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Reply to comment by Añel on “Most computational hydrology is not reproducible, so is it really science?”
Author(s) -
Hutton Christopher,
Wagener Thorsten,
Freer Jim,
Han Dawei,
Duffy Chris,
Arheimer Berit
Publication year - 2017
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/2017wr020480
Subject(s) - code (set theory) , cover (algebra) , workflow , computer science , hydrology (agriculture) , software , data science , geology , engineering , programming language , database , geotechnical engineering , mechanical engineering , set (abstract data type)
In this article, we reply to a comment made on our previous commentary regarding reproducibility in computational hydrology. Software licensing and version control of code are important technical aspects of making code and workflows of scientific experiments open and reproducible. However, in our view, it is the cultural change that is the greatest challenge to overcome to achieve reproducible scientific research in computational hydrology. We believe that from changing the culture and attitude among hydrological scientists, details will evolve to cover more (technical) aspects over time.