Articles | Volume 17, issue 11
https://doi.org/10.5194/hess-17-4577-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-4577-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
19 Nov 2013
Research article | Highlight paper |
| 19 Nov 2013
Inverse streamflow routing
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
E. F. Wood
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
Viewed
Total article views: 5,969 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Jun 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,851 | 1,943 | 175 | 5,969 | 138 | 121 |
- HTML: 3,851
- PDF: 1,943
- XML: 175
- Total: 5,969
- BibTeX: 138
- EndNote: 121
Total article views: 4,983 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Nov 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,445 | 1,387 | 151 | 4,983 | 123 | 111 |
- HTML: 3,445
- PDF: 1,387
- XML: 151
- Total: 4,983
- BibTeX: 123
- EndNote: 111
Total article views: 986 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Jun 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 406 | 556 | 24 | 986 | 15 | 10 |
- HTML: 406
- PDF: 556
- XML: 24
- Total: 986
- BibTeX: 15
- EndNote: 10
Cited
27 citations as recorded by crossref.
- Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S. Tian et al. 10.1029/2021WR031649
- Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling H. Yan & H. Moradkhani 10.1016/j.advwatres.2016.06.002
- Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 2: Total Water Storage Change and River Discharge Estimation v. Pellet et al. 10.1029/2020WR028648
- Global patterns in river water storage dependent on residence time E. Collins et al. 10.1038/s41561-024-01421-5
- Enhancing SWOT discharge assimilation through spatiotemporal correlations Y. Yang et al. 10.1016/j.rse.2019.111450
- Evaluating 3 decades of precipitation in the Upper Colorado River basin from a high-resolution regional climate model W. Rudisill et al. 10.5194/gmd-16-6531-2023
- An experimental seasonal hydrological forecasting system over the Yellow River basin – Part 2: The added value from climate forecast models X. Yuan 10.5194/hess-20-2453-2016
- Spatiotemporal assimilation–interpolation of discharge records through inverse streamflow routing C. Fisher et al. 10.5194/hess-24-293-2020
- A digital twin model for contaminant fate and transport in urban and natural drainage networks with online state estimation M. Kim & M. Bartos 10.1016/j.envsoft.2023.105868
- River discharge estimation at daily resolution from satellite altimetry over an entire river basin M. Tourian et al. 10.1016/j.jhydrol.2017.01.009
- How Do Modeling Decisions Affect the Spread Among Hydrologic Climate Change Projections? Exploring a Large Ensemble of Simulations Across a Diversity of Hydroclimates O. Chegwidden et al. 10.1029/2018EF001047
- Operational aspects of asynchronous filtering for flood forecasting O. Rakovec et al. 10.5194/hess-19-2911-2015
- Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning T. Bindas et al. 10.1029/2023WR035337
- Underlying Fundamentals of Kalman Filtering for River Network Modeling C. Emery et al. 10.1175/JHM-D-19-0084.1
- A first continuous and distributed satellite-based mapping of river discharge over the Amazon V. Pellet et al. 10.1016/j.jhydrol.2022.128481
- Statistical Mapping of Freshwater Origin and Fate Signatures as Land/Ocean “Regions of Influence” in the Gulf of Mexico S. Fournier et al. 10.1029/2018JC014784
- Flow Duration Curve from Satellite: Potential of a Lifetime SWOT Mission A. Domeneghetti et al. 10.3390/rs10071107
- Comparing Evapotranspiration from Eddy Covariance Measurements, Water Budgets, Remote Sensing, and Land Surface Models over Canadaa,b S. Wang et al. 10.1175/JHM-D-14-0189.1
- A distributed simple dynamical systems approach (dS2 v1.0) for computationally efficient hydrological modelling at high spatio-temporal resolution J. Buitink et al. 10.5194/gmd-13-6093-2020
- Flood and drought hydrologic monitoring: the role of model parameter uncertainty N. Chaney et al. 10.5194/hess-19-3239-2015
- An inverse method for watershed change detection using hybrid conceptual and artificial intelligence approaches V. Nourani et al. 10.1016/j.jhydrol.2018.05.018
- Improving streamflow predictions at ungauged locations with real-time updating: application of an EnKF-based state-parameter estimation strategy X. Xie et al. 10.5194/hess-18-3923-2014
- Steeper temporal distribution of rain intensity at higher temperatures within Australian storms C. Wasko & A. Sharma 10.1038/ngeo2456
- In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics Y. Yang et al. 10.1029/2018WR024178
- The Event-specific Geomorphological Instantaneous Unit Hydrograph (E-GIUH): The basin hydrological response characteristic of a flood event H. Andrieu et al. 10.1016/j.jhydrol.2021.127158
- Estimating River Depth from SWOT-Type Observables Obtained by Satellite Altimetry and Imagery M. Tourian et al. 10.3390/w9100753
- Improving streamflow predictions at ungauged locations with real-time updating: application of an EnKF-based state-parameter estimation strategy X. Xie et al. 10.5194/hessd-10-13441-2013
26 citations as recorded by crossref.
- Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S. Tian et al. 10.1029/2021WR031649
- Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling H. Yan & H. Moradkhani 10.1016/j.advwatres.2016.06.002
- Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 2: Total Water Storage Change and River Discharge Estimation v. Pellet et al. 10.1029/2020WR028648
- Global patterns in river water storage dependent on residence time E. Collins et al. 10.1038/s41561-024-01421-5
- Enhancing SWOT discharge assimilation through spatiotemporal correlations Y. Yang et al. 10.1016/j.rse.2019.111450
- Evaluating 3 decades of precipitation in the Upper Colorado River basin from a high-resolution regional climate model W. Rudisill et al. 10.5194/gmd-16-6531-2023
- An experimental seasonal hydrological forecasting system over the Yellow River basin – Part 2: The added value from climate forecast models X. Yuan 10.5194/hess-20-2453-2016
- Spatiotemporal assimilation–interpolation of discharge records through inverse streamflow routing C. Fisher et al. 10.5194/hess-24-293-2020
- A digital twin model for contaminant fate and transport in urban and natural drainage networks with online state estimation M. Kim & M. Bartos 10.1016/j.envsoft.2023.105868
- River discharge estimation at daily resolution from satellite altimetry over an entire river basin M. Tourian et al. 10.1016/j.jhydrol.2017.01.009
- How Do Modeling Decisions Affect the Spread Among Hydrologic Climate Change Projections? Exploring a Large Ensemble of Simulations Across a Diversity of Hydroclimates O. Chegwidden et al. 10.1029/2018EF001047
- Operational aspects of asynchronous filtering for flood forecasting O. Rakovec et al. 10.5194/hess-19-2911-2015
- Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning T. Bindas et al. 10.1029/2023WR035337
- Underlying Fundamentals of Kalman Filtering for River Network Modeling C. Emery et al. 10.1175/JHM-D-19-0084.1
- A first continuous and distributed satellite-based mapping of river discharge over the Amazon V. Pellet et al. 10.1016/j.jhydrol.2022.128481
- Statistical Mapping of Freshwater Origin and Fate Signatures as Land/Ocean “Regions of Influence” in the Gulf of Mexico S. Fournier et al. 10.1029/2018JC014784
- Flow Duration Curve from Satellite: Potential of a Lifetime SWOT Mission A. Domeneghetti et al. 10.3390/rs10071107
- Comparing Evapotranspiration from Eddy Covariance Measurements, Water Budgets, Remote Sensing, and Land Surface Models over Canadaa,b S. Wang et al. 10.1175/JHM-D-14-0189.1
- A distributed simple dynamical systems approach (dS2 v1.0) for computationally efficient hydrological modelling at high spatio-temporal resolution J. Buitink et al. 10.5194/gmd-13-6093-2020
- Flood and drought hydrologic monitoring: the role of model parameter uncertainty N. Chaney et al. 10.5194/hess-19-3239-2015
- An inverse method for watershed change detection using hybrid conceptual and artificial intelligence approaches V. Nourani et al. 10.1016/j.jhydrol.2018.05.018
- Improving streamflow predictions at ungauged locations with real-time updating: application of an EnKF-based state-parameter estimation strategy X. Xie et al. 10.5194/hess-18-3923-2014
- Steeper temporal distribution of rain intensity at higher temperatures within Australian storms C. Wasko & A. Sharma 10.1038/ngeo2456
- In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics Y. Yang et al. 10.1029/2018WR024178
- The Event-specific Geomorphological Instantaneous Unit Hydrograph (E-GIUH): The basin hydrological response characteristic of a flood event H. Andrieu et al. 10.1016/j.jhydrol.2021.127158
- Estimating River Depth from SWOT-Type Observables Obtained by Satellite Altimetry and Imagery M. Tourian et al. 10.3390/w9100753
Saved (final revised paper)
Latest update: 16 Jul 2024
