Value of a Limited Number of Discharge Observations for Improving Regionalization: A Large-Sample Study Across the United States
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Value of a Limited Number of Discharge Observations for Improving Regionalization: A Large-Sample Study Across the United States
Authors
Keywords
-
Journal
WATER RESOURCES RESEARCH
Volume -, Issue -, Pages -
Publisher
American Geophysical Union (AGU)
Online
2018-12-28
DOI
10.1029/2018wr023855
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Upper and lower benchmarks in hydrological modelling
- (2018) Jan Seibert et al. HYDROLOGICAL PROCESSES
- Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency
- (2018) Sandra Pool et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Runoff prediction in ungauged catchments in Norway: comparison of regionalization approaches
- (2017) Xue Yang et al. HYDROLOGY RESEARCH
- Prediction of hydrographs and flow-duration curves in almost ungauged catchments: Which runoff measurements are most informative for model calibration?
- (2017) Sandra Pool et al. JOURNAL OF HYDROLOGY
- Runoff prediction in ungauged catchments in Norway: comparison of regionalization approaches
- (2017) Xue Yang et al. Hydrology Research
- On evaluating the robustness of spatial-proximity-based regionalization methods
- (2016) Laure Lebecherel et al. JOURNAL OF HYDROLOGY
- How should a rainfall-runoff model be parameterized in an almost ungauged catchment? A methodology tested on 609 catchments
- (2016) Claudia Rojas-Serna et al. WATER RESOURCES RESEARCH
- Gauging the Ungauged Basin: Relative Value of Soft and Hard Data
- (2015) J. Seibert et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Can a regionalized model parameterisation be improved with a limited number of runoff measurements?
- (2015) Daniel Viviroli et al. JOURNAL OF HYDROLOGY
- Continuous streamflow prediction in ungauged basins: The effects of equifinality and parameter set selection on uncertainty in regionalization approaches
- (2014) Richard Arsenault et al. WATER RESOURCES RESEARCH
- Catchments as simple dynamical systems: A case study on methods and data requirements for parameter identification
- (2014) L. A. Melsen et al. WATER RESOURCES RESEARCH
- A decade of Predictions in Ungauged Basins (PUB)—a review
- (2013) M. Hrachowitz et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Calibration of hydrological models on hydrologically unusual events
- (2012) Shailesh Kumar Singh et al. ADVANCES IN WATER RESOURCES
- Streamflow Prediction in Ungauged Basins: Review of Regionalization Methods
- (2012) Tara Razavi et al. JOURNAL OF HYDROLOGIC ENGINEERING
- On red herrings and real herrings: disinformation and information in hydrological inference
- (2011) Keith Beven et al. HYDROLOGICAL PROCESSES
- Estimation of Continuous Streamflow in Ontario Ungauged Basins: Comparison of Regionalization Methods
- (2011) Jos Samuel et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Continuous simulation for flood estimation in ungauged mesoscale catchments of Switzerland – Part II: Parameter regionalisation and flood estimation results
- (2009) Daniel Viviroli et al. JOURNAL OF HYDROLOGY
- Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
- (2009) Hoshin V. Gupta et al. JOURNAL OF HYDROLOGY
- Relative merits of different methods for runoff predictions in ungauged catchments
- (2009) Yongqiang Zhang et al. WATER RESOURCES RESEARCH
- Regionalization as a learning process
- (2009) Wouter Buytaert et al. WATER RESOURCES RESEARCH
- Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments
- (2008) Ludovic Oudin et al. WATER RESOURCES RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started