TY - JOUR
T1 - Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al.
T2 - Let hydrologists learn the latest computer science by working with Research Software Engineers (RSEs) and not reinvent the waterwheel ourselves
AU - Hut, R. W.
AU - van de Giesen, N. C.
AU - Drost, N
PY - 2017/5/1
Y1 - 2017/5/1
N2 - 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).
AB - 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).
KW - computational hydrology
KW - computer science
KW - research software
UR - http://www.scopus.com/inward/record.url?scp=85019193297&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:57b5d583-b680-4d50-bd64-6487b3bd194f
U2 - 10.1002/2017WR020665
DO - 10.1002/2017WR020665
M3 - Comment/Letter to the editor
AN - SCOPUS:85019193297
SN - 0043-1397
VL - 53
SP - 4524
EP - 4526
JO - Water Resources Research
JF - Water Resources Research
IS - 5
ER -