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TOSSH: A Toolbox for Streamflow Signatures in Hydrology
Environmental Modelling & Software ( IF 4.8 ) Pub Date : 2021-02-04 , DOI: 10.1016/j.envsoft.2021.104983
Sebastian J. Gnann , Gemma Coxon , Ross A. Woods , Nicholas J.K. Howden , Hilary K. McMillan

We present a Matlab toolbox to calculate hydrologic signatures, which are metrics that quantify streamflow dynamics. Signatures are widely used for catchment characterisation, hydrologic model evaluation, and assessment of instream habitat, but standardisation across applications and advice on signature selection is lacking. The toolbox provides accessible, standardised signature calculations, with clear information on methodological decisions and recommended parameter values. The toolbox implements three categories of signatures: basic signatures that describe the five components of a natural streamflow regime, signatures from benchmark papers, and an extended set of process-based signatures. The toolbox is designed for ease of use, including documentation, workflow scripts and example data to demonstrate implementation procedures, and visualisation options. We demonstrate the accuracy and robustness of the signature calculations by applying reproducible workflows to large streamflow datasets. The modular design of the toolbox allows for flexibility and easy future expansion. The toolbox is available from https://github.com/TOSSHtoolbox/TOSSH (https://doi.org/10.5281/zenodo.4313275).



中文翻译:

TOSSH:水文学中水流特征的工具箱

我们提供了一个Matlab工具箱来计算水文特征,这是量化流动态的指标。签名被广泛用于流域特征,水文模型评估和河内栖息地评估,但是缺乏跨应用程序的标准化和关于签名选择的建议。该工具箱提供了可访问的标准化签名计算,以及有关方法决策和建议参数值的清晰信息。该工具箱实现了三类签名:描述自然流机制的五个组成部分的基本签名,来自基准文件的签名以及一组基于过程的扩展签名。该工具箱的设计易于使用,包括文档,工作流程脚本和示例数据,以演示实施过程,和可视化选项。我们通过将可重现的工作流应用于大型流数据集来证明签名计算的准确性和鲁棒性。工具箱的模块化设计具有灵活性,并易于将来扩展。可从https://github.com/TOSSHtoolbox/TOSSH(https://doi.org/10.5281/zenodo.4313275)获得该工具箱。

更新日期:2021-02-09
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