Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4379-2017
© 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-21-4379-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Sep 2017
Research article |
| 07 Sep 2017
The effect of GCM biases on global runoff simulations of a land surface model
Lamprini V. Papadimitriou
Technical University of Crete, School of Environmental Engineering,
Chania, Greece
Aristeidis G. Koutroulis
Technical University of Crete, School of Environmental Engineering,
Chania, Greece
Manolis G. Grillakis
Technical University of Crete, School of Environmental Engineering,
Chania, Greece
Technical University of Crete, School of Environmental Engineering,
Chania, Greece
McMaster University, Department of Civil Engineering, Hamilton, ON,
Canada
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Cited
21 citations as recorded by crossref.
- Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk 10.1038/s41612-023-00496-y
- Dryland changes under different levels of global warming A. Koutroulis 10.1016/j.scitotenv.2018.11.215
- Global water availability under high-end climate change: A vulnerability based assessment A. Koutroulis et al. 10.1016/j.gloplacha.2019.01.013
- Simulating Hydrological Impacts under Climate Change: Implications from Methodological Differences of a Pan European Assessment A. Koutroulis et al. 10.3390/w10101331
- Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales S. Lange et al. 10.1029/2020EF001616
- Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2) A. Martínez-de la Torre et al. 10.5194/gmd-12-765-2019
- A robust alternative for correcting systematic biases in multi-variable climate model simulations R. Mehrotra & A. Sharma 10.1016/j.envsoft.2021.105019
- Modelling climate change impacts on nutrients and primary production in coastal waters M. Pesce et al. 10.1016/j.scitotenv.2018.02.131
- CMIP6 Earth System Models Project Greater Acceleration of Climate Zone Change Due To Stronger Warming Rates A. Bayar et al. 10.1029/2022EF002972
- Do Downscaled General Circulation Models Reliably Simulate Historical Climatic Conditions? A. Bock et al. 10.1175/EI-D-17-0018.1
- A Quantile Mapping Method to Fill in Discontinued Daily Precipitation Time Series M. Grillakis et al. 10.3390/w12082304
- Increase in severe and extreme soil moisture droughts for Europe under climate change M. Grillakis 10.1016/j.scitotenv.2019.01.001
- The Impact of Reservoirs on Runoff Under Climate Change: A Case of Nierji Reservoir in China B. Men et al. 10.3390/w11051005
- Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model E. Gelati et al. 10.5194/hess-22-2091-2018
- Response of river-lake hydrologic regimes to local climate change in the Yunnan-Guizhou Plateau region, China Z. Duan et al. 10.1007/s10113-020-01712-8
- The effect of univariate bias adjustment on multivariate hazard estimates J. Zscheischler et al. 10.5194/esd-10-31-2019
- Twenty-First Century Streamflow and Climate Change in Forest Catchments of the Central Appalachian Mountains Region, US B. Gaertner et al. 10.3390/w12020453
- A method to preserve trends in quantile mapping bias correction of climate modeled temperature M. Grillakis et al. 10.5194/esd-8-889-2017
- Changes in climate extremes, fresh water availability and vulnerability to food insecurity projected at 1.5°C and 2°C global warming with a higher-resolution global climate model R. Betts et al. 10.1098/rsta.2016.0452
- Improving Seasonal Forecasts for Basin Scale Hydrological Applications M. Grillakis et al. 10.3390/w10111593
- Climate change impact on the hydrological budget of a large Mediterranean island S. Nerantzaki et al. 10.1080/02626667.2019.1630741
19 citations as recorded by crossref.
- Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk 10.1038/s41612-023-00496-y
- Dryland changes under different levels of global warming A. Koutroulis 10.1016/j.scitotenv.2018.11.215
- Global water availability under high-end climate change: A vulnerability based assessment A. Koutroulis et al. 10.1016/j.gloplacha.2019.01.013
- Simulating Hydrological Impacts under Climate Change: Implications from Methodological Differences of a Pan European Assessment A. Koutroulis et al. 10.3390/w10101331
- Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales S. Lange et al. 10.1029/2020EF001616
- Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2) A. Martínez-de la Torre et al. 10.5194/gmd-12-765-2019
- A robust alternative for correcting systematic biases in multi-variable climate model simulations R. Mehrotra & A. Sharma 10.1016/j.envsoft.2021.105019
- Modelling climate change impacts on nutrients and primary production in coastal waters M. Pesce et al. 10.1016/j.scitotenv.2018.02.131
- CMIP6 Earth System Models Project Greater Acceleration of Climate Zone Change Due To Stronger Warming Rates A. Bayar et al. 10.1029/2022EF002972
- Do Downscaled General Circulation Models Reliably Simulate Historical Climatic Conditions? A. Bock et al. 10.1175/EI-D-17-0018.1
- A Quantile Mapping Method to Fill in Discontinued Daily Precipitation Time Series M. Grillakis et al. 10.3390/w12082304
- Increase in severe and extreme soil moisture droughts for Europe under climate change M. Grillakis 10.1016/j.scitotenv.2019.01.001
- The Impact of Reservoirs on Runoff Under Climate Change: A Case of Nierji Reservoir in China B. Men et al. 10.3390/w11051005
- Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model E. Gelati et al. 10.5194/hess-22-2091-2018
- Response of river-lake hydrologic regimes to local climate change in the Yunnan-Guizhou Plateau region, China Z. Duan et al. 10.1007/s10113-020-01712-8
- The effect of univariate bias adjustment on multivariate hazard estimates J. Zscheischler et al. 10.5194/esd-10-31-2019
- Twenty-First Century Streamflow and Climate Change in Forest Catchments of the Central Appalachian Mountains Region, US B. Gaertner et al. 10.3390/w12020453
- A method to preserve trends in quantile mapping bias correction of climate modeled temperature M. Grillakis et al. 10.5194/esd-8-889-2017
- Changes in climate extremes, fresh water availability and vulnerability to food insecurity projected at 1.5°C and 2°C global warming with a higher-resolution global climate model R. Betts et al. 10.1098/rsta.2016.0452
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
Bias correction of climate model outputs has become a standard procedure accompanying climate change impact studies. However, it introduces a new level of uncertainty in the modelling chain which remains relatively unexplored. In this work we present a new framework for the quantification and categorization of the effect of bias correction on global hydrological simulations and we derive information on the sensitivity and magnitude of the effect of GCM biases on runoff, at the global scale.
Bias correction of climate model outputs has become a standard procedure accompanying climate...
