Journal cover Journal topic
Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
NPG cover
Executive editors: 
(chief-executive editor)
Ana M.

Nonlinear Processes in Geophysics (NPG) is an international, interdisciplinary journal for the publication of original research furthering knowledge on nonlinear processes in all branches of Earth, planetary, and solar system sciences. The editors encourage submissions that apply nonlinear analysis methods to both models and data.

The journal maintains sections for research articles, review articles, brief communications, comments and replies, and book reviews, as well as special issues.


Citable video publications for NPG authors

29 Oct 2015

In cooperation with the TIB|AV-Portal NPG authors can now add short, citable video abstracts and video supplements to their articles.

New library and payment concept

29 Sep 2015

From January 2016 onwards, NPG will see changes to the way papers are archived and paid for.

Direct settlement of APCs for scientists from the University of Potsdam

01 Jul 2015

The Potsdam University Library and Copernicus Publications have signed an agreement on direct settlement of article processing charges (APCs).

Recent articles

Highlight articles

The popular data assimilation technique known as the ensemble Kalman filter (EnKF) suffers from sampling errors due to the limited size of the ensemble. This deficiency is usually cured by inflating the sampled error covariances and by using localization. This paper further develops and discusses the finite-size EnKF, or EnKF-N, a variant of the EnKF that does not require inflation. It expands the use of the EnKF-N to a wider range of dynamical regimes.

M. Bocquet, P. N. Raanes, and A. Hannnart

In the past few years, complex networks have been extensively applied to climate sciences, yielding the new field of climate networks. Here, we generalize climate network analysis by investigating the influence of altitudes in network topology. More precisely, we verified that nodes group into different communities corresponding to geographical areas with similar relief properties. This new approach may contribute to obtaining more complete climate network models.

T. K. D. Peron, C. H. Comin, D. R. Amancio, L. da F. Costa, F. A. Rodrigues, and J. Kurths

In this study we identify the sources of the evolving network characteristics by considering a reduced-dimensionality description of the climate system using network nodes given by rotated principal component analysis. The time evolution of structures in local intra-component networks is studied and compared to evolving inter-component connectivity.

J. Hlinka, D. Hartman, N. Jajcay, M. Vejmelka, R. Donner, N. Marwan, J. Kurths, and M. Paluš

Publications Copernicus