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.
Special issue:
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: 831 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
592 192 47 831 85 48 92
  • HTML: 592
  • PDF: 192
  • XML: 47
  • Total: 831
  • Supplement: 85
  • BibTeX: 48
  • EndNote: 92
Views and downloads (calculated since 19 Apr 2024)
Cumulative views and downloads (calculated since 19 Apr 2024)

Viewed (geographical distribution)

Total article views: 793 (including HTML, PDF, and XML) Thereof 793 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Mar 2026
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
Special issue
ICFM9 – River Basin Disaster Resilience and Sustainability...