Articles | Volume 27, issue 4
https://doi.org/10.5194/hess-27-873-2023
https://doi.org/10.5194/hess-27-873-2023
Research article
 | 
23 Feb 2023
Research article |  | 23 Feb 2023

Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts

Richard Laugesen, Mark Thyer, David McInerney, and Dmitri Kavetski

Viewed

Total article views: 1,976 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,508 434 34 1,976 121 17 17
  • HTML: 1,508
  • PDF: 434
  • XML: 34
  • Total: 1,976
  • Supplement: 121
  • BibTeX: 17
  • EndNote: 17
Views and downloads (calculated since 21 Mar 2022)
Cumulative views and downloads (calculated since 21 Mar 2022)

Viewed (geographical distribution)

Total article views: 1,976 (including HTML, PDF, and XML) Thereof 1,866 with geography defined and 110 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Feb 2024
Download
Short summary
Forecasts may be valuable for user decisions, but current practice to quantify it has critical limitations. This study introduces RUV (relative utility value, a new metric that can be tailored to specific decisions and decision-makers. It illustrates how critical this decision context is when evaluating forecast value. This study paves the way for agencies to tailor the evaluation of their services to customer decisions and researchers to study model improvements through the lens of user impact.