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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 20, issue 1
Hydrol. Earth Syst. Sci., 20, 555–569, 2016
https://doi.org/10.5194/hess-20-555-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 555–569, 2016
https://doi.org/10.5194/hess-20-555-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 01 Feb 2016

Research article | 01 Feb 2016

Joint inference of groundwater–recharge and hydraulic–conductivity fields from head data using the ensemble Kalman filter

D. Erdal and O. A. Cirpka

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Status: closed
Status: closed
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: Reconsider after major revisions (10 Aug 2015) by Mauro Giudici
AR by Daniel Erdal on behalf of the Authors (18 Aug 2015)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Aug 2015) by Mauro Giudici
RR by Anonymous Referee #3 (29 Aug 2015)
RR by Anonymous Referee #4 (01 Sep 2015)
ED: Publish subject to minor revisions (Editor review) (04 Sep 2015) by Mauro Giudici
AR by Daniel Erdal on behalf of the Authors (30 Nov 2015)  Author's response    Manuscript
ED: Publish subject to minor revisions (Editor review) (08 Dec 2015) by Mauro Giudici
AR by Daniel Erdal on behalf of the Authors (15 Dec 2015)  Author's response    Manuscript
ED: Publish subject to technical corrections (28 Dec 2015) by Mauro Giudici
AR by Daniel Erdal on behalf of the Authors (08 Jan 2016)  Author's response    Manuscript
Publications Copernicus
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Short summary
Groundwater recharge and hydraulic conductivity are both important properties of a groundwater system. However, models using an erroneous conductivity field can be compensated by a false recharge field to construct the same type of hydraulic head observations. In this work we show that prior knowledge is very important when estimating parameter fields from ambiguous data (such as head observations). If the prior information is reasonable, the joint parameter estimation can be possible.
Groundwater recharge and hydraulic conductivity are both important properties of a groundwater...
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