Articles | Volume 12, issue 8
https://doi.org/10.5194/gmd-12-3419-2019
https://doi.org/10.5194/gmd-12-3419-2019
Model evaluation paper
 | 
05 Aug 2019
Model evaluation paper |  | 05 Aug 2019

Climate projections of a multivariate heat stress index: the role of downscaling and bias correction

Ana Casanueva, Sven Kotlarski, Sixto Herrera, Andreas M. Fischer, Tord Kjellstrom, and Cornelia Schwierz

Viewed

Total article views: 4,159 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,761 1,321 77 4,159 384 88 84
  • HTML: 2,761
  • PDF: 1,321
  • XML: 77
  • Total: 4,159
  • Supplement: 384
  • BibTeX: 88
  • EndNote: 84
Views and downloads (calculated since 14 Jan 2019)
Cumulative views and downloads (calculated since 14 Jan 2019)

Viewed (geographical distribution)

Total article views: 4,159 (including HTML, PDF, and XML) Thereof 3,641 with geography defined and 518 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
Given the large number of available data sets and products currently produced for climate impact studies, it is challenging to distil the most accurate and useful information for climate services. This work presents a comparison of methods widely used to generate climate projections, from different sources and at different spatial resolutions, in order to assess the role of downscaling and statistical post-processing (bias correction).