Most computational hydrology is not reproducible, so is it really science?
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Most computational hydrology is not reproducible, so is it really science?
Authors
Keywords
-
Journal
WATER RESOURCES RESEARCH
Volume 52, Issue 10, Pages 7548-7555
Publisher
American Geophysical Union (AGU)
Online
2016-09-28
DOI
10.1002/2016wr019285
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Using a data grid to automate data preparation pipelines required for regional-scale hydrologic modeling
- (2016) Mirza M. Billah et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Dominant flood generating mechanisms across the United States
- (2016) Wouter R. Berghuijs et al. GEOPHYSICAL RESEARCH LETTERS
- Improving the theoretical underpinnings of process-based hydrologic models
- (2016) Martyn P. Clark et al. WATER RESOURCES RESEARCH
- A decade of RAPID-Reflections on the development of an open source geoscience code
- (2016) Cédric H. David et al. Earth and Space Science
- Server-side workflow execution using data grid technology for reproducible analyses of data-intensive hydrologic systems
- (2016) Bakinam T. Essawy et al. Earth and Space Science
- A Matlab toolbox for Global Sensitivity Analysis
- (2015) Francesca Pianosi et al. ENVIRONMENTAL MODELLING & SOFTWARE
- HydroShare: Sharing Diverse Environmental Data Types and Models as Social Objects with Application to the Hydrology Domain
- (2015) Jeffery S. Horsburgh et al. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
- Promoting an open research culture
- (2015) B. A. Nosek et al. SCIENCE
- Reproducible Research in Vadose Zone Sciences
- (2015) T.H. Skaggs et al. VADOSE ZONE JOURNAL
- Do we need a Community Hydrological Model?
- (2015) Markus Weiler et al. WATER RESOURCES RESEARCH
- A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations
- (2015) G. Coxon et al. WATER RESOURCES RESEARCH
- How significant (p
- (2014) Christopher J. Hutton EARTH SURFACE PROCESSES AND LANDFORMS
- Towards more systematic perceptual model development: a case study using 3 Luxembourgish catchments
- (2014) Sebastian Wrede et al. HYDROLOGICAL PROCESSES
- Policy: NIH plans to enhance reproducibility
- (2014) Francis S. Collins et al. NATURE
- Publication bias in the social sciences: Unlocking the file drawer
- (2014) A. Franco et al. SCIENCE
- Surface-subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks
- (2014) Reed M. Maxwell et al. WATER RESOURCES RESEARCH
- On the future of journal publications in hydrology
- (2014) Günter Blöschl et al. WATER RESOURCES RESEARCH
- Essential Terrestrial Variable data workflows for distributed water resources modeling
- (2013) Lorne Leonard et al. ENVIRONMENTAL MODELLING & SOFTWARE
- An ontology for component-based models of water resource systems
- (2013) Mostafa Elag et al. WATER RESOURCES RESEARCH
- Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality
- (2012) Hilary McMillan et al. HYDROLOGICAL PROCESSES
- Replication studies: Bad copy
- (2012) Ed Yong NATURE
- Raise standards for preclinical cancer research
- (2012) C. Glenn Begley et al. NATURE
- Misconduct accounts for the majority of retracted scientific publications
- (2012) F. C. Fang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- When are multiobjective calibration trade-offs in hydrologic models meaningful?
- (2012) J. B. Kollat et al. WATER RESOURCES RESEARCH
- Believe it or not: how much can we rely on published data on potential drug targets?
- (2011) Florian Prinz et al. NATURE REVIEWS DRUG DISCOVERY
- Reproducible Research in Computational Science
- (2011) R. D. Peng SCIENCE
- Development and testing of the HYPE (Hydrological Predictions for the Environment) water quality model for different spatial scales
- (2010) Göran Lindström et al. HYDROLOGY RESEARCH
- Accessible Reproducible Research
- (2010) J. P. Mesirov SCIENCE
- Estimation of missing precipitation records integrating surface interpolation techniques and spatio-temporal association rules
- (2009) Ramesh S. V. Teegavarapu JOURNAL OF HYDROINFORMATICS
- Reproducible Research in Computational Harmonic Analysis
- (2008) David L. Donoho et al. COMPUTING IN SCIENCE & ENGINEERING
- Bringing Water Data Together
- (2008) David R. Maidment JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- A brief background on the U.S. Department of Agriculture Agricultural Research Service Walnut Gulch Experimental Watershed
- (2008) K. G. Renard et al. WATER RESOURCES RESEARCH
- Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models
- (2008) Martyn P. Clark et al. WATER RESOURCES RESEARCH
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started