GLOFRIM

Main development by Jannis M. Hoch (Utrecht University, Deltares), Dirk Eilander (VU Amsterdam, Deltares), Hiroaki Ikeuchi (University of Tokyo), Hessel Winsemius (Deltares) and Fedor Baart (Deltares).

Contact: Jannis M. Hoch (j.m.hoch@uu.nl), Dirk Eilander (dirk.eilander@vu.nl)

We also want to acknowledge the contributions of all colleagues involved in the development of GLOFRIM.

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Description

GLOFRIM offers a flexible and modular tool to couple hydrologic, routing, and hydodynamic models across scales. This enables integration of physical processes from different models. The coupling process is spatially explicit (i.e. on grid-to-grid basis) and model information is exchanged online (i.e. per time step).

GLOFRIM is designed as a “human interface” with additional and user friendly Python functions on top of the basic model interface (BMI), which makes it easy to setup and run coupled model simulations. For the model developer, only the BMI needs to be implemented in the model in a scripting language of choice, which makes it easy to develop and maintain.

With the available models, different coupled hydrologic and hydrodynamic model runs can be done, for instance:

  • 2-step coupling: hydrology -> 1D routing or hydrology -> full 2D hydrodynamics

  • 3-step coupling: hydrology -> 1D routing -> full 2D hydrodynamics

_images/GLOFRIM_flows_wLegend.png

GLOFRIM download

The current stable release is GLOFRIM 2.0 and downloadable from Zenodo. Version 2.0 was used in the description artile published in NHESS.

Note

GLOFRIM 2.0 still works with Python 2.7. On GitHub, an unreleased but tested GLOFRIM version working with Python 3.x is available.

GLOFRIM is hosted on GitHub. All unreleased developments can be found there.

All GLOFRIM code is licensed under the GNU General Public License v3.0.

Acknowledgments

The development of GLOFRIM was only possible due to the contribution of many colleagues at various departments and universities.

Particular shout-outs go to:

Jeffrey Neal, Paul Bates, Arthur van Dam, Herman Kernkamp, Edwin Sutanudjaja, Rens van Beek, and Marc Bierkens.

Research was funded by the European Institute of Innovation and Technology (EIT) Climate-KIC and Netherlands Organisation for Scientific Research (NWO).

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