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| Created: | Jul 30, 2026 at 12:37 p.m. (UTC) | |
| Last updated: | Jul 30, 2026 at 1:47 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | Multidimensional Content |
| Sharing Status: | Discoverable (Accessible via direct link sharing) |
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Abstract
The project MEWS (Managing Events and Extremes in Water Supply) is a 3 year 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 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/
A setup for the 3D pyGETM model of Mälaren is provided at https://github.com/BoldingBruggeman/mews/tree/main/malaren. In this Hydroshare repository, we provide 1) a full period of ERA5 forcing adapted for use in the pyGETM model, 2) an alternative source of inflow files (S-HYPE, made for hydrodynamic simulations only), and 3) an example output file of a pyGETM-Selmaprotbas run (2015-04-26 until 2015-09-13).
Subject Keywords
Coverage
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Content
readme.md
MEWS 3D model setup support files, Mälaren, Sweden
A three-dimensional (3D) model was set up for the lake Mälaren, Sweden, as part of the MEWS project, pyGETM. It is coupled to the biogeochemical Selmaprotbas model. The setup is available here: https://github.com/BoldingBruggeman/mews/tree/main/malaren
In this repository, we provide additional files that can be used as input for that setup, and an example output file.
Data origins
The meteorological data was obtained from ERA5 (Hersbach et al., 2020). The inflow data originates from SMHI, gap-filled with S-HYPE model simulations. The inflow nutrient concentrations are derived from the SLU environmental monitoring program and extended to a daily time series using the rloadest R package. The bathymetry was originally provided by Sjöfartverket, but smoothed in order to ensure stability of the model run.
Running the setup
Please refer to the GitHub repository for a standalone runnable version and the Github of the pyGETM model for information about the model.
Folders
- ERA5: ERA5 forcing files for the area around Mälaren, which can be used to run the pyGETM model
- HYPE river forcing: Files for inflows running into Mälaren from the S-HYPE model. Note: the discharge has been increased by this repository's authors in order to add up to represent 100% of Mälaren's watershed.
- Example output file: An example output file of the pyGETM-Selmaprotbas model of Mälaren, for the period 2015-04-26 until 2015-09-13
References
- Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., Thépaut, J.N., 2020. The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society 146(730) 1999-2049 doi:10.1002/qj.3803
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| European Union Horizon 2020 program | Water4All Partnership | 101060874 |
| FORMAS | Hantera händelser och extrema förhållanden i vattenförsörjning | 2023-01872 |
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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