org/10.5194/npg-27-519-2020,https://doi.org/10.5194/npg-27-519-2020, 2020
31 Aug 2020
Beyond univariate calibration: verifying spatial structure in ensembles of forecast fields
Josh Jacobson, William Kleiber, Michael Scheuerer, and Joseph Bellier
Nonlin. Processes Geophys., 27, 411–427, https://doi.org/10.5194/npg-27-411-2020,https://doi.org/10.5194/npg-27-411-2020, 2020
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06 Oct 2020
Statistical postprocessing of ensemble forecasts for severe weather at Deutscher Wetterdienst
Reinhold Hess
Nonlin. Processes Geophys., 27, 473–487, https://doi.org/10.5194/npg-27-473-2020,https://doi.org/10.5194/npg-27-473-2020, 2020
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12 Jun 2020
Simulation-based comparison of multivariate ensemble post-processing methods
Sebastian Lerch, Sándor Baran, Annette Möller, Jürgen Groß, Roman Schefzik, Stephan Hemri, and Maximiliane Graeter
Nonlin. Processes Geophys., 27, 349–371, https://doi.org/10.5194/npg-27-349-2020,https://doi.org/10.5194/npg-27-349-2020, 2020
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29 May 2020
From research to applications – examples of operational ensemble post-processing in France using machine learning
Maxime Taillardat and Olivier Mestre
Nonlin. Processes Geophys., 27, 329–347, https://doi.org/10.5194/npg-27-329-2020,https://doi.org/10.5194/npg-27-329-2020, 2020
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23 Apr 2020
Vertical profiles of wind gust statistics from a regional reanalysis using multivariate extreme value theory
Julian Steinheuer and Petra Friederichs
Nonlin. Processes Geophys., 27, 239–252, https://doi.org/10.5194/npg-27-239-2020,https://doi.org/10.5194/npg-27-239-2020, 2020
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27 May 2020
Correcting for model changes in statistical postprocessing – an approach based on response theory
Jonathan Demaeyer and Stéphane Vannitsem
Nonlin. Processes Geophys., 27, 307–327, https://doi.org/10.5194/npg-27-307-2020,https://doi.org/10.5194/npg-27-307-2020, 2020
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06 Feb 2020
Order of operation for multi-stage post-processing of ensemble wind forecast trajectories
Nina Schuhen
Nonlin. Processes Geophys., 27, 35–49, https://doi.org/10.5194/npg-27-35-2020,https://doi.org/10.5194/npg-27-35-2020, 2020
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27 Feb 2020
Seasonal statistical–dynamical prediction of the North Atlantic Oscillation by probabilistic post-processing and its evaluation
André Düsterhus
Nonlin. Processes Geophys., 27, 121–131, https://doi.org/10.5194/npg-27-121-2020,https://doi.org/10.5194/npg-27-121-2020, 2020
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05 Feb 2020
Remember the past: a comparison of time-adaptive training schemes for non-homogeneous regression
Moritz N. Lang, Sebastian Lerch, Georg J. Mayr, Thorsten Simon, Reto Stauffer, and Achim Zeileis
Nonlin. Processes Geophys., 27, 23–34, https://doi.org/10.5194/npg-27-23-2020,https://doi.org/10.5194/npg-27-23-2020, 2020
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26 Sep 2019
Statistical post-processing of ensemble forecasts of the height of new snow
Jari-Pekka Nousu, Matthieu Lafaysse, Matthieu Vernay, Joseph Bellier, Guillaume Evin, and Bruno Joly
Nonlin. Processes Geophys., 26, 339–357, https://doi.org/10.5194/npg-26-339-2019,https://doi.org/10.5194/npg-26-339-2019, 2019
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