Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 386
Articles | Volume 386
https://doi.org/10.5194/piahs-386-55-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-386-55-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 386
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Investigation of Uncertainties in Multi-variable Bias Adjustment in Multi-model Ensemble

Saurabh Kelkar and Koji Dairaku

Viewed

Total article views: 591 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
421 137 33 591 56 30 70
  • HTML: 421
  • PDF: 137
  • XML: 33
  • Total: 591
  • Supplement: 56
  • BibTeX: 30
  • EndNote: 70
Views and downloads (calculated since 19 Apr 2024)
Cumulative views and downloads (calculated since 19 Apr 2024)

Viewed (geographical distribution)

Total article views: 566 (including HTML, PDF, and XML) Thereof 566 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Dec 2025
Download
Short summary
Climate models are widely used to assess climate risks. Bias adjustment methods are often used to reduce biases in model simulations. Our research focuses on a bias adjustment method based on topography adjustment that considers the interactions between climate variables. Results indicate added bias over mountainous regions; however, they also show bias reductions over low-altitude regions, highlighting potential application over regions with limited observation data.
Read more
Share