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

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

doi:10.5194/gmd-19-1075-2026

Articles | Volume 19, issue 3

https://doi.org/10.5194/gmd-19-1075-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-1075-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 3

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

Data sets

GeoDS downscaled datasets Jean-Baptiste Brenner https://doi.org/10.5281/zenodo.16420097

APGD: Alpine precipitation grid dataset F. Isotta and C. Frei https://doi.org/10.18751/CLIMATE/GRIDDATA/APGD/1.0

ERA5 monthly averaged data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.6860a573

Model code and software

Code of GeoDS Jean-Baptiste Brenner https://doi.org/10.5281/zenodo.17045252

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.