Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2981-2020
© Author(s) 2020. 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-24-2981-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jun 2020
Research article |
| 08 Jun 2020
| 08 Jun 2020
Impact of downscaled rainfall biases on projected runoff changes
Stephen P. Charles
CORRESPONDING AUTHOR
CSIRO Land and Water, Floreat WA 6148, Australia
Francis H. S. Chiew
CSIRO Land and Water, Canberra ACT 2601, Australia
Nicholas J. Potter
CSIRO Land and Water, Canberra ACT 2601, Australia
Hongxing Zheng
CSIRO Land and Water, Canberra ACT 2601, Australia
Guobin Fu
CSIRO Land and Water, Floreat WA 6148, Australia
Lu Zhang
CSIRO Land and Water, Canberra ACT 2601, Australia
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Cited
20 citations as recorded by crossref.
- Adapting Water Management to Climate Change in the Murray–Darling Basin, Australia I. Prosser et al. 10.3390/w13182504
- A Global Climate Model Performance Atlas for the Southern Hemisphere Extratropics Based on Regional Atmospheric Circulation Patterns S. Brands et al. 10.1029/2023GL103531
- Changes in and Modelling of Hydrological Process for a Semi-Arid Catchment in the Context of Human Disturbance Y. Liu et al. 10.3389/feart.2021.759534
- An evaluation framework for downscaling and bias correction in climate change impact studies E. Vogel et al. 10.1016/j.jhydrol.2023.129693
- Producing reliable hydrologic scenarios from raw climate model outputs without resorting to meteorological observations S. Ricard et al. 10.5194/hess-27-2375-2023
- Evaluating skills and issues of quantile-based bias adjustment for climate change scenarios F. Lehner et al. 10.5194/ascmo-9-29-2023
- Assessing future runoff changes with different potential evapotranspiration inputs based on multi-model ensemble of CMIP5 projections L. Shi et al. 10.1016/j.jhydrol.2022.128042
- How sensitive are catchment runoff estimates to on-farm storages under current and future climates? D. Robertson et al. 10.1016/j.jhydrol.2023.130185
- Investigating the influences of climate change on drought in a small data-scarce river catchment F. Wambura 10.2166/wcc.2023.291
- Considerations in designing climate change assessments for complex, non-linear hydrological systems F. Johnson et al. 10.1016/j.jhydrol.2024.132182
- Projections of future streamflow for Australia informed by CMIP6 and previous generations of global climate models H. Zheng et al. 10.1016/j.jhydrol.2024.131286
- WITHDRAWN: Incorporating IMERG satellite precipitation uncertainty into seasonal and peak streamflow predictions using the Hillslope Link hydrological model S. Hartke et al. 10.1016/j.jhydrol.2022.129012
- Different Hydroclimate Modelling Approaches Can Lead to a Large Range of Streamflow Projections under Climate Change: Implications for Water Resources Management F. Chiew et al. 10.3390/w14172730
- Trends and variability of rainfall characteristics influencing annual streamflow: A case study of southeast Australia G. Fu et al. 10.1002/joc.7923
- Incorporating IMERG satellite precipitation uncertainty into seasonal and peak streamflow predictions using the Hillslope Link hydrological model S. Hartke et al. 10.1016/j.hydroa.2023.100148
- Adapting rainfall bias-corrections to improve hydrological simulations generated from climate model forcings D. Robertson et al. 10.1016/j.jhydrol.2023.129322
- Disentangling aggregated uncertainty sources in peak flow projections under different climate scenarios H. Meresa et al. 10.1016/j.jhydrol.2022.128426
- An Integrated Modeling Framework in Projections of Hydrological Extremes H. Meresa et al. 10.1007/s10712-022-09737-w
- Climate change impact on extreme precipitation and peak flood magnitude and frequency: observations from CMIP6 and hydrological models H. Meresa et al. 10.1007/s11069-021-05152-3
- Implication of bias correction on climate change impact projection of surface water resources in the Gidabo sub-basin, Southern Ethiopia A. Worako et al. 10.2166/wcc.2022.396
16 citations as recorded by crossref.
- Adapting Water Management to Climate Change in the Murray–Darling Basin, Australia I. Prosser et al. 10.3390/w13182504
- A Global Climate Model Performance Atlas for the Southern Hemisphere Extratropics Based on Regional Atmospheric Circulation Patterns S. Brands et al. 10.1029/2023GL103531
- Changes in and Modelling of Hydrological Process for a Semi-Arid Catchment in the Context of Human Disturbance Y. Liu et al. 10.3389/feart.2021.759534
- An evaluation framework for downscaling and bias correction in climate change impact studies E. Vogel et al. 10.1016/j.jhydrol.2023.129693
- Producing reliable hydrologic scenarios from raw climate model outputs without resorting to meteorological observations S. Ricard et al. 10.5194/hess-27-2375-2023
- Evaluating skills and issues of quantile-based bias adjustment for climate change scenarios F. Lehner et al. 10.5194/ascmo-9-29-2023
- Assessing future runoff changes with different potential evapotranspiration inputs based on multi-model ensemble of CMIP5 projections L. Shi et al. 10.1016/j.jhydrol.2022.128042
- How sensitive are catchment runoff estimates to on-farm storages under current and future climates? D. Robertson et al. 10.1016/j.jhydrol.2023.130185
- Investigating the influences of climate change on drought in a small data-scarce river catchment F. Wambura 10.2166/wcc.2023.291
- Considerations in designing climate change assessments for complex, non-linear hydrological systems F. Johnson et al. 10.1016/j.jhydrol.2024.132182
- Projections of future streamflow for Australia informed by CMIP6 and previous generations of global climate models H. Zheng et al. 10.1016/j.jhydrol.2024.131286
- WITHDRAWN: Incorporating IMERG satellite precipitation uncertainty into seasonal and peak streamflow predictions using the Hillslope Link hydrological model S. Hartke et al. 10.1016/j.jhydrol.2022.129012
- Different Hydroclimate Modelling Approaches Can Lead to a Large Range of Streamflow Projections under Climate Change: Implications for Water Resources Management F. Chiew et al. 10.3390/w14172730
- Trends and variability of rainfall characteristics influencing annual streamflow: A case study of southeast Australia G. Fu et al. 10.1002/joc.7923
- Incorporating IMERG satellite precipitation uncertainty into seasonal and peak streamflow predictions using the Hillslope Link hydrological model S. Hartke et al. 10.1016/j.hydroa.2023.100148
- Adapting rainfall bias-corrections to improve hydrological simulations generated from climate model forcings D. Robertson et al. 10.1016/j.jhydrol.2023.129322
4 citations as recorded by crossref.
- Disentangling aggregated uncertainty sources in peak flow projections under different climate scenarios H. Meresa et al. 10.1016/j.jhydrol.2022.128426
- An Integrated Modeling Framework in Projections of Hydrological Extremes H. Meresa et al. 10.1007/s10712-022-09737-w
- Climate change impact on extreme precipitation and peak flood magnitude and frequency: observations from CMIP6 and hydrological models H. Meresa et al. 10.1007/s11069-021-05152-3
- Implication of bias correction on climate change impact projection of surface water resources in the Gidabo sub-basin, Southern Ethiopia A. Worako et al. 10.2166/wcc.2022.396
Latest update: 14 Dec 2024
Short summary
This paper assesses the suitability of bias-corrected (BC) WRF daily rainfall across the state of Victoria, Australia, for input to hydrological models to determine plausible climate change impacts on runoff. It compares rainfall and runoff changes using BC WRF with those obtained from empirical scaling (ES) using raw WRF changes. It concludes that BC-derived changes are more plausible than ES-derived changes but that remaining biases in BC WRF daily data add uncertainty to runoff projections.
This paper assesses the suitability of bias-corrected (BC) WRF daily rainfall across the state...
