Comment on "Most computational hydrology is not reproducible, so is it really science?" by Christopher Hutton et al. Issue 3 (28th March 2017)
- Record Type:
- Journal Article
- Title:
- Comment on "Most computational hydrology is not reproducible, so is it really science?" by Christopher Hutton et al. Issue 3 (28th March 2017)
- Main Title:
- Comment on "Most computational hydrology is not reproducible, so is it really science?" by Christopher Hutton et al.
- Authors:
- Melsen, Lieke A.
Torfs, Paul J. J. F.
Uijlenhoet, Remko
Teuling, Adriaan J. - Abstract:
- Abstract: We discuss two definitions of reproducibility, and question if both definitions are required to be met in computational hydrological studies. Key Points: Reproducibility or repeatability in computational hydrology Repeatability in itself does not advance scientific knowledge Availability of code and data availability is still needed for hypothesis testing
- Is Part Of:
- Water resources research. Volume 53:Issue 3(2017)
- Journal:
- Water resources research
- Issue:
- Volume 53:Issue 3(2017)
- Issue Display:
- Volume 53, Issue 3 (2017)
- Year:
- 2017
- Volume:
- 53
- Issue:
- 3
- Issue Sort Value:
- 2017-0053-0003-0000
- Page Start:
- 2568
- Page End:
- 2569
- Publication Date:
- 2017-03-28
- Subjects:
- reproducibility -- repeatability -- computational hydrology
Hydrology -- Periodicals
333.91 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1944-7973 ↗
http://www.agu.org/pubs/current/wr/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/2016WR020208 ↗
- Languages:
- English
- ISSNs:
- 0043-1397
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9275.150000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1802.xml