Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 5
Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2931-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-2931-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 5
Research article
 | 
31 May 2021
Research article |  | 31 May 2021

Estimation of groundwater recharge from groundwater levels using nonlinear transfer function noise models and comparison to lysimeter data

Raoul A. Collenteur, Mark Bakker, Gernot Klammler, and Steffen Birk

Viewed

Total article views: 8,630 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
6,388 2,131 111 8,630 122 144
  • HTML: 6,388
  • PDF: 2,131
  • XML: 111
  • Total: 8,630
  • BibTeX: 122
  • EndNote: 144
Views and downloads (calculated since 27 Aug 2020)
Cumulative views and downloads (calculated since 27 Aug 2020)

Viewed (geographical distribution)

Total article views: 8,630 (including HTML, PDF, and XML) Thereof 8,221 with geography defined and 409 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Apr 2026
Download
Short summary
This study explores the use of nonlinear transfer function noise (TFN) models to simulate groundwater levels and estimate groundwater recharge from observed groundwater levels. A nonlinear recharge model is implemented in a TFN model to compute the recharge. The estimated recharge rates are shown to be in good agreement with the recharge observed with a lysimeter present at the case study site in Austria. The method can be used to obtain groundwater recharge rates at sub-yearly timescales.
Read more
Share