Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 14
Articles | Volume 18, issue 14
https://doi.org/10.5194/gmd-18-4417-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-4417-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 14
Model description paper
 | 
22 Jul 2025
Model description paper |  | 22 Jul 2025

SynRad v1.0: a radar forward operator to simulate synthetic weather radar observations from volcanic ash clouds

Vishnu Nair, Anujah Mohanathan, Michael Herzog, David G. Macfarlane, and Duncan A. Robertson

Viewed

Total article views: 548 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
342 120 86 548 24 29
  • HTML: 342
  • PDF: 120
  • XML: 86
  • Total: 548
  • BibTeX: 24
  • EndNote: 29
Views and downloads (calculated since 26 Aug 2024)
Cumulative views and downloads (calculated since 26 Aug 2024)

Viewed (geographical distribution)

Total article views: 548 (including HTML, PDF, and XML) Thereof 548 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Jul 2025
Download
Short summary
A numerical model that simulates the measurement processes behind the ground-based radars used to detect volcanic ash clouds is introduced. Using weather radars to detect volcanic clouds is not ideal, as fine ash particles are smaller than raindrops and remain undetected. We evaluate the performance of weather radars to study ash clouds and to identify optimal frequencies that balance the trade-off between a higher return signal and the higher path attenuation that comes at these higher frequencies.
Read more
Share