Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4895-2017
© Author(s) 2017. 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-21-4895-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Sep 2017
Research article |
| 28 Sep 2017
Information content of stream level class data for hydrological model calibration
H. J. Ilja van Meerveld
CORRESPONDING AUTHOR
Department of Geography, University of Zurich, Zurich, Switzerland
Marc J. P. Vis
Department of Geography, University of Zurich, Zurich, Switzerland
Jan Seibert
Department of Geography, University of Zurich, Zurich, Switzerland
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Viewed
Total article views: 3,260 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,224 | 927 | 109 | 3,260 | 93 | 113 |
- HTML: 2,224
- PDF: 927
- XML: 109
- Total: 3,260
- BibTeX: 93
- EndNote: 113
Total article views: 2,479 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Sep 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,720 | 677 | 82 | 2,479 | 78 | 78 |
- HTML: 1,720
- PDF: 677
- XML: 82
- Total: 2,479
- BibTeX: 78
- EndNote: 78
Total article views: 781 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 504 | 250 | 27 | 781 | 15 | 35 |
- HTML: 504
- PDF: 250
- XML: 27
- Total: 781
- BibTeX: 15
- EndNote: 35
Viewed (geographical distribution)
Total article views: 3,260 (including HTML, PDF, and XML)
Thereof 3,126 with geography defined
and 134 with unknown origin.
Total article views: 2,479 (including HTML, PDF, and XML)
Thereof 2,369 with geography defined
and 110 with unknown origin.
Total article views: 781 (including HTML, PDF, and XML)
Thereof 757 with geography defined
and 24 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
36 citations as recorded by crossref.
- Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin P. Hulsman et al. 10.5194/hess-22-5081-2018
- Citizen science flow – an assessment of simple streamflow measurement methods J. Davids et al. 10.5194/hess-23-1045-2019
- Virtual Staff Gauges for Crowd-Based Stream Level Observations J. Seibert et al. 10.3389/feart.2019.00070
- The potential of proxy water level measurements for calibrating urban pluvial flood models M. Moy de Vitry & J. Leitão 10.1016/j.watres.2020.115669
- Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network M. Moy de Vitry et al. 10.5194/hess-23-4621-2019
- Regionalization methods in ungauged catchments for flow prediction: review and its recent developments N. Singh & T. Devi 10.1007/s12517-022-10287-z
- A brief history of information and disinformation in hydrological data and the impact on the evaluation of hydrological models K. Beven 10.1080/02626667.2024.2332616
- Rainfall‐Runoff Modeling Using Crowdsourced Water Level Data B. Weeser et al. 10.1029/2019WR025248
- Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning R. Vandaele et al. 10.5194/hess-25-4435-2021
- Testing the theoretical principles of citizen science in monitoring stream water levels through photo-trap frames A. Spasiano et al. 10.3389/frwa.2023.1050378
- Extrapolating regional probability of drying of headwater streams using discrete observations and gauging networks A. Beaufort et al. 10.5194/hess-22-3033-2018
- Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects N. Njue et al. 10.1016/j.scitotenv.2019.07.337
- Application of 2D numerical simulation for rating curve development and inundation area mapping: a case study of monsoon dominated Dwarkeswar river S. Malik & S. Pal 10.1080/15715124.2020.1738447
- Value of quality controlled citizen science data for rainfall-runoff characterization in a rapidly urbanizing catchment G. Kebede Mengistie et al. 10.1016/j.jhydrol.2024.130639
- Growing Pains of Crowdsourced Stream Stage Monitoring Using Mobile Phones: The Development of CrowdHydrology C. Lowry et al. 10.3389/feart.2019.00128
- A water-level based calibration of rainfall-runoff models constrained by regionalized discharge indices J. Jian et al. 10.1016/j.jhydrol.2021.126937
- Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping A. Annis & F. Nardi 10.1080/10095020.2019.1626135
- Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017) D. Viero 10.5194/hess-22-171-2018
- Improving Hydrological Models With the Assimilation of Crowdsourced Data P. Avellaneda et al. 10.1029/2019WR026325
- Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
- Evaluation of regionalization parameters for stream flow prediction in ungauged catchments of Rift Valley Lakes Basin, Ethiopia Z. Mada et al. 10.1007/s40808-024-01977-6
- Value of uncertain streamflow observations for hydrological modelling S. Etter et al. 10.5194/hess-22-5243-2018
- Calibrating a hydrological model in ungauged small river basins of the northeastern Tibetan Plateau based on near-infrared images Z. Yu et al. 10.1016/j.jhydrol.2023.129158
- Assessment of the Value of Remotely Sensed Surface Water Extent Data for the Calibration of a Lumped Hydrological Model A. Meyer Oliveira et al. 10.1029/2023WR034875
- Are temporary stream observations useful for calibrating a lumped hydrological model? M. Scheller et al. 10.1016/j.jhydrol.2024.130686
- A classification approach to reconstruct local daily drying dynamics at headwater streams A. Beaufort et al. 10.1002/hyp.13445
- Improving calibration of groundwater flow models using headwater streamflow intermittence R. Abhervé et al. 10.1002/hyp.15167
- Training citizen scientists through an online game developed for data quality control B. Strobl et al. 10.5194/gc-3-109-2020
- How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
- Assimilation of citizen science data in snowpack modeling using a new snow data set: Community Snow Observations R. Crumley et al. 10.5194/hess-25-4651-2021
- Upper and lower benchmarks in hydrological modelling J. Seibert et al. 10.1002/hyp.11476
- Accuracy of crowdsourced streamflow and stream level class estimates B. Strobl et al. 10.1080/02626667.2019.1578966
- Detecting the short term impact of soil and water conservation practices using stage as a proxy for discharge—A case‐study from the Tana sub‐basin, Ethiopia L. Weldegebriel et al. 10.1002/ldr.3750
- A short history of philosophies of hydrological model evaluation and hypothesis testing K. Beven 10.1002/wat2.1761
- Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring B. Weeser et al. 10.1016/j.scitotenv.2018.03.130
- Automatic water-level class estimation from repeated crowd-based photos of streams Z. Wang et al. 10.1080/02626667.2023.2240312
35 citations as recorded by crossref.
- Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin P. Hulsman et al. 10.5194/hess-22-5081-2018
- Citizen science flow – an assessment of simple streamflow measurement methods J. Davids et al. 10.5194/hess-23-1045-2019
- Virtual Staff Gauges for Crowd-Based Stream Level Observations J. Seibert et al. 10.3389/feart.2019.00070
- The potential of proxy water level measurements for calibrating urban pluvial flood models M. Moy de Vitry & J. Leitão 10.1016/j.watres.2020.115669
- Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network M. Moy de Vitry et al. 10.5194/hess-23-4621-2019
- Regionalization methods in ungauged catchments for flow prediction: review and its recent developments N. Singh & T. Devi 10.1007/s12517-022-10287-z
- A brief history of information and disinformation in hydrological data and the impact on the evaluation of hydrological models K. Beven 10.1080/02626667.2024.2332616
- Rainfall‐Runoff Modeling Using Crowdsourced Water Level Data B. Weeser et al. 10.1029/2019WR025248
- Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning R. Vandaele et al. 10.5194/hess-25-4435-2021
- Testing the theoretical principles of citizen science in monitoring stream water levels through photo-trap frames A. Spasiano et al. 10.3389/frwa.2023.1050378
- Extrapolating regional probability of drying of headwater streams using discrete observations and gauging networks A. Beaufort et al. 10.5194/hess-22-3033-2018
- Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects N. Njue et al. 10.1016/j.scitotenv.2019.07.337
- Application of 2D numerical simulation for rating curve development and inundation area mapping: a case study of monsoon dominated Dwarkeswar river S. Malik & S. Pal 10.1080/15715124.2020.1738447
- Value of quality controlled citizen science data for rainfall-runoff characterization in a rapidly urbanizing catchment G. Kebede Mengistie et al. 10.1016/j.jhydrol.2024.130639
- Growing Pains of Crowdsourced Stream Stage Monitoring Using Mobile Phones: The Development of CrowdHydrology C. Lowry et al. 10.3389/feart.2019.00128
- A water-level based calibration of rainfall-runoff models constrained by regionalized discharge indices J. Jian et al. 10.1016/j.jhydrol.2021.126937
- Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping A. Annis & F. Nardi 10.1080/10095020.2019.1626135
- Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017) D. Viero 10.5194/hess-22-171-2018
- Improving Hydrological Models With the Assimilation of Crowdsourced Data P. Avellaneda et al. 10.1029/2019WR026325
- Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
- Evaluation of regionalization parameters for stream flow prediction in ungauged catchments of Rift Valley Lakes Basin, Ethiopia Z. Mada et al. 10.1007/s40808-024-01977-6
- Value of uncertain streamflow observations for hydrological modelling S. Etter et al. 10.5194/hess-22-5243-2018
- Calibrating a hydrological model in ungauged small river basins of the northeastern Tibetan Plateau based on near-infrared images Z. Yu et al. 10.1016/j.jhydrol.2023.129158
- Assessment of the Value of Remotely Sensed Surface Water Extent Data for the Calibration of a Lumped Hydrological Model A. Meyer Oliveira et al. 10.1029/2023WR034875
- Are temporary stream observations useful for calibrating a lumped hydrological model? M. Scheller et al. 10.1016/j.jhydrol.2024.130686
- A classification approach to reconstruct local daily drying dynamics at headwater streams A. Beaufort et al. 10.1002/hyp.13445
- Improving calibration of groundwater flow models using headwater streamflow intermittence R. Abhervé et al. 10.1002/hyp.15167
- Training citizen scientists through an online game developed for data quality control B. Strobl et al. 10.5194/gc-3-109-2020
- How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
- Assimilation of citizen science data in snowpack modeling using a new snow data set: Community Snow Observations R. Crumley et al. 10.5194/hess-25-4651-2021
- Upper and lower benchmarks in hydrological modelling J. Seibert et al. 10.1002/hyp.11476
- Accuracy of crowdsourced streamflow and stream level class estimates B. Strobl et al. 10.1080/02626667.2019.1578966
- Detecting the short term impact of soil and water conservation practices using stage as a proxy for discharge—A case‐study from the Tana sub‐basin, Ethiopia L. Weldegebriel et al. 10.1002/ldr.3750
- A short history of philosophies of hydrological model evaluation and hypothesis testing K. Beven 10.1002/wat2.1761
- Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring B. Weeser et al. 10.1016/j.scitotenv.2018.03.130
1 citations as recorded by crossref.
Latest update: 30 Dec 2024
Short summary
We tested the usefulness of stream level class data for hydrological model calibration. Only two stream level classes, e.g. above or below a rock in the stream, were already informative, particularly when the boundary was chosen at a high stream level. There was hardly any improvement in model performance when using more than five stream level classes. These results suggest that model based streamflow time series can be obtained from citizen science based water level class data.
We tested the usefulness of stream level class data for hydrological model calibration. Only two...
