Articles | Volume 20, issue 5
Hydrol. Earth Syst. Sci., 20, 2019–2034, 2016
https://doi.org/10.5194/hess-20-2019-2016
Hydrol. Earth Syst. Sci., 20, 2019–2034, 2016
https://doi.org/10.5194/hess-20-2019-2016

Research article 17 May 2016

Research article | 17 May 2016

Precipitation ensembles conforming to natural variations derived from a regional climate model using a new bias correction scheme

Kue Bum Kim et al.

Viewed

Total article views: 2,174 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,361 598 215 2,174 71 79
  • HTML: 1,361
  • PDF: 598
  • XML: 215
  • Total: 2,174
  • BibTeX: 71
  • EndNote: 79
Views and downloads (calculated since 09 Oct 2015)
Cumulative views and downloads (calculated since 09 Oct 2015)

Cited

Saved (preprint)

Latest update: 05 Mar 2021
Download
Short summary
A primary advantage of using model ensembles for climate change impact studies is to represent the uncertainties associated with models through the ensemble spread. Currently, most of the conventional bias correction methods adjust all the ensemble members to one reference observation. As a result, the ensemble spread is degraded during bias correction. However the proposed method is able to correct the bias and conform to the ensemble spread so that the ensemble information can be better used.