Articles | Volume 7, issue 1
https://doi.org/10.5194/esd-7-71-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-7-71-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A novel bias correction methodology for climate impact simulations
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10,
07745 Jena, Germany
Institute for Atmospheric and Climate Science,
ETH Zürich, Rämistr. 101, 8075 Zürich, Switzerland
F. E. L. Otto
Environmental Change Institute, University of Oxford, South Parks
Road, Oxford OX1 3QY, UK
M. Forkel
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10,
07745 Jena, Germany
M. R. Allen
Environmental Change Institute, University of Oxford, South Parks
Road, Oxford OX1 3QY, UK
B. P. Guillod
Environmental Change Institute, University of Oxford, South Parks
Road, Oxford OX1 3QY, UK
M. Heimann
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10,
07745 Jena, Germany
M. Reichstein
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10,
07745 Jena, Germany
S. I. Seneviratne
Institute for Atmospheric and Climate Science,
ETH Zürich, Rämistr. 101, 8075 Zürich, Switzerland
K. Thonicke
Potsdam Institute for Climate Impact
Research, Telegrafenberg, 14473 Potsdam, Germany
M. D. Mahecha
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10,
07745 Jena, Germany
German Centre for
Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Deutscher Platz 5E, 04103 Leipzig, Germany
Viewed
Total article views: 6,183 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Oct 2015)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
3,918 | 2,006 | 259 | 6,183 | 638 | 186 | 250 |
- HTML: 3,918
- PDF: 2,006
- XML: 259
- Total: 6,183
- Supplement: 638
- BibTeX: 186
- EndNote: 250
Total article views: 5,265 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Feb 2016)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
3,440 | 1,592 | 233 | 5,265 | 382 | 173 | 234 |
- HTML: 3,440
- PDF: 1,592
- XML: 233
- Total: 5,265
- Supplement: 382
- BibTeX: 173
- EndNote: 234
Total article views: 918 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Oct 2015)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
478 | 414 | 26 | 918 | 256 | 13 | 16 |
- HTML: 478
- PDF: 414
- XML: 26
- Total: 918
- Supplement: 256
- BibTeX: 13
- EndNote: 16
Cited
66 citations as recorded by crossref.
- Assessment of Climate Change Impacts on Reservoir Storage Reliability, Resilience, and Vulnerability Using a Multivariate Frequency Bias Correction Approach H. Nguyen et al. 10.1029/2019WR026022
- ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1) F. Spuler et al. 10.5194/gmd-17-1249-2024
- Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation S. Li et al. 10.5194/gmd-12-3017-2019
- The Impact of Meteorological and Hydrological Memory on Compound Peak Flows in the Rhine River Basin S. Khanal et al. 10.3390/atmos10040171
- From Hazard to Risk J. Sillmann et al. 10.1175/BAMS-D-17-0327.1
- Validation of a Rapid Attribution of the May/June 2016 Flood-Inducing Precipitation in France to Climate Change S. Philip et al. 10.1175/JHM-D-18-0074.1
- Climate Change Projections of Extreme Temperatures for the Iberian Peninsula C. Viceto et al. 10.3390/atmos10050229
- Quantifying uncertainty and sensitivity in climate risk assessments: Varying hazard, exposure and vulnerability modelling choices L. Dawkins et al. 10.1016/j.crm.2023.100511
- 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
- Forecast-based attribution of a winter heatwave within the limit of predictability N. Leach et al. 10.1073/pnas.2112087118
- The weather@home regional climate modelling project for Australia and New Zealand M. Black et al. 10.5194/gmd-9-3161-2016
- Impacts of drought, food security policy and climate change on performance of irrigation schemes in Sub-saharan Africa: The case of Sudan S. Ahmed 10.1016/j.agwat.2020.106064
- Extreme heat in New Zealand: a synthesis L. Harrington & D. Frame 10.1007/s10584-022-03427-7
- Refining multi-model projections of temperature extremes by evaluation against land–atmosphere coupling diagnostics S. Sippel et al. 10.5194/esd-8-387-2017
- Validation and Projections of Climate Characteristics in the Saginaw Bay Watershed, MI, for Hydrologic Modeling Applications D. Kluver & W. Robertson 10.3389/frwa.2021.779811
- Drought, Heat, and the Carbon Cycle: a Review S. Sippel et al. 10.1007/s40641-018-0103-4
- Climate change impacts on wind power generation for the Italian peninsula R. Bonanno et al. 10.1007/s10113-022-02007-w
- Brief communication: Drought likelihood for East Africa H. Yang & C. Huntingford 10.5194/nhess-18-491-2018
- The distinct problems of physical inconsistency and of multivariate bias involved in the statistical adjustment of climate simulations M. Alavoine & P. Grenier 10.1002/joc.7878
- Attribution of Weather and Climate Events F. Otto 10.1146/annurev-environ-102016-060847
- A method to preserve trends in quantile mapping bias correction of climate modeled temperature M. Grillakis et al. 10.5194/esd-8-889-2017
- High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin Z. Asong et al. 10.5194/essd-12-629-2020
- A robust alternative for correcting systematic biases in multi-variable climate model simulations R. Mehrotra & A. Sharma 10.1016/j.envsoft.2021.105019
- Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM G. Krinner et al. 10.1029/2018MS001438
- 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
- Spatiotemporal analysis of transition probabilities of wet and dry days under SSPs scenarios in the semi-arid Susurluk Basin, Türkiye M. Şan et al. 10.1016/j.scitotenv.2023.168641
