Articles | Volume 19, issue 3
https://doi.org/10.5194/gmd-19-1075-2026
https://doi.org/10.5194/gmd-19-1075-2026
Model description paper
 | 
03 Feb 2026
Model description paper |  | 03 Feb 2026

GeoDS (v.1.0): a simple Geographical DownScaling model for long-term precipitation data over complex terrains

Jean-Baptiste Brenner, Aurélien Quiquet, Didier M. Roche, Didier Paillard, and Pradeebane Vaittinada Ayar

Viewed

Total article views: 2,046 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,740 264 42 2,046 52 51
  • HTML: 1,740
  • PDF: 264
  • XML: 42
  • Total: 2,046
  • BibTeX: 52
  • EndNote: 51
Views and downloads (calculated since 08 Sep 2025)
Cumulative views and downloads (calculated since 08 Sep 2025)

Viewed (geographical distribution)

Total article views: 2,046 (including HTML, PDF, and XML) Thereof 1,956 with geography defined and 90 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Feb 2026
Download
Short summary
Due to the limited spatial and temporal coverage of observations, global models are essential tools to study climate. However, long-term climate data at fine spatial scale are difficult to obtain because of elevated computational costs such algorithms involve. This paper presents a simple model based on the description of climate/topography interactions to generate local precipitation fields at low cost. The objective is to provide a flexible and easy to use method for paleoclimate studies.
Share