MEWS 3D model setup, Ohra Reservoir, Germany

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/ohra

This is a three-dimensional (3D) hydrodynamic and biogeochmical model setup for Ohra Reservoir, Germany, as part of the MEWS project. It uses the coupled [PyGETM]-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 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 (2018-01-01).

In this repository, we provide the files that can be used as input for that setup, and an example output file.

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 bathymetery was provided by the water authority as contour maps that were digitized and interpolated and later smoothed in order to ensure stability of the model run..

Please check to the forked he GitHub repository for updates (https://github.com/Muhammed-Shikhani/mews) and the Github of the pyGETM model for information about the model (https://github.com/BoldingBruggeman/getm-rewrite).

Folders

- ERA5: ERA5 forcing files for the area around the Ohra Reservoir, which can be used to run the pyGETM model
- Bathymetry : the bathymetry of the Ohra in the format required by PyGETM 
- River: Files for inflows running into Ohra adn the outflow. The ungauged inflow was distributed to 5 locations to repesent small streams .
- Example output file: An example output file both for 3D physical and biogeochemical variables of the pyGETM-Selmaprotbas model of Ohra, for the period 2018-06-01 until 2018-06-30 at 6 hours timestep
- fabm.yaml calibrated setup for the Selmaprotbas
- run_ohra.py to run PyGETM only
- run_Ohra_fabm.py to run PyGETM + 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.