- Revealing trends in extreme heatwave intensity: applying the UNSEEN approach to Nordic countries S. Berghald et al. 10.1088/1748-9326/ad2893
- Heat Waves: Physical Understanding and Scientific Challenges D. Barriopedro et al. 10.1029/2022RG000780
- Ensemble reconstruction of spatio-temporal extreme low-flow events in France since 1871 L. Caillouet et al. 10.5194/hess-21-2923-2017
- Multivariate Bias‐Correction of High‐Resolution Regional Climate Change Simulations for West Africa: Performance and Climate Change Implications D. Dieng et al. 10.1029/2021JD034836
- A Consistent Methodology to Evaluate Temperature and Heat Wave Future Projections for Cities: A Case Study for Lisbon A. Rocha et al. 10.3390/app10031149
- Storm Surge and Extreme River Discharge: A Compound Event Analysis Using Ensemble Impact Modeling S. Khanal et al. 10.3389/feart.2019.00224
- Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
- On projected hydrological scenarios under the influence of bias-corrected climatic variables and LULC S. Sahoo et al. 10.1016/j.ecolind.2019.105440
- Correcting systematic biases across multiple atmospheric variables in the frequency domain H. Nguyen et al. 10.1007/s00382-018-4191-6
- Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe R. Vautard et al. 10.1007/s00382-018-4183-6
- Climate-driven constraints in sustaining future wheat yield and water productivity M. Ahmad et al. 10.1016/j.agwat.2019.105991
- Impact of climate change on water resources of upper Kharun catchment in Chhattisgarh, India N. Kumar et al. 10.1016/j.ejrh.2017.07.008
- The effect of univariate bias adjustment on multivariate hazard estimates J. Zscheischler et al. 10.5194/esd-10-31-2019
- SCOPE Climate: a 142-year daily high-resolution ensemble meteorological reconstruction dataset over France L. Caillouet et al. 10.5194/essd-11-241-2019
- Investigating statistical bias correction with temporal subsample of the upper Ping River Basin, Thailand S. Wuthiwongtyohtin 10.2166/wcc.2020.021
- Influence mechanism of climate change over crop growth and water demands for wheat-rice system of Punjab, Pakistan M. Ahmad et al. 10.2166/wcc.2020.009
- Calibrating Climate Model Ensembles for Assessing Extremes in a Changing Climate N. Herger et al. 10.1029/2018JD028549
- Projection of future precipitation extremes across the Bangkok Metropolitan Region R. Cooper 10.1016/j.heliyon.2019.e01678
- Attribution of extreme weather and climate events overestimated by unreliable climate simulations O. Bellprat & F. Doblas‐Reyes 10.1002/2015GL067189
- Daily precipitation performances of regression-based statistical downscaling models in a basin with mountain and semi-arid climates M. Şan et al. 10.1007/s00477-022-02345-5
- Attribution of 2022 early-spring heatwave in India and Pakistan to climate change: lessons in assessing vulnerability and preparedness in reducing impacts M. Zachariah et al. 10.1088/2752-5295/acf4b6
- A Novel Bias Correction Method for Extreme Events L. Trentini et al. 10.3390/cli11010003
- Understanding, modeling and predicting weather and climate extremes: Challenges and opportunities J. Sillmann et al. 10.1016/j.wace.2017.10.003
- Attribution of Extreme Events to Climate Change F. Otto 10.1146/annurev-environ-112621-083538
- Evaluation of a large ensemble regional climate modelling system for extreme weather events analysis over Bangladesh R. Rimi et al. 10.1002/joc.5931
- Management Scenarios of the Grand Ethiopian Renaissance Dam and Their Impacts under Recent and Future Climates S. Liersch et al. 10.3390/w9100728
- Future climate risk from compound events J. Zscheischler et al. 10.1038/s41558-018-0156-3
- Future Wheat Yield Variabilities and Water Footprints Based on the Yield Sensitivity to Past Climate Conditions M. Ahmad et al. 10.3390/agronomy9110744
- Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems S. Sippel et al. 10.1088/1748-9326/aa7398
- A vast increase in heat exposure in the 21st century is driven by global warming and urban population growth T. Klein & W. Anderegg 10.1016/j.scs.2021.103098
- Changing population dynamics and uneven temperature emergence combine to exacerbate regional exposure to heat extremes under 1.5 °C and 2 °C of warming L. Harrington & F. Otto 10.1088/1748-9326/aaaa99
- Adapting attribution science to the climate extremes of tomorrow L. Harrington & F. Otto 10.1088/1748-9326/aaf4cc
- Assessment of Climate Change Impact on Water Requirement and Rice Productivity K. N’guessan et al. 10.1016/j.rsci.2023.03.010
- Towards reliable extreme weather and climate event attribution O. Bellprat et al. 10.1038/s41467-019-09729-2
- Characterizing and avoiding physical inconsistency generated by the application of univariate quantile mapping on daily minimum and maximum temperatures over Hudson Bay M. Agbazo & P. Grenier 10.1002/joc.6432
- Bayesian hierarchical model for bias-correcting climate models J. Carter et al. 10.5194/gmd-17-5733-2024
- Comparing regional precipitation and temperature extremes in climate model and reanalysis products O. Angélil et al. 10.1016/j.wace.2016.07.001
- weather@home 2: validation of an improved global–regional climate modelling system B. Guillod et al. 10.5194/gmd-10-1849-2017
- Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b) K. Frieler et al. 10.5194/gmd-10-4321-2017
- Characterizing half‐a‐degree difference: a review of methods for identifying regional climate responses to global warming targets R. James et al. 10.1002/wcc.457
65 citations as recorded by crossref.
- Assessment of Climate Change Impacts on Reservoir Storage Reliability, Resilience, and Vulnerability Using a Multivariate Frequency Bias Correction Approach H. Nguyen et al. 10.1029/2019WR026022
- ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1) F. Spuler et al. 10.5194/gmd-17-1249-2024
- Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation S. Li et al. 10.5194/gmd-12-3017-2019
- The Impact of Meteorological and Hydrological Memory on Compound Peak Flows in the Rhine River Basin S. Khanal et al. 10.3390/atmos10040171
- From Hazard to Risk J. Sillmann et al. 10.1175/BAMS-D-17-0327.1
- Validation of a Rapid Attribution of the May/June 2016 Flood-Inducing Precipitation in France to Climate Change S. Philip et al. 10.1175/JHM-D-18-0074.1
- Climate Change Projections of Extreme Temperatures for the Iberian Peninsula C. Viceto et al. 10.3390/atmos10050229
- Quantifying uncertainty and sensitivity in climate risk assessments: Varying hazard, exposure and vulnerability modelling choices L. Dawkins et al. 10.1016/j.crm.2023.100511
- 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
- Forecast-based attribution of a winter heatwave within the limit of predictability N. Leach et al. 10.1073/pnas.2112087118
- The weather@home regional climate modelling project for Australia and New Zealand M. Black et al. 10.5194/gmd-9-3161-2016
- Impacts of drought, food security policy and climate change on performance of irrigation schemes in Sub-saharan Africa: The case of Sudan S. Ahmed 10.1016/j.agwat.2020.106064
- Extreme heat in New Zealand: a synthesis L. Harrington & D. Frame 10.1007/s10584-022-03427-7
- Refining multi-model projections of temperature extremes by evaluation against land–atmosphere coupling diagnostics S. Sippel et al. 10.5194/esd-8-387-2017
- Validation and Projections of Climate Characteristics in the Saginaw Bay Watershed, MI, for Hydrologic Modeling Applications D. Kluver & W. Robertson 10.3389/frwa.2021.779811
- Drought, Heat, and the Carbon Cycle: a Review S. Sippel et al. 10.1007/s40641-018-0103-4
- Climate change impacts on wind power generation for the Italian peninsula R. Bonanno et al. 10.1007/s10113-022-02007-w
- Brief communication: Drought likelihood for East Africa H. Yang & C. Huntingford 10.5194/nhess-18-491-2018
- The distinct problems of physical inconsistency and of multivariate bias involved in the statistical adjustment of climate simulations M. Alavoine & P. Grenier 10.1002/joc.7878
- Attribution of Weather and Climate Events F. Otto 10.1146/annurev-environ-102016-060847
- A method to preserve trends in quantile mapping bias correction of climate modeled temperature M. Grillakis et al. 10.5194/esd-8-889-2017
- High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin Z. Asong et al. 10.5194/essd-12-629-2020
- A robust alternative for correcting systematic biases in multi-variable climate model simulations R. Mehrotra & A. Sharma 10.1016/j.envsoft.2021.105019
- Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM G. Krinner et al. 10.1029/2018MS001438
- 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
- Spatiotemporal analysis of transition probabilities of wet and dry days under SSPs scenarios in the semi-arid Susurluk Basin, Türkiye M. Şan et al. 10.1016/j.scitotenv.2023.168641
- Revealing trends in extreme heatwave intensity: applying the UNSEEN approach to Nordic countries S. Berghald et al. 10.1088/1748-9326/ad2893
- Heat Waves: Physical Understanding and Scientific Challenges D. Barriopedro et al. 10.1029/2022RG000780
- Ensemble reