Articles | Volume 11, issue 10
https://doi.org/10.5194/bg-11-2601-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-2601-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 May 2014
Research article |
| 16 May 2014
What is the importance of climate model bias when projecting the impacts of climate change on land surface processes?
M. Liu
Civil and Environ Engineering, Washington State University, Pullman, WA, USA
K. Rajagopalan
Civil and Environ Engineering, Washington State University, Pullman, WA, USA
S. H. Chung
Civil and Environ Engineering, Washington State University, Pullman, WA, USA
X. Jiang
Atmospheric Chemistry Division, NCAR Earth System Laboratory, Boulder, CO, USA
J. Harrison
School of the Environment, Washington State University, Vancouver, WA, USA
T. Nergui
Civil and Environ Engineering, Washington State University, Pullman, WA, USA
A. Guenther
Civil and Environ Engineering, Washington State University, Pullman, WA, USA
Atmospheric Sciences and Global Change, Pacific Northwest National Laboratory, Richland WA, USA
C. Miller
School of the Environment, Washington State University, Vancouver, WA, USA
J. Reyes
Civil and Environ Engineering, Washington State University, Pullman, WA, USA
C. Tague
Bren School of Environmental Science & Management, University of California, Santa Barbara, CA, USA
J. Choate
Bren School of Environmental Science & Management, University of California, Santa Barbara, CA, USA
E. P. Salathé
School of Science Technology Engineering and Mathematics, University of Washington, Bothell, WA, USA
C. O. Stöckle
Department of Biological Systems Engineering, Washington State University, Pullman, WA, USA
J. C. Adam
Civil and Environ Engineering, Washington State University, Pullman, WA, USA
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Cited
21 citations as recorded by crossref.
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- Do Downscaled General Circulation Models Reliably Simulate Historical Climatic Conditions? A. Bock et al. 10.1175/EI-D-17-0018.1
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- Accounting for field-scale heterogeneity in the ecohydrological modeling of large arid river basins: Strategies and relevance F. Han et al. 10.1016/j.jhydrol.2021.126045
- Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields D. Lafferty et al. 10.1038/s43247-021-00266-9
- Skill of ECMWF system‐4 ensemble seasonal climate forecasts for East Africa G. Ogutu et al. 10.1002/joc.4876
- Modelling and evaluating the impacts of climate change on three major crops in south-eastern Australia using regional climate model simulations B. Wang et al. 10.1007/s00704-019-02843-7
- Future climatic suitability of the Emilia-Romagna (Italy) region for grape production N. Teslić et al. 10.1007/s10113-018-1431-6
- Multisite bias correction of precipitation data from regional climate models J. Hnilica et al. 10.1002/joc.4890
- Spatio-temporal quantification of climate model errors in a Bayesian framework M. Arisido et al. 10.1007/s00477-018-1635-9
- Climate change impacts on net primary production (NPP) and export production (EP) regulated by increasing stratification and phytoplankton community structure in the CMIP5 models W. Fu et al. 10.5194/bg-13-5151-2016
- Simulation of climate characteristics and extremes of the Volta Basin using CCLM and RCA regional climate models D. Darko et al. 10.1007/s00704-018-2485-6
- Impacts of Climate Change on the Hydrological Regime of the Danube River and Its Tributaries Using an Ensemble of Climate Scenarios J. Stagl & F. Hattermann 10.3390/w7116139
- The effects of climate change and extreme wildfire events on runoff erosion over a mountain watershed G. Gould et al. 10.1016/j.jhydrol.2016.02.025
- Adjusting climate model bias for agricultural impact assessment: How to cut the mustard S. Galmarini et al. 10.1016/j.cliser.2019.01.004
- Comparing correction methods of RCM outputs for improving crop impact projections in the Iberian Peninsula for 21st century M. Ruiz-Ramos et al. 10.1007/s10584-015-1518-8
- Multivariate Bias Correction of Climate Model Output: Matching Marginal Distributions and Intervariable Dependence Structure A. Cannon 10.1175/JCLI-D-15-0679.1
- Does conditional cash transfer change educational aspirations? Evidence from Indonesia R. Hartarto & D. Wardani 10.1108/IJSE-11-2021-0671
- Assessing atmospheric bias correction for dynamical consistency using potential vorticity E. Rocheta et al. 10.1088/1748-9326/9/12/124010
- Design and Implementation of Kepler Workflows for BioEarth T. Mullis et al. 10.1016/j.procs.2014.05.157
- BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management J. Adam et al. 10.1007/s10584-014-1115-2
18 citations as recorded by crossref.
- Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments A. Sharma et al. 10.2166/wcc.2023.230
- Do Downscaled General Circulation Models Reliably Simulate Historical Climatic Conditions? A. Bock et al. 10.1175/EI-D-17-0018.1
- High-end climate change impact on European runoff and low flows – exploring the effects of forcing biases L. Papadimitriou et al. 10.5194/hess-20-1785-2016
- Accounting for field-scale heterogeneity in the ecohydrological modeling of large arid river basins: Strategies and relevance F. Han et al. 10.1016/j.jhydrol.2021.126045
- Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields D. Lafferty et al. 10.1038/s43247-021-00266-9
- Skill of ECMWF system‐4 ensemble seasonal climate forecasts for East Africa G. Ogutu et al. 10.1002/joc.4876
- Modelling and evaluating the impacts of climate change on three major crops in south-eastern Australia using regional climate model simulations B. Wang et al. 10.1007/s00704-019-02843-7
- Future climatic suitability of the Emilia-Romagna (Italy) region for grape production N. Teslić et al. 10.1007/s10113-018-1431-6
- Multisite bias correction of precipitation data from regional climate models J. Hnilica et al. 10.1002/joc.4890
- Spatio-temporal quantification of climate model errors in a Bayesian framework M. Arisido et al. 10.1007/s00477-018-1635-9
- Climate change impacts on net primary production (NPP) and export production (EP) regulated by increasing stratification and phytoplankton community structure in the CMIP5 models W. Fu et al. 10.5194/bg-13-5151-2016
- Simulation of climate characteristics and extremes of the Volta Basin using CCLM and RCA regional climate models D. Darko et al. 10.1007/s00704-018-2485-6
- Impacts of Climate Change on the Hydrological Regime of the Danube River and Its Tributaries Using an Ensemble of Climate Scenarios J. Stagl & F. Hattermann 10.3390/w7116139
- The effects of climate change and extreme wildfire events on runoff erosion over a mountain watershed G. Gould et al. 10.1016/j.jhydrol.2016.02.025
- Adjusting climate model bias for agricultural impact assessment: How to cut the mustard S. Galmarini et al. 10.1016/j.cliser.2019.01.004
- Comparing correction methods of RCM outputs for improving crop impact projections in the Iberian Peninsula for 21st century M. Ruiz-Ramos et al. 10.1007/s10584-015-1518-8
- Multivariate Bias Correction of Climate Model Output: Matching Marginal Distributions and Intervariable Dependence Structure A. Cannon 10.1175/JCLI-D-15-0679.1
- Does conditional cash transfer change educational aspirations? Evidence from Indonesia R. Hartarto & D. Wardani 10.1108/IJSE-11-2021-0671
3 citations as recorded by crossref.
- Assessing atmospheric bias correction for dynamical consistency using potential vorticity E. Rocheta et al. 10.1088/1748-9326/9/12/124010
- Design and Implementation of Kepler Workflows for BioEarth T. Mullis et al. 10.1016/j.procs.2014.05.157
- BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management J. Adam et al. 10.1007/s10584-014-1115-2
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