Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year
    4.890
  • CiteScore value: 4.49 CiteScore
    4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 51 Scimago H
    index 51
GMD | Articles | Volume 12, issue 1
Geosci. Model Dev., 12, 89-110, 2019
https://doi.org/10.5194/gmd-12-89-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 12, 89-110, 2019
https://doi.org/10.5194/gmd-12-89-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 04 Jan 2019

Model description paper | 04 Jan 2019

Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations

Sergey Venevsky et al.
Viewed  
Total article views: 1,001 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
828 161 12 1,001 13 14
  • HTML: 828
  • PDF: 161
  • XML: 12
  • Total: 1,001
  • BibTeX: 13
  • EndNote: 14
Views and downloads (calculated since 14 Aug 2018)
Cumulative views and downloads (calculated since 14 Aug 2018)
Viewed (geographical distribution)  
Total article views: 759 (including HTML, PDF, and XML) Thereof 756 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 20 Mar 2019
Publications Copernicus
Download
Short summary
We present SEVER-FIRE (v1.0), incorporated into the SEVER DGVM. One of the major focuses of SEVER-FIRE is an implementation of the pyrogenic behavior of humans (timing of their activities and their willingness and necessity to ignite or suppress fire), related to socioeconomic and demographic conditions in a geographical domain of the model application. Unlike other DGVM- and ESM-based global fire models, we do not use any satellite-derived assumptions in equations of fire model development.
We present SEVER-FIRE (v1.0), incorporated into the SEVER DGVM. One of the major focuses of...
Citation