Articles | Volume 14, issue 2
Geosci. Model Dev., 14, 821–842, 2021
https://doi.org/10.5194/gmd-14-821-2021
Geosci. Model Dev., 14, 821–842, 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 et al.

Viewed

Total article views: 982 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
623 312 47 982 51 38
  • HTML: 623
  • PDF: 312
  • XML: 47
  • Total: 982
  • BibTeX: 51
  • EndNote: 38
Views and downloads (calculated since 04 May 2020)
Cumulative views and downloads (calculated since 04 May 2020)

Viewed (geographical distribution)

Total article views: 781 (including HTML, PDF, and XML) Thereof 780 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Apr 2021
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.