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- W4386797979 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> The evaluation of streamflow predictions forms an essential part of most hydrological modelling studies published in the literature. The evaluation process typically involves the computation of some evaluation metrics, but it can also involve the pre-processing of the predictions and the post-processing of the computed metrics. In order for published hydrological studies to be reproducible, these steps need to be carefully documented by the authors. The availability of a single tool performing all of these tasks would simplify the documentation by the authors, but also the reproducibility by the readers. However, this requires for such a tool to be polyglot (i.e. usable in a variety of programming languages) and openly accessible, so that it can be used by everyone in the hydrological community. To this end, we developed a new tool named evalhyd that offers metrics and functionalities for the evaluation of deterministic and probabilistic streamflow predictions. It is open source and it can be used in Python, in R, in C++, or as a command line tool. This article describes the tool and illustrates its functionalities using Global Flood Awareness System (GloFAS) reforecasts over France as an example data set." @default.
- W4386797979 created "2023-09-17" @default.
- W4386797979 creator A5039904061 @default.
- W4386797979 date "2023-09-17" @default.
- W4386797979 modified "2023-09-26" @default.
- W4386797979 title "Comment on egusphere-2023-1424" @default.
- W4386797979 doi "https://doi.org/10.5194/egusphere-2023-1424-rc1" @default.
- W4386797979 hasPublicationYear "2023" @default.
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