Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 7
Articles | Volume 16, issue 7
https://doi.org/10.5194/gmd-16-2055-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-2055-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 7
Methods for assessment of models
 | 
17 Apr 2023
Methods for assessment of models |  | 17 Apr 2023

Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin

Rubina Ansari, Ana Casanueva, Muhammad Usman Liaqat, and Giovanna Grossi

Viewed

Total article views: 2,208 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,687 461 60 2,208 131 43 42
  • HTML: 1,687
  • PDF: 461
  • XML: 60
  • Total: 2,208
  • Supplement: 131
  • BibTeX: 43
  • EndNote: 42
Views and downloads (calculated since 05 Dec 2022)
Cumulative views and downloads (calculated since 05 Dec 2022)

Viewed (geographical distribution)

Total article views: 2,208 (including HTML, PDF, and XML) Thereof 2,111 with geography defined and 97 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Bias correction (BC) has become indispensable to climate model output as a post-processing step to render output more useful for impact assessment studies. The current work presents a comparison of different state-of-the-art BC methods (univariate and multivariate) and BC approaches (direct and component-wise) for climate model simulations from three initiatives (CMIP6, CORDEX, and CORDEX-CORE) for a multivariate drought index (i.e., standardized precipitation evapotranspiration index).
Read more