Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 2
Articles | Volume 14, issue 2
https://doi.org/10.5194/gmd-14-821-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-821-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 2
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

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Latest update: 20 Nov 2024
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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.
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