Data accompanying the manuscript: Spectral Analysis of Groundwater Level Time Series for Robust Estimation of Aquifer Response Times

This upload contains required data and scripts accompanying the work: Spectral Analysis of Groundwater Level Time Series for Robust Estimation of Aquifer Response Times Timo Houben (1,4), Christian Siebert (2), Thomas Kalbacher (3), Mariaines Di Dato (1), Thomas Fischer (3), and Sabine Attinger (1,4) (1) Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany (2) Department Catchment Hydrology, Helmholtz Centre for Environmental Research - UFZ, Theodor-Lieser-Str. 4, 06120 Halle, Germany (3) Department of Environmental Informatics, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany (4) Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany Submitted to HESS (Hydrology and Earth System Sciences, EGU, Copernicus Publications) Content 1) Selected groundwater data from Bavaria. Originally downloaded from the Bavarian State Office for the Environment (LfU), (Bayerisches Landesamt für Umwelt, 2022) 2) Corresponding metadata (Bayerisches Landesamt für Umwelt, 2022) 3) Extracted and averaged recharge time series from a mesoscale hydrological model run (mHM, Samaniego et al., 2010; Kumar et al., 2013; Zink et al., 2017) conducted by Marx et al. 2021. 4) processed and clipped SRTM for Bavaria and corresponding derivatives for FLL estimation, SRTM was downloaded originally from OpenTopography (2013) 5) Workflow scripts of the presented analysis. Note: The Aquipy library is required which can be downloaded via GitHub (Houben, T. 2025) . ├── data │ ├── 1. gw_bavaria_shallow_selected │ ├── 2. metadata │ └── 3. recharge_kernel_2 │ └── 4. spatial ├── readme.md └── 5. scripts ├── 01_process_timeseries.py ├── 02_process_metadata.py ├── 03_spectral_analysis_array.py ├── 04_clean_spa_results.py ├── 05_convert_2_raster.py ├── 06_plot_spectra_and_series.py ├── 08_manual_clustering.py ├── 09_merge_spa_and_gw_results.py ├── 10_analyse_spa_results.py ├── config.yml ├── logs ├── manual_date_range.csv ├── process_mod.py ├── spa-bavaria.yml └── utils.py References Bayerisches Landesamt für Umwelt: Oberes Grundwasser-Stockwerk Bayern, https://www.gkd.bayern.de/de/grundwasser/oberesstockwerk, 2022 Houben, T. (2025). timohouben/AquiPy: HESS-v0.1 (0.1). Zenodo. https://doi.org/10.5281/zenodo.17610248 Kumar, R., Samaniego, L., and Attinger, S.: Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations, Water Resources Research, 49, 360–379, https://doi.org/10.1029/2012wr012195, 2013 Marx, A., Boeing, F., Rakovec, O., Müller, S., Özge Can, Malla, C., Peichl, M., and Samaniego, L.: Auswirkungen des Klimawandels auf Wasserbedarf und -dargebot, Wasserwirtschaft, 2021. OpenTopography: Shuttle Radar Topography Mission (SRTM) Global, https://doi.org/10.5069/G9445JDF, 2013. Samaniego, L., Kumar, R., and Attinger, S.: Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale, WaterResources Research, 46, https://doi.org/10.1029/2008wr007327, 2010. Zink, M., Kumar, R., Cuntz, M., and Samaniego, L.: A high-resolution dataset of water fluxes and states for Germany accounting for parametric uncertainty, Hydrology and Earth System Sciences, 21, 1769–1790, https://doi.org/10.5194/hess-21-1769-2017, 2017.