Articles | Volume 386
https://doi.org/10.5194/piahs-386-55-2024
https://doi.org/10.5194/piahs-386-55-2024
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: 940 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
655 229 56 940 94 55 110
  • HTML: 655
  • PDF: 229
  • XML: 56
  • Total: 940
  • Supplement: 94
  • BibTeX: 55
  • EndNote: 110
Views and downloads (calculated since 19 Apr 2024)
Cumulative views and downloads (calculated since 19 Apr 2024)

Viewed (geographical distribution)

Total article views: 894 (including HTML, PDF, and XML) Thereof 894 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Jul 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.
Share