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Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al.
Author(s) -
Melsen Lieke A.,
Torfs Paul J. J. F.,
Uijlenhoet Remko,
Teuling Adriaan J.
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 - 10.1002/2016wr020208
Subject(s) - hydrology (agriculture) , environmental science , computer science , geology , geotechnical engineering
We discuss two definitions of reproducibility, and question if both definitions are required to be met in computational hydrological studies.