Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 19
Articles | Volume 17, issue 19
https://doi.org/10.5194/gmd-17-7245-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-7245-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 19
Model description paper
 | 
09 Oct 2024
Model description paper |  | 09 Oct 2024

RASCAL v1.0: an open-source tool for climatological time series reconstruction and extension

Álvaro González-Cervera and Luis Durán

Viewed

Total article views: 1,858 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,263 213 382 1,858 59 93
  • HTML: 1,263
  • PDF: 213
  • XML: 382
  • Total: 1,858
  • BibTeX: 59
  • EndNote: 93
Views and downloads (calculated since 14 May 2024)
Cumulative views and downloads (calculated since 14 May 2024)

Viewed (geographical distribution)

Total article views: 1,858 (including HTML, PDF, and XML) Thereof 1,780 with geography defined and 78 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Oct 2025
Download
Short summary
RASCAL is an open-source Python tool designed for reconstructing daily climate observations, especially in regions with complex local phenomena. It merges large-scale weather patterns with local weather using the analog method. Evaluations in central Spain show that RASCAL outperforms ERA20C reanalysis in reconstructing precipitation and temperature. RASCAL offers opportunities for broad scientific applications, from short-term forecasts to local-scale climate change scenarios.
Read more
Share