Articles | Volume 14, issue 2
https://doi.org/10.5194/gmd-14-821-2021
https://doi.org/10.5194/gmd-14-821-2021
Model description paper
 | 
05 Feb 2021
Model description paper |  | 05 Feb 2021

Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology

John F. Burkhart, Felix N. Matt, Sigbjørn Helset, Yisak Sultan Abdella, Ola Skavhaug, and Olga Silantyeva

Model code and software

Shyft v4.8: A Framework for Uncertainty Assessment and Distributed Hydrologic Modelling for Operational Hydrology J. F. Burkhart, F. Matt, H. Sigbjorn, Y. S. Abdella, O. Skavhaug, and O. Silantyeva https://doi.org/10.5281/zenodo.3782737

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Short summary
We present a new hydrologic modeling framework for interactive development of inflow forecasts for hydropower production planning and other operational environments (e.g., flood forecasting). The software provides a Python user interface with an application programming interface (API) for a computationally optimized C++ model engine, giving end users extensive control over the model configuration in real time during a simulation. This provides for extensive experimentation with configuration.