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: 1.558 IF 1.558
  • IF 5-year value: 1.475 IF 5-year
    1.475
  • CiteScore value: 2.8 CiteScore
    2.8
  • SNIP value: 0.921 SNIP 0.921
  • IPP value: 1.56 IPP 1.56
  • SJR value: 0.571 SJR 0.571
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 55 Scimago H
    index 55
  • h5-index value: 22 h5-index 22
Volume 21, issue 3
Nonlin. Processes Geophys., 21, 605–615, 2014
https://doi.org/10.5194/npg-21-605-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Physics-driven data mining in climate change and weather...

Nonlin. Processes Geophys., 21, 605–615, 2014
https://doi.org/10.5194/npg-21-605-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 23 May 2014

Research article | 23 May 2014

Trend analysis using non-stationary time series clustering based on the finite element method

M. Gorji Sefidmazgi et al.

Related authors

Differing precipitation response between solar radiation management and carbon dioxide removal due to fast and slow components
Anton Laakso, Peter K. Snyder, Stefan Liess, Antti-Ilari Partanen, and Dylan B. Millet
Earth Syst. Dynam., 11, 415–434, https://doi.org/10.5194/esd-11-415-2020,https://doi.org/10.5194/esd-11-415-2020, 2020
Short summary
Rapid waxing and waning of Beringian ice sheet reconcile glacial climate records from around North Pacific
Zhongshi Zhang, Qing Yan, Ran Zhang, Florence Colleoni, Gilles Ramstein, Gaowen Dai, Martin Jakobsson, Matt O'Regan, Stefan Liess, Denis-Didier Rousseau, Naiqing Wu, Elizabeth J. Farmer, Camille Contoux, Chuncheng Guo, Ning Tan, and Zhengtang Guo
Clim. Past Discuss., https://doi.org/10.5194/cp-2020-38,https://doi.org/10.5194/cp-2020-38, 2020
Manuscript not accepted for further review
Short summary
Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques
A. R. Ganguly, E. A. Kodra, A. Agrawal, A. Banerjee, S. Boriah, Sn. Chatterjee, So. Chatterjee, A. Choudhary, D. Das, J. Faghmous, P. Ganguli, S. Ghosh, K. Hayhoe, C. Hays, W. Hendrix, Q. Fu, J. Kawale, D. Kumar, V. Kumar, W. Liao, S. Liess, R. Mawalagedara, V. Mithal, R. Oglesby, K. Salvi, P. K. Snyder, K. Steinhaeuser, D. Wang, and D. Wuebbles
Nonlin. Processes Geophys., 21, 777–795, https://doi.org/10.5194/npg-21-777-2014,https://doi.org/10.5194/npg-21-777-2014, 2014
Publications Copernicus
Download
Citation