Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-3055-2019
https://doi.org/10.5194/gmd-12-3055-2019
Development and technical paper
 | 
17 Jul 2019
Development and technical paper |  | 17 Jul 2019

Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)

Stefan Lange

Viewed

Total article views: 13,128 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
10,132 2,898 98 13,128 174 201
  • HTML: 10,132
  • PDF: 2,898
  • XML: 98
  • Total: 13,128
  • BibTeX: 174
  • EndNote: 201
Views and downloads (calculated since 07 Mar 2019)
Cumulative views and downloads (calculated since 07 Mar 2019)

Viewed (geographical distribution)

Total article views: 13,128 (including HTML, PDF, and XML) Thereof 12,119 with geography defined and 1,009 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Mar 2025
Download
Short summary
Compared to their predecessors, the new Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) methods for bias adjustment and statistical downscaling allow for a more robust adjustment of extreme values and spatial variability, preserve trends more accurately across quantiles, and facilitate a clearer separation of bias adjustment and statistical downscaling.
Share