Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-5741-2018
© 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-22-5741-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Nov 2018
Research article |
| 08 Nov 2018
| 08 Nov 2018
Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow duration curves
US Geological Survey, Denver, Colorado, USA
Thomas M. Over
US Geological Survey, Urbana, Illinois, USA
Julie E. Kiang
US Geological Survey, Reston, Virginia, USA
Viewed
Total article views: 3,011 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Mar 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,923 | 1,029 | 59 | 3,011 | 68 | 64 |
- HTML: 1,923
- PDF: 1,029
- XML: 59
- Total: 3,011
- BibTeX: 68
- EndNote: 64
Total article views: 2,286 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Nov 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,440 | 796 | 50 | 2,286 | 52 | 51 |
- HTML: 1,440
- PDF: 796
- XML: 50
- Total: 2,286
- BibTeX: 52
- EndNote: 51
Total article views: 725 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Mar 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 483 | 233 | 9 | 725 | 16 | 13 |
- HTML: 483
- PDF: 233
- XML: 9
- Total: 725
- BibTeX: 16
- EndNote: 13
Viewed (geographical distribution)
Total article views: 3,011 (including HTML, PDF, and XML)
Thereof 2,803 with geography defined
and 208 with unknown origin.
Total article views: 2,286 (including HTML, PDF, and XML)
Thereof 2,102 with geography defined
and 184 with unknown origin.
Total article views: 725 (including HTML, PDF, and XML)
Thereof 701 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
18 citations as recorded by crossref.
- Advancing traditional strategies for testing hydrological model fitness in a changing climate A. Todorović et al. 10.1080/02626667.2022.2104646
- A national flood awareness system for ungauged catchments in complex topography: The case of development, communication and evaluation in New Zealand C. Cattoën et al. 10.1111/jfr3.12864
- Improving performance of bucket-type hydrological models in high latitudes with multi-model combination methods: Can we wring water from a stone? A. Todorović et al. 10.1016/j.jhydrol.2024.130829
- SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models R. Hales et al. 10.3390/hydrology9070113
- Species-Richness Responses to Water-Withdrawal Scenarios and Minimum Flow Levels: Evaluating Presumptive Standards in the Tennessee and Cumberland River Basins L. Driver et al. 10.3390/w12051334
- A coupled streamflow and water temperature (VIC-RBM-CE-QUAL-W2) model for the Nechako Reservoir S. Larabi et al. 10.1016/j.ejrh.2022.101237
- Comparative Evaluation of Five Hydrological Models in a Large-Scale and Tropical River Basin L. Ávila et al. 10.3390/w14193013
- Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales D. Feng et al. 10.1029/2019WR026793
- A Process-Conditioned and Spatially Consistent Method for Reducing Systematic Biases in Modeled Streamflow A. Bennett et al. 10.1175/JHM-D-21-0174.1
- Mean Squared Error, Deconstructed T. Hodson et al. 10.1029/2021MS002681
- Correcting streamflow bias considering its spatial structure for impact assessment of climate change on floods using d4PDF in the Chao Phraya River Basin, Thailand A. Budhathoki et al. 10.1016/j.ejrh.2022.101150
- Calibration of the US Geological Survey National Hydrologic Model in Ungauged Basins Using Statistical At-Site Streamflow Simulations W. Farmer et al. 10.1061/(ASCE)HE.1943-5584.0001854
- Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. 10.1016/j.jhydrol.2023.129607
- Bias correcting discharge simulations from the GEOGloWS global hydrologic model R. Hales et al. 10.1016/j.jhydrol.2023.130279
- Exploring the feasibility of Support Vector Machine for short-term hydrological forecasting in South Tyrol: challenges and prospects D. Dalla Torre et al. 10.1007/s42452-024-05819-z
- Improving streamflow prediction in the WRF-Hydro model with LSTM networks K. Cho & Y. Kim 10.1016/j.jhydrol.2021.127297
- A Streamflow Bias Correction and Performance Evaluation Web Application for GEOGloWS ECMWF Streamflow Services J. Sanchez Lozano et al. 10.3390/hydrology8020071
- Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote Sensing N. Nguyen et al. 10.3390/rs15184563
18 citations as recorded by crossref.
- Advancing traditional strategies for testing hydrological model fitness in a changing climate A. Todorović et al. 10.1080/02626667.2022.2104646
- A national flood awareness system for ungauged catchments in complex topography: The case of development, communication and evaluation in New Zealand C. Cattoën et al. 10.1111/jfr3.12864
- Improving performance of bucket-type hydrological models in high latitudes with multi-model combination methods: Can we wring water from a stone? A. Todorović et al. 10.1016/j.jhydrol.2024.130829
- SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models R. Hales et al. 10.3390/hydrology9070113
- Species-Richness Responses to Water-Withdrawal Scenarios and Minimum Flow Levels: Evaluating Presumptive Standards in the Tennessee and Cumberland River Basins L. Driver et al. 10.3390/w12051334
- A coupled streamflow and water temperature (VIC-RBM-CE-QUAL-W2) model for the Nechako Reservoir S. Larabi et al. 10.1016/j.ejrh.2022.101237
- Comparative Evaluation of Five Hydrological Models in a Large-Scale and Tropical River Basin L. Ávila et al. 10.3390/w14193013
- Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales D. Feng et al. 10.1029/2019WR026793
- A Process-Conditioned and Spatially Consistent Method for Reducing Systematic Biases in Modeled Streamflow A. Bennett et al. 10.1175/JHM-D-21-0174.1
- Mean Squared Error, Deconstructed T. Hodson et al. 10.1029/2021MS002681
- Correcting streamflow bias considering its spatial structure for impact assessment of climate change on floods using d4PDF in the Chao Phraya River Basin, Thailand A. Budhathoki et al. 10.1016/j.ejrh.2022.101150
- Calibration of the US Geological Survey National Hydrologic Model in Ungauged Basins Using Statistical At-Site Streamflow Simulations W. Farmer et al. 10.1061/(ASCE)HE.1943-5584.0001854
- Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. 10.1016/j.jhydrol.2023.129607
- Bias correcting discharge simulations from the GEOGloWS global hydrologic model R. Hales et al. 10.1016/j.jhydrol.2023.130279
- Exploring the feasibility of Support Vector Machine for short-term hydrological forecasting in South Tyrol: challenges and prospects D. Dalla Torre et al. 10.1007/s42452-024-05819-z
- Improving streamflow prediction in the WRF-Hydro model with LSTM networks K. Cho & Y. Kim 10.1016/j.jhydrol.2021.127297
- A Streamflow Bias Correction and Performance Evaluation Web Application for GEOGloWS ECMWF Streamflow Services J. Sanchez Lozano et al. 10.3390/hydrology8020071
- Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote Sensing N. Nguyen et al. 10.3390/rs15184563
Latest update: 29 Apr 2024
Short summary
This work observes that the result of streamflow simulation is often biased, especially with regards to extreme events, and proposes a novel technique to reduce this bias. By using parallel simulations of relative streamflow timing (sequencing) and the distribution of streamflow (magnitude), severe biases can be mitigated. Reducing this bias allows for improved utility of streamflow simulation for water resources management.
This work observes that the result of streamflow simulation is often biased, especially with...
