Preprints
https://doi.org/10.5194/hess-2023-54
https://doi.org/10.5194/hess-2023-54
28 Mar 2023
 | 28 Mar 2023
Status: a revised version of this preprint is currently under review for the journal HESS.

Technical note: Removing dynamic sea-level influences from groundwater-level measurements

Patrick Haehnel, Todd C. Rasmussen, and Gabriel C. Rau

Abstract. The sustainability of limited freshwater resources in coastal settings requires an understanding of the processes that affect them. This is especially relevant for freshwater lenses of oceanic islands. Yet, these processes are often obscured by dynamic oceanic water levels that change over a range of time scales. We use regression deconvolution to estimate an Oceanic Response Function (ORF) that accounts for how sea-level fluctuations affect measured groundwater levels, thus providing a clearer understanding of recharge and withdrawal processes. The method is demonstrated using sea-level and groundwater- level measurements on the island of Norderney in the North Sea (Northwest Germany). We expect that the method is suitable for any coastal groundwater system where it is important to understand processes that affect freshwater lenses or other coastal freshwater resources.

Patrick Haehnel et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2023-54', Jonathan Kennel, 18 Jun 2023
    • AC1: 'Reply on RC1', Patrick Hähnel, 09 Oct 2023
  • RC2: 'Comment on hess-2023-54', Rachel Housego, 15 Sep 2023
    • AC2: 'Reply on RC2', Patrick Hähnel, 09 Oct 2023

Patrick Haehnel et al.

Patrick Haehnel et al.

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Short summary
While groundwater recharge is important for water-resources management, nearshore sea levels can obscure this signal. Regression deconvolution has previously been used to remove other influences from groundwater levels (e.g., barometric pressure, Earth tides) by accounting for time-delayed responses from these influences. We demonstrate that it can also remove sea-level influences from measured groundwater levels.