TOSSH: A Toolbox for Streamflow Signatures in Hydrology

Sebastian J Gnann*, Gemma Coxon, Ross A Woods, Nicholas J K Howden, Hilary K McMillan

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

4 Citations (Scopus)
14 Downloads (Pure)

Abstract

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).
Original languageEnglish
Article number104983
Number of pages8
JournalEnvironmental Modelling and Software
Volume138
Early online date4 Feb 2021
DOIs
Publication statusPublished - 1 Apr 2021

Bibliographical note

Funding Information:
This work is funded as part of the Water Informatics Science and Engineering Centre for Doctoral Training (WISE CDT) under a grant from the Engineering and Physical Sciences Research Council ( EPSRC ), grant number EP/L016214/1 .

Funding Information:
This work is funded as part of the Water Informatics Science and Engineering Centre for Doctoral Training (WISE CDT) under a grant from the Engineering and Physical Sciences Research Council (EPSRC), grant number EP/L016214/1.

Publisher Copyright:
© 2021 Elsevier Ltd

Keywords

  • hydrology
  • hydrologic signatures
  • streamflow
  • reproducibility
  • Matlab

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