Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5243-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-5243-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Oct 2018
Research article |
| 15 Oct 2018
| 15 Oct 2018
Value of uncertain streamflow observations for hydrological modelling
Department of Geography, University of Zurich, Winterthurerstrasse
190, 8057 Zurich, Switzerland
Barbara Strobl
Department of Geography, University of Zurich, Winterthurerstrasse
190, 8057 Zurich, Switzerland
Jan Seibert
Department of Geography, University of Zurich, Winterthurerstrasse
190, 8057 Zurich, Switzerland
Department of Aquatic Sciences and Assessment,
Swedish University of Agricultural Sciences, P.O. Box 7050, 75007 Uppsala, Sweden.
H. J. Ilja van Meerveld
Department of Geography, University of Zurich, Winterthurerstrasse
190, 8057 Zurich, Switzerland
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Cited
21 citations as recorded by crossref.
- Citizen science flow – an assessment of simple streamflow measurement methods J. Davids et al. 10.5194/hess-23-1045-2019
- Training citizen scientists through an online game developed for data quality control B. Strobl et al. 10.5194/gc-3-109-2020
- Quality and timing of crowd‐based water level class observations S. Etter et al. 10.1002/hyp.13864
- Rainfall‐Runoff Modeling Using Crowdsourced Water Level Data B. Weeser et al. 10.1029/2019WR025248
- Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges F. Nardi et al. 10.1080/02626667.2020.1849707
- Assessment of antecedent moisture condition on flood frequency: An experimental study in Napa River Basin, CA J. Kim et al. 10.1016/j.ejrh.2019.100629
- Multi-variable calibration of hydrological model in the upper Omo-Gibe basin, Ethiopia M. Nesru et al. 10.1007/s11600-020-00417-0
- Accuracy of crowdsourced streamflow and stream level class estimates B. Strobl et al. 10.1080/02626667.2019.1578966
- Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
- The CrowdWater game: A playful way to improve the accuracy of crowdsourced water level class data B. Strobl et al. 10.1371/journal.pone.0222579
- Estimating Reservoir Inflow and Outflow From Water Level Observations Using Expert Knowledge: Dealing With an Ill‐Posed Water Balance Equation in Reservoir Management J. Song et al. 10.1029/2020WR028183
- Bridge over changing waters–Citizen science for detecting the impacts of climate change on water J. Seibert et al. 10.1371/journal.pclm.0000088
- 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
- iWetland: A Community Science Platform for Monitoring Wetland Water Levels T. North et al. 10.5334/cstp.448
- An observation-driven optimization method for continuous estimation of evaporative fraction over large heterogeneous areas W. Zhu et al. 10.1016/j.rse.2020.111887
- Evaluation of Select Velocity Measurement Techniques for Estimating Discharge in Small Streams across the United States T. King et al. 10.1111/1752-1688.13053
- A comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functions N. Rodriguez et al. 10.5194/hess-25-401-2021
- Flow alteration by diversion hydropower in tributaries to the Salween river: a comparative analysis of two streamflow prediction methodologies M. Alipour et al. 10.1080/15715124.2020.1760289
- Citizen science data to improve rainfall-runoff model performance in urbanizing Akaki catchment, Awash Basin, Ethiopia G. Mengistie et al. 10.1016/j.ejrh.2024.101822
- Streamflow Prediction in Poorly Gauged Watersheds in the United States Through Data‐Driven Sparse Sensing K. Zhang et al. 10.1029/2022WR034092
- Virtual Staff Gauges for Crowd-Based Stream Level Observations J. Seibert et al. 10.3389/feart.2019.00070
20 citations as recorded by crossref.
- Citizen science flow – an assessment of simple streamflow measurement methods J. Davids et al. 10.5194/hess-23-1045-2019
- Training citizen scientists through an online game developed for data quality control B. Strobl et al. 10.5194/gc-3-109-2020
- Quality and timing of crowd‐based water level class observations S. Etter et al. 10.1002/hyp.13864
- Rainfall‐Runoff Modeling Using Crowdsourced Water Level Data B. Weeser et al. 10.1029/2019WR025248
- Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges F. Nardi et al. 10.1080/02626667.2020.1849707
- Assessment of antecedent moisture condition on flood frequency: An experimental study in Napa River Basin, CA J. Kim et al. 10.1016/j.ejrh.2019.100629
- Multi-variable calibration of hydrological model in the upper Omo-Gibe basin, Ethiopia M. Nesru et al. 10.1007/s11600-020-00417-0
- Accuracy of crowdsourced streamflow and stream level class estimates B. Strobl et al. 10.1080/02626667.2019.1578966
- Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
- The CrowdWater game: A playful way to improve the accuracy of crowdsourced water level class data B. Strobl et al. 10.1371/journal.pone.0222579
- Estimating Reservoir Inflow and Outflow From Water Level Observations Using Expert Knowledge: Dealing With an Ill‐Posed Water Balance Equation in Reservoir Management J. Song et al. 10.1029/2020WR028183
- Bridge over changing waters–Citizen science for detecting the impacts of climate change on water J. Seibert et al. 10.1371/journal.pclm.0000088
- 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
- iWetland: A Community Science Platform for Monitoring Wetland Water Levels T. North et al. 10.5334/cstp.448
- An observation-driven optimization method for continuous estimation of evaporative fraction over large heterogeneous areas W. Zhu et al. 10.1016/j.rse.2020.111887
- Evaluation of Select Velocity Measurement Techniques for Estimating Discharge in Small Streams across the United States T. King et al. 10.1111/1752-1688.13053
- A comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functions N. Rodriguez et al. 10.5194/hess-25-401-2021
- Flow alteration by diversion hydropower in tributaries to the Salween river: a comparative analysis of two streamflow prediction methodologies M. Alipour et al. 10.1080/15715124.2020.1760289
- Citizen science data to improve rainfall-runoff model performance in urbanizing Akaki catchment, Awash Basin, Ethiopia G. Mengistie et al. 10.1016/j.ejrh.2024.101822
- Streamflow Prediction in Poorly Gauged Watersheds in the United States Through Data‐Driven Sparse Sensing K. Zhang et al. 10.1029/2022WR034092
1 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
To evaluate the potential value of streamflow estimates for hydrological model calibration, we created synthetic streamflow datasets in various temporal resolutions based on the errors in streamflow estimates of 136 citizens. Our results show that streamflow estimates of untrained citizens are too inaccurate to be useful for model calibration. If, however, the errors can be reduced by training or filtering, the estimates become useful if also a sufficient number of estimates are available.
To evaluate the potential value of streamflow estimates for hydrological model calibration, we...
