Articles | Volume 25, issue 11
Hydrol. Earth Syst. Sci., 25, 5717–5732, 2021
https://doi.org/10.5194/hess-25-5717-2021
Hydrol. Earth Syst. Sci., 25, 5717–5732, 2021
https://doi.org/10.5194/hess-25-5717-2021

Research article 08 Nov 2021

Research article | 08 Nov 2021

Attributing correlation skill of dynamical GCM precipitation forecasts to statistical ENSO teleconnection using a set-theory-based approach

Tongtiegang Zhao et al.

Viewed

Total article views: 1,097 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
760 294 43 1,097 28 13 14
  • HTML: 760
  • PDF: 294
  • XML: 43
  • Total: 1,097
  • Supplement: 28
  • BibTeX: 13
  • EndNote: 14
Views and downloads (calculated since 28 Jun 2021)
Cumulative views and downloads (calculated since 28 Jun 2021)

Viewed (geographical distribution)

Total article views: 1,032 (including HTML, PDF, and XML) Thereof 1,032 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Jan 2022
Download
Short summary
This paper develops a novel approach to attributing correlation skill of dynamical GCM forecasts to statistical El Niño–Southern Oscillation (ENSO) teleconnection using the coefficient of determination. Three cases of attribution are effectively facilitated, which are significantly positive anomaly correlation attributable to positive ENSO teleconnection, attributable to negative ENSO teleconnection and not attributable to ENSO teleconnection.