Journal metrics

Journal metrics

  • IF value: 1.129 IF 1.129
  • IF 5-year value: 1.519 IF 5-year 1.519
  • CiteScore value: 1.54 CiteScore 1.54
  • SNIP value: 0.798 SNIP 0.798
  • SJR value: 0.610 SJR 0.610
  • IPP value: 1.41 IPP 1.41
  • h5-index value: 21 h5-index 21
  • Scimago H index value: 48 Scimago H index 48
Volume 22, issue 5 | Copyright

Special issue: Complex network approaches to analyzing and modeling nonlinear...

Nonlin. Processes Geophys., 22, 545-570, 2015
https://doi.org/10.5194/npg-22-545-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review article 23 Sep 2015

Review article | 23 Sep 2015

Review: visual analytics of climate networks

T. Nocke et al.
Related authors
A network-based detection scheme for the jet stream core
Sonja Molnos, Tarek Mamdouh, Stefan Petri, Thomas Nocke, Tino Weinkauf, and Dim Coumou
Earth Syst. Dynam., 8, 75-89, https://doi.org/10.5194/esd-8-75-2017,https://doi.org/10.5194/esd-8-75-2017, 2017
Related subject area
Subject: Time Series, Complex Networks, Stochastic Processes, Extreme Events | Topic: Climate, Atmosphere, Ocean, Hydrology, Cryosphere, Biosphere
Comparison of stochastic parameterizations in the framework of a coupled ocean–atmosphere model
Jonathan Demaeyer and Stéphane Vannitsem
Nonlin. Processes Geophys., 25, 605-631, https://doi.org/10.5194/npg-25-605-2018,https://doi.org/10.5194/npg-25-605-2018, 2018
Idealized models of the joint probability distribution of wind speeds
Adam H. Monahan
Nonlin. Processes Geophys., 25, 335-353, https://doi.org/10.5194/npg-25-335-2018,https://doi.org/10.5194/npg-25-335-2018, 2018
Nonlinear analysis of the occurrence of hurricanes in the Gulf of Mexico and the Caribbean Sea
Berenice Rojo-Garibaldi, David Alberto Salas-de-León, María Adela Monreal-Gómez, Norma Leticia Sánchez-Santillán, and David Salas-Monreal
Nonlin. Processes Geophys., 25, 291-300, https://doi.org/10.5194/npg-25-291-2018,https://doi.org/10.5194/npg-25-291-2018, 2018
A general theory on frequency and time–frequency analysis of irregularly sampled time series based on projection methods – Part 1: Frequency analysis
Guillaume Lenoir and Michel Crucifix
Nonlin. Processes Geophys., 25, 145-173, https://doi.org/10.5194/npg-25-145-2018,https://doi.org/10.5194/npg-25-145-2018, 2018
A general theory on frequency and time–frequency analysis of irregularly sampled time series based on projection methods – Part 2: Extension to time–frequency analysis
Guillaume Lenoir and Michel Crucifix
Nonlin. Processes Geophys., 25, 175-200, https://doi.org/10.5194/npg-25-175-2018,https://doi.org/10.5194/npg-25-175-2018, 2018
Cited articles
Abello, J. and Pogel, A.: Graph Partitions and Concept Lattices, Discrete Methods in Epidemiology, AMS-DIMACS Series, 70, 115–138, 2006.
Abello, J., Hadlak, S., Schumann, H., and Schulz, H.-J.: A Modular Degree-of-Interest Specification for the Visual Analysis of Large Dynamic Networks, IEEE T. Visual. Comput. Graph., 20, 337–350, 2014.
Adar, E.: GUESS: A Language and Interface for Graph Exploration, in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI), ACM, New York, NY, USA, 2006.
Aigner, W., Miksch, S., Schumann, H., and Tominski, C.: Visualization of Time-Oriented Data, Springer, London, UK, 2011.
Albert, R. and Barabasi, A. L.: Statistical Mechanics of Complex Networks, Rev. Modern Phys., 74, 47–97, 2002.
Publications Copernicus
Special issue
Download
Short summary
The paper reviews the available visualisation techniques and tools for the visual analysis of geo-physical climate networks. The results from a questionnaire with experts from non-linear physics are presented, and the paper surveys recent developments from information visualisation and cartography with respect to their applicability for visual climate network analytics. Several case studies based on own solutions illustrate the potentials of state-of-the-art network visualisation technology.
The paper reviews the available visualisation techniques and tools for the visual analysis of...
Citation
Share