Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 20
Articles | Volume 26, issue 20
https://doi.org/10.5194/hess-26-5391-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-5391-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 20
Research article
 | 
27 Oct 2022
Research article |  | 27 Oct 2022

A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records

Thea Roksvåg, Ingelin Steinsland, and Kolbjørn Engeland

Viewed

Total article views: 4,988 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,498 1,309 181 4,988 171 230
  • HTML: 3,498
  • PDF: 1,309
  • XML: 181
  • Total: 4,988
  • BibTeX: 171
  • EndNote: 230
Views and downloads (calculated since 03 May 2021)
Cumulative views and downloads (calculated since 03 May 2021)

Viewed (geographical distribution)

Total article views: 4,988 (including HTML, PDF, and XML) Thereof 4,722 with geography defined and 266 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 16 Oct 2026
Download
Short summary
The goal of this work was to make a map of the mean annual runoff for Norway for a 30-year period. We first simulated runoff by using a process-based model that models the relationship between runoff, precipitation, temperature, and land use. Next, we corrected the map based on runoff observations from streams by using a statistical method. We were also able to use data from rivers that only had a few annual observations. We find that the statistical correction improves the runoff estimates.
Read more
Share