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| Created: | Oct 03, 2025 at 9:44 p.m. (UTC) | |
| Last updated: | Jul 30, 2026 at 1:39 p.m. (UTC) | |
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Abstract
The project MEWS (Managing Events and Extremes in Water Supply) is an effort funded through the European Union Water4All partnership, and also with funding supplied by the funders associated with the participating countries. The project is led by Sweden with other participants from Germany, Israel, Denmark and Canada. The project is investigating the effects of hydroclimatic extreme events on drinking water supplies by examining the importance of not only the magnitude of extreme event inputs, but also the importance of the hydrodynamic regulation of the movement and processing of event water that moves through the water supply from inflow to withdrawal . Three water supplies under study are Lake Malaren Sweden, Lake Kinneret Israel , and the Ohra reservoir in Germany. The overriding goal of this project is to develop a freely available comprehensive modelling tool that will allow stakeholders to evaluate the effects of extreme hydro-climatic events on drinking water quality. More information is available at https://mews-water.com/
This resource contains the setup of the 1D coupled hydrodynamic- biogeochemical model (GOTM-Selmaprotbas) of the Ohra Reservoir in Germany
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Content
readme.md
MEWS 1D model setup, Ohra Reservoir, Germany
This is a one-dimensional (1D) hydrodynamic and biogeochmical model setup for Ohra Reservoir, Germany, as part of the MEWS project. It uses the coupled GOTM-Selmaprotbas model. The reservoir receives water from 2 natural streams and two galleries, in addition to the direct ungauged inflow, all represented in the model input. The water is withdrawn for both drinking water and downstream river from a tower facility out of three outtakes at different heights, in addition to a dam-wall bottom outlet. The model setup describes the inflows and the outflows, and sets the initial water level to the relative depth from the surface for the start of the simulation (2008-01-01).
Data origins
The meteorological data was obtained from ERA5-reanalysis (Hersbach et al. 2020). The inflow data for the natrual streams and galleries are observed at the gauges, and stastically derived for the ungauged inflow . The inflow nutrient concentrations are derived from the regular monitoring conducted by the water authority managing the reservoir [THÜRINGER FERNWASSERVERSORGUNG]. and extended to a daily time series using the rloadest R package. The hypsograph is extracted from a storage curve of the lake provided by the water authority. The observed data of the temperature and biogeochemical varibales are the monthly averages of the data provided by the water authority.
Running the setup
The entire setup, calibrated configuration files for both GOTM (gotm.yaml) and Selmaprotbas (fabm.yaml), and input files are provided in the "GOTM-simulation" folder. Currently the setup is set to simulate 5 years between 2020 and 2024 with respect to the initial conditioins. However, if you want to run the model, you only have to run ./gotm_1_2_2 gotm.yaml in the terminal (first set the directory to the location of the model files) for linux systems, and .\gotm_v2_2.exe gotm.yaml for windows systems.
The output files will be in netcdf format. Several tools in R, Python, such as pyncview are available to visualise the output data.
Model versions
Linux and Windows executable files are provided. It uses the lake-branch of GOTM (after commit 9313560 (Aug 25, 2025), from https://github.com/gotm-model/code/tree/lake) and and v1.2.2 of Selmaprotbas (after commit 14e12f2 (Jul 18, 2026), from https://github.com/jorritmesman/selmaprotbas).
References
- Hersbach, Hans, Bill Bell, Paul Berrisford, Shoji Hirahara, András Horányi, Joaquín Muñoz‐Sabater, Julien Nicolas et al. "The ERA5 global reanalysis." Quarterly journal of the royal meteorological society 146, no. 730 (2020): 1999-2049.
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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