Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2931-2021
https://doi.org/10.5194/hess-25-2931-2021
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

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (07 Jan 2021) by Insa Neuweiler
AR by Raoul Collenteur on behalf of the Authors (18 Feb 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (14 Mar 2021) by Insa Neuweiler
RR by Rodrigo Manzione (15 Mar 2021)
RR by Rafael Schäffer (13 Apr 2021)
ED: Publish as is (25 Apr 2021) by Insa Neuweiler
AR by Raoul Collenteur on behalf of the Authors (26 Apr 2021)
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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.