Articles | Volume 26, issue 6
https://doi.org/10.5194/hess-26-1545-2022
© Author(s) 2022. 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-26-1545-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Mar 2022
Research article |
| 23 Mar 2022
| 23 Mar 2022
Impact of correcting sub-daily climate model biases for hydrological studies
Mina Faghih
CORRESPONDING AUTHOR
Hydrology, Climate and Climate Change Laboratory, École de technologie supérieure, 1100 Notre-Dame West st., Montreal, H3C1K3, Canada
François Brissette
Hydrology, Climate and Climate Change Laboratory, École de technologie supérieure, 1100 Notre-Dame West st., Montreal, H3C1K3, Canada
Parham Sabeti
Hydrology, Climate and Climate Change Laboratory, École de technologie supérieure, 1100 Notre-Dame West st., Montreal, H3C1K3, Canada
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Cited
17 citations as recorded by crossref.
- Systematic diurnal bias of the CMA-MESO model in southern China: Characteristics and correction Y. Chen et al. 10.3389/feart.2023.1101809
- On the Use of Weather Generators for the Estimation of Low-Frequency Floods under a Changing Climate C. Beneyto et al. 10.3390/w16071059
- Bias correction of ERA5-Land temperature data using standalone and ensemble machine learning models: a case of northern Italy M. Niazkar et al. 10.2166/wcc.2023.669
- Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves A. Machard et al. 10.1038/s41597-024-03319-8
- Exploring the Added Value of Sub-Daily Bias Correction of High-Resolution Gridded Rainfall Datasets for Rainfall Erosivity Estimation R. Yonaba et al. 10.3390/hydrology11090132
- High-resolution gridded hourly precipitation dataset for Peru (PISCOp_h) A. Huerta et al. 10.1016/j.dib.2022.108570
- Climate change impact on flood hazard over Italy M. García-Valdecasas Ojeda et al. 10.1016/j.jhydrol.2022.128628
- High-resolution projections of outdoor thermal stress in the twenty-first century: a Tasmanian case study B. Weeding et al. 10.1007/s00484-024-02622-8
- Simulating streamflow in a transboundary river catchment: The implications of hybrid rainfall data F. Wambura 10.1016/j.pce.2024.103717
- Satellite rainfall bias correction incorporating effects on simulated crop water requirements C. Omondi et al. 10.1080/01431161.2024.2326801
- Successive warm-wet and warm-dry events in the Great Lakes Basin: future projections using CMIP6 models M. RahimiMovaghar et al. 10.1007/s00382-024-07565-9
- Evaluation of crop growth simulation by use of satellite rainfall estimates in Lake Victoria basin C. Omondi et al. 10.1016/j.agwat.2025.109731
- The role of internal climate variability on future streamflow projections M. Faghih & F. Brissette 10.1016/j.jhydrol.2023.130101
- A comprehensive comparison of bias correction methods in climate model simulations: Application on ERA5-Land across different temporal resolutions P. Dhawan et al. 10.1016/j.heliyon.2024.e40352
- Multi-decadal monsoon characteristics and glacier response in High Mountain Asia T. Shaw et al. 10.1088/1748-9326/ac9008
- A blueprint for coupling a hydrological model with fine- and coarse-scale atmospheric regional climate change models for probabilistic streamflow projections C. Rajulapati et al. 10.1016/j.jhydrol.2024.132080
- Using reanalysis precipitation data for developing intensity-duration-frequency curves in a poorly gauged city F. Wambura 10.1016/j.ejrh.2024.102005
17 citations as recorded by crossref.
- Systematic diurnal bias of the CMA-MESO model in southern China: Characteristics and correction Y. Chen et al. 10.3389/feart.2023.1101809
- On the Use of Weather Generators for the Estimation of Low-Frequency Floods under a Changing Climate C. Beneyto et al. 10.3390/w16071059
- Bias correction of ERA5-Land temperature data using standalone and ensemble machine learning models: a case of northern Italy M. Niazkar et al. 10.2166/wcc.2023.669
- Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves A. Machard et al. 10.1038/s41597-024-03319-8
- Exploring the Added Value of Sub-Daily Bias Correction of High-Resolution Gridded Rainfall Datasets for Rainfall Erosivity Estimation R. Yonaba et al. 10.3390/hydrology11090132
- High-resolution gridded hourly precipitation dataset for Peru (PISCOp_h) A. Huerta et al. 10.1016/j.dib.2022.108570
- Climate change impact on flood hazard over Italy M. García-Valdecasas Ojeda et al. 10.1016/j.jhydrol.2022.128628
- High-resolution projections of outdoor thermal stress in the twenty-first century: a Tasmanian case study B. Weeding et al. 10.1007/s00484-024-02622-8
- Simulating streamflow in a transboundary river catchment: The implications of hybrid rainfall data F. Wambura 10.1016/j.pce.2024.103717
- Satellite rainfall bias correction incorporating effects on simulated crop water requirements C. Omondi et al. 10.1080/01431161.2024.2326801
- Successive warm-wet and warm-dry events in the Great Lakes Basin: future projections using CMIP6 models M. RahimiMovaghar et al. 10.1007/s00382-024-07565-9
- Evaluation of crop growth simulation by use of satellite rainfall estimates in Lake Victoria basin C. Omondi et al. 10.1016/j.agwat.2025.109731
- The role of internal climate variability on future streamflow projections M. Faghih & F. Brissette 10.1016/j.jhydrol.2023.130101
- A comprehensive comparison of bias correction methods in climate model simulations: Application on ERA5-Land across different temporal resolutions P. Dhawan et al. 10.1016/j.heliyon.2024.e40352
- Multi-decadal monsoon characteristics and glacier response in High Mountain Asia T. Shaw et al. 10.1088/1748-9326/ac9008
- A blueprint for coupling a hydrological model with fine- and coarse-scale atmospheric regional climate change models for probabilistic streamflow projections C. Rajulapati et al. 10.1016/j.jhydrol.2024.132080
- Using reanalysis precipitation data for developing intensity-duration-frequency curves in a poorly gauged city F. Wambura 10.1016/j.ejrh.2024.102005
Latest update: 14 Sep 2025
Short summary
The diurnal cycles of precipitation and temperature generated by climate models are biased. This work investigates whether or not impact modellers should correct the diurnal cycle biases prior to conducting hydrological impact studies at the sub-daily scale. The results show that more accurate streamflows are obtained when the diurnal cycles biases are corrected. This is noticeable for smaller catchments, which have a quicker reaction time to changes in precipitation and temperature.
The diurnal cycles of precipitation and temperature generated by climate models are biased. This...
