Advances in Science and Research
Advances in Science and Research
ASR
Articles | Volume 15
Articles | Volume 15
https://doi.org/10.5194/asr-15-107-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/asr-15-107-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15
08 Jun 2018
 | 08 Jun 2018

Bias adjustment for threshold-based climate indicators

Peter Hoffmann, Christoph Menz, and Arne Spekat

Viewed

Total article views: 3,697 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,061 561 75 3,697 110 99
  • HTML: 3,061
  • PDF: 561
  • XML: 75
  • Total: 3,697
  • BibTeX: 110
  • EndNote: 99
Views and downloads (calculated since 08 Jun 2018)
Cumulative views and downloads (calculated since 08 Jun 2018)

Viewed (geographical distribution)

Total article views: 3,107 (including HTML, PDF, and XML) Thereof 2,980 with geography defined and 127 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
The adjustment of bias, i.e., systematic errors, of climate models are a necessity when comparing results of an ensemble of these models. Usually, the meteorological parameters such as temperature or rainfall amounts themselves are subject to bias adjustments. We present a new method to apply bias adjustment to so-called climate indicators which are derived from those parameters, e.g., the number of days warmer than 30 °C or the number of days with more than 20 mm of rain.
Read more