Articles | Volume 25, issue 4
Hydrol. Earth Syst. Sci., 25, 2261–2277, 2021
https://doi.org/10.5194/hess-25-2261-2021

Special issue: Data acquisition and modelling of hydrological, hydrogeological...

Hydrol. Earth Syst. Sci., 25, 2261–2277, 2021
https://doi.org/10.5194/hess-25-2261-2021

Research article 27 Apr 2021

Research article | 27 Apr 2021

Unsaturated zone model complexity for the assimilation of evapotranspiration rates in groundwater modelling

Simone Gelsinari et al.

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Interactive discussion

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 (further review by editor and referees) (08 Nov 2020) by Harrie-Jan Hendricks Franssen
AR by Simone Gelsinari on behalf of the Authors (17 Jan 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (18 Jan 2021) by Harrie-Jan Hendricks Franssen
RR by Manuela Girotto (12 Feb 2021)
RR by Anonymous Referee #3 (25 Feb 2021)
ED: Publish subject to minor revisions (review by editor) (04 Mar 2021) by Harrie-Jan Hendricks Franssen
AR by Simone Gelsinari on behalf of the Authors (12 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (12 Mar 2021) by Harrie-Jan Hendricks Franssen
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Short summary
Estimates of recharge to groundwater are often driven by biophysical processes occurring in the soil column and, particularly in remote areas, are also always affected by uncertainty. Using data assimilation techniques to merge remotely sensed observations with outputs of numerical models is one way to reduce this uncertainty. Here, we show the benefits of using such a technique with satellite evapotranspiration rates and coupled hydrogeological models applied to a semi-arid site in Australia.