Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2683-2023
https://doi.org/10.5194/nhess-23-2683-2023
Research article
 | 
31 Jul 2023
Research article |  | 31 Jul 2023

Towards improving the spatial testability of aftershock forecast models

Asim M. Khawaja, Behnam Maleki Asayesh, Sebastian Hainzl, and Danijel Schorlemmer

Viewed

Total article views: 3,726 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,202 1,388 136 3,726 339 175 234
  • HTML: 2,202
  • PDF: 1,388
  • XML: 136
  • Total: 3,726
  • Supplement: 339
  • BibTeX: 175
  • EndNote: 234
Views and downloads (calculated since 09 Mar 2023)
Cumulative views and downloads (calculated since 09 Mar 2023)

Viewed (geographical distribution)

Total article views: 3,726 (including HTML, PDF, and XML) Thereof 3,703 with geography defined and 23 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 20 May 2026
Download
Short summary
Testing of earthquake forecasts is important for model verification. Forecasts are usually spatially discretized with many equal-sized grid cells, but often few earthquakes are available for evaluation, leading to meaningless tests. Here, we propose solutions to improve the testability of earthquake forecasts and give a minimum ratio between the number of earthquakes and spatial cells for significant tests. We show applications of the proposed technique for synthetic and real case studies.
Share
Altmetrics
Final-revised paper
Preprint