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

Viewed

Total article views: 3,029 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,761 1,186 82 3,029 90 81
  • HTML: 1,761
  • PDF: 1,186
  • XML: 82
  • Total: 3,029
  • BibTeX: 90
  • EndNote: 81
Views and downloads (calculated since 04 May 2020)
Cumulative views and downloads (calculated since 04 May 2020)

Viewed (geographical distribution)

Total article views: 3,029 (including HTML, PDF, and XML) Thereof 2,721 with geography defined and 308 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Nov 2024
Download
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.
Read more