Journal cover Journal topic
Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 1.699 IF 1.699
  • IF 5-year value: 1.559 IF 5-year
    1.559
  • CiteScore value: 1.61 CiteScore
    1.61
  • SNIP value: 0.884 SNIP 0.884
  • IPP value: 1.49 IPP 1.49
  • SJR value: 0.648 SJR 0.648
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 52 Scimago H
    index 52
  • h5-index value: 21 h5-index 21
The following lists the discussion papers and final revised papers published within the last 60 days.
19 Feb 2020
Application of a local attractor dimension to reduced space strongly coupled data assimilation for chaotic multiscale systems
Courtney Quinn, Terence J. O'Kane, and Vassili Kitsios
Nonlin. Processes Geophys., 27, 51–74, https://doi.org/10.5194/npg-27-51-2020,https://doi.org/10.5194/npg-27-51-2020, 2020
Short summary
11 Feb 2020
Anthropocene Climate Bifurcation
Kolja Leon Kypke, William Finlay Langford, and Allan Richard Willms
Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2020-4,https://doi.org/10.5194/npg-2020-4, 2020
Preprint under review for NPG (discussion: open, 0 comments)
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10 Feb 2020
A method to predict the uncompleted climate transition process
Pengcheng Yan, Guolin Feng, and Wei Hou
Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2020-2,https://doi.org/10.5194/npg-2020-2, 2020
Preprint under review for NPG (discussion: open, 0 comments)
Short summary
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
Short summary
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
Short summary
03 Feb 2020
Prediction and variation of the auroral oval boundary based on a deep learning model and space physical parameters
Yiyuan Han, Bing Han, Zejun Hu, Xinbo Gao, Lixia Zhang, Huigen Yang, and Bin Li
Nonlin. Processes Geophys., 27, 11–22, https://doi.org/10.5194/npg-27-11-2020,https://doi.org/10.5194/npg-27-11-2020, 2020
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30 Jan 2020
Magnitude correlations in a self-similar aftershock rates model of seismicity
Andres F. Zambrano Moreno and Jörn Davidsen
Nonlin. Processes Geophys., 27, 1–9, https://doi.org/10.5194/npg-27-1-2020,https://doi.org/10.5194/npg-27-1-2020, 2020
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20 Jan 2020
Beyond Univariate Calibration: Verifying Spatial Structure in Ensembles of Forecast Fields
Joshuah Jacobson, William Kleiber, Michael Scheuerer, and Joseph Bellier
Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2019-63,https://doi.org/10.5194/npg-2019-63, 2020
Preprint under review for NPG (discussion: open, 1 comment)
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20 Jan 2020
Statistical Postprocessing of Ensemble Forecasts for Severe Weather at Deutscher Wetterdienst
Reinhold Hess
Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2019-64,https://doi.org/10.5194/npg-2019-64, 2020
Preprint under review for NPG (discussion: open, 1 comment)
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16 Jan 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. Discuss., https://doi.org/10.5194/npg-2019-62,https://doi.org/10.5194/npg-2019-62, 2020
Preprint under review for NPG (discussion: open, 3 comments)
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10 Jan 2020
From research to applications – Examples of operational ensemble post-processing in France using machine learning
Maxime Taillardat and Olivier Mestre
Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2019-65,https://doi.org/10.5194/npg-2019-65, 2020
Preprint under review for NPG (discussion: open, 2 comments)
Short summary
02 Jan 2020
Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM
Ashesh Chattopadhyay, Pedram Hassanzadeh, and Devika Subramanian
Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2019-61,https://doi.org/10.5194/npg-2019-61, 2020
Preprint under review for NPG (discussion: open, 0 comments)
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