Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-5007-2020
https://doi.org/10.5194/gmd-13-5007-2020
Methods for assessment of models
 | 
26 Oct 2020
Methods for assessment of models |  | 26 Oct 2020

A new bias-correction method for precipitation over complex terrain suitable for different climate states: a case study using WRF (version 3.8.1)

Patricio Velasquez, Martina Messmer, and Christoph C. Raible

Viewed

Total article views: 5,427 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,943 1,405 79 5,427 77 78
  • HTML: 3,943
  • PDF: 1,405
  • XML: 79
  • Total: 5,427
  • BibTeX: 77
  • EndNote: 78
Views and downloads (calculated since 01 Jul 2019)
Cumulative views and downloads (calculated since 01 Jul 2019)

Viewed (geographical distribution)

Total article views: 5,427 (including HTML, PDF, and XML) Thereof 4,757 with geography defined and 670 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 May 2024
Download
Short summary
This work presents a new bias-correction method for precipitation that considers orographic characteristics, which can be used in studies where the latter strongly changes. The three-step correction method consists of a separation into orographic features, correction of low-intensity precipitation, and application of empirical quantile mapping. Seasonal bias induced by the global climate model is fully corrected. Rigorous cross-validations illustrate the method's applicability and robustness.