Articles | Volume 5, issue 1
https://doi.org/10.5194/ascmo-5-37-2019
https://doi.org/10.5194/ascmo-5-37-2019
10 Apr 2019
 | 10 Apr 2019

Future climate emulations using quantile regressions on large ensembles

Matz A. Haugen, Michael L. Stein, Ryan L. Sriver, and Elisabeth J. Moyer

Viewed

Total article views: 5,593 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,993 524 76 5,593 74 74
  • HTML: 4,993
  • PDF: 524
  • XML: 76
  • Total: 5,593
  • BibTeX: 74
  • EndNote: 74
Views and downloads (calculated since 10 Apr 2019)
Cumulative views and downloads (calculated since 10 Apr 2019)

Viewed (geographical distribution)

Total article views: 4,417 (including HTML, PDF, and XML) Thereof 4,229 with geography defined and 188 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Jun 2024
Download
Short summary
This work uses current temperature observations combined with climate models to project future temperature estimates, e.g., 100 years into the future. We accomplish this by modeling temperature as a smooth function of time both in the seasonal variation as well as in the annual trend. These smooth functions are estimated at multiple quantiles that are all projected into the future. We hope that this work can be used as a template for how other climate variables can be projected into the future.