Goodness of fit metrics for use in comparison studies, specifically for use in the field of hydrology
Project description
Goodness of fit metrics for use in comparison studies, specifically for use in the field of hydrology
- Documentation: https://hydroerr.readthedocs.io/en/stable/
- Source: https://github.com/BYU-Hydroinformatics/HydroErr
- Bug reports: https://github.com/BYU-Hydroinformatics/HydroErr/issues
HydroErr provides:
- A library of over 70 error metrics to measure hydrologic skill
- Treatment of NaN, Inf, negative, and zero values.
- Scholarly journal sources and code examples for metric methods in the documentation.
Publications:
- Roberts, W., Williams, G., Jackson, E., Nelson, E., Ames, D., 2018. Hydrostats: A Python Package for Characterizing Errors between Observed and Predicted Time Series. Hydrology 5(4) 66, doi:10.3390/hydrology5040066
We would request that if you use this package that you please cite the above paper. The journal paper is open access and can be found at https://doi.org/10.3390/hydrology5040066. BibTeX, EndNote, and RIS files can be downloaded at the journal site.
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