Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 3
Articles | Volume 28, issue 3
https://doi.org/10.5194/hess-28-691-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-691-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 3
Research article
 | 
16 Feb 2024
Research article |  | 16 Feb 2024

Seasonal prediction of end-of-dry-season watershed behavior in a highly interconnected alluvial watershed in northern California

Claire Kouba and Thomas Harter

Viewed

Total article views: 2,902 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,234 568 100 2,902 113 138
  • HTML: 2,234
  • PDF: 568
  • XML: 100
  • Total: 2,902
  • BibTeX: 113
  • EndNote: 138
Views and downloads (calculated since 01 Mar 2023)
Cumulative views and downloads (calculated since 01 Mar 2023)

Viewed (geographical distribution)

Total article views: 2,902 (including HTML, PDF, and XML) Thereof 2,828 with geography defined and 74 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Mar 2026
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
In some watersheds, the severity of the dry season has a large impact on aquatic ecosystems. In this study, we design a way to predict, 5–6 months in advance, how severe the dry season will be in a rural watershed in northern California. This early warning can support seasonal adaptive management. To predict these two values, we assess data about snow, rain, groundwater, and river flows. We find that maximum snowpack and total wet season rainfall best predict dry season severity.
Read more
Share