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

Journal metrics

  • IF value: 0.987 IF 0.987
  • IF 5-year<br/> value: 1.358 IF 5-year
    1.358
  • SNIP value: 1.003 SNIP 1.003
  • IPP value: 1.618 IPP 1.618
  • SJR value: 0.824 SJR 0.824
  • h5-index value: 21 h5-index 21
NPG cover
Executive editors: 
Roger
 
Grimshaw
(chief-executive editor)
,
Jürgen
 
Kurths
Ana M.
 
Mancho
Daniel
 
Schertzer
&
Olivier
 
Talagrand

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.

News

Update data policy

29 Jun 2015

We have updated our data policy: it now also refers to the Data Citation Principles and stresses the necessity of data availability.

NPG awarded DOAJ Seal

25 Jun 2015

Nonlinear Processes in Geophysics (NPG) has received the new DOAJ Seal which recognizes journals with an exceptionally high level of publishing standards and best practice.

NPG now member of COPE

22 May 2015

Nonlinear Processes in Geophysics (NPG) has become a member of the Committee on Publication Ethics (COPE) and thereby subscribes to the principles of COPE.

Recent articles


Highlight articles

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