Articles | Volume 29, issue 22
https://doi.org/10.5194/hess-29-6333-2025
https://doi.org/10.5194/hess-29-6333-2025
Research article
 | 
17 Nov 2025
Research article |  | 17 Nov 2025

Improving model calibrations in a changing world: controlling for nonstationarity after mega disturbance reduces hydrological uncertainty

Elijah N. Boardman, Gabrielle F. S. Boisramé, Mark S. Wigmosta, Robert K. Shriver, and Adrian A. Harpold

Viewed

Total article views: 1,599 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,358 189 52 1,599 81 43 60
  • HTML: 1,358
  • PDF: 189
  • XML: 52
  • Total: 1,599
  • Supplement: 81
  • BibTeX: 43
  • EndNote: 60
Views and downloads (calculated since 21 May 2025)
Cumulative views and downloads (calculated since 21 May 2025)

Viewed (geographical distribution)

Total article views: 1,599 (including HTML, PDF, and XML) Thereof 1,597 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 12 Feb 2026
Download
Short summary
Environmental changes can cause hydrological model biases that vary over time (nonstationarity). We demonstrate a new calibration framework to detect and correct nonstationary streamflow biases after a large wildfire, which reduces predictive uncertainty and constrains parameter equifinality.
Share