Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 8
Articles | Volume 24, issue 8
https://doi.org/10.5194/hess-24-4109-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-4109-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 8
Research article
 | 
21 Aug 2020
Research article |  | 21 Aug 2020

Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework

Thea Roksvåg, Ingelin Steinsland, and Kolbjørn Engeland

Viewed

Total article views: 1,989 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,413 543 33 1,989 44 37
  • HTML: 1,413
  • PDF: 543
  • XML: 33
  • Total: 1,989
  • BibTeX: 44
  • EndNote: 37
Views and downloads (calculated since 24 Sep 2019)
Cumulative views and downloads (calculated since 24 Sep 2019)

Viewed (geographical distribution)

Total article views: 1,989 (including HTML, PDF, and XML) Thereof 1,693 with geography defined and 296 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Discussed (final revised paper)

Latest update: 23 Mar 2023
Download
Short summary
Annual runoff is a measure of how much water flows through a river during a year and is an important quantity, e.g. when planning infrastructure. In this paper, we suggest a new statistical model for annual runoff estimation. The model exploits correlation between rivers and is able to detect whether the annual runoff in the target river follows repeated patterns over time relative to neighbouring rivers. In our work we show for what cases the latter represents a benefit over comparable methods.
Read more