Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al.

Let hydrologists learn the latest computer science by working with Research Software Engineers (RSEs) and not reinvent the waterwheel ourselves

Journal Article (2017)
Author(s)

RW Hut (TU Delft - Water Resources)

Nick Van de Giesen (TU Delft - Water Resources)

N Drost (Netherlands eScience Center)

Research Group
Water Resources
Copyright
© 2017 R.W. Hut, N.C. van de Giesen, N Drost
DOI related publication
https://doi.org/10.1002/2017WR020665
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 R.W. Hut, N.C. van de Giesen, N Drost
Research Group
Water Resources
Issue number
5
Volume number
53
Pages (from-to)
4524-4526
Reuse Rights

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Abstract

The suggestions by Hutton et al. might not be enough to guarantee reproducible computational hydrology. Archiving software code and research data alone will not be enough. We add to the suggestion of Hutton et al. that hydrologists not only document their (computer) work, but that hydrologists use the latest best practices in designing research software, most notably the use of containers and open interfaces. To make sure hydrologists know of these best practices, we urge close collaboration with Research Software Engineers (RSEs).