Articles | Volume 23, issue 8
Hydrol. Earth Syst. Sci., 23, 3405–3421, 2019
https://doi.org/10.5194/hess-23-3405-2019
Hydrol. Earth Syst. Sci., 23, 3405–3421, 2019
https://doi.org/10.5194/hess-23-3405-2019
Research article
19 Aug 2019
Research article | 19 Aug 2019

Improving hydrological projection performance under contrasting climatic conditions using spatial coherence through a hierarchical Bayesian regression framework

Zhengke Pan et al.

Viewed

Total article views: 2,111 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,125 957 29 2,111 125 34 38
  • HTML: 1,125
  • PDF: 957
  • XML: 29
  • Total: 2,111
  • Supplement: 125
  • BibTeX: 34
  • EndNote: 38
Views and downloads (calculated since 04 Feb 2019)
Cumulative views and downloads (calculated since 04 Feb 2019)

Viewed (geographical distribution)

Total article views: 1,622 (including HTML, PDF, and XML) Thereof 1,607 with geography defined and 15 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Aug 2022
Download
Short summary
Understanding the projection performance of hydrological models under contrasting climatic conditions supports robust decision making, which highlights the need to adopt time-varying parameters in hydrological modeling to reduce performance degradation. This study improves our understanding of the spatial coherence of time-varying parameters, which will help improve the projection performance under differing climatic conditions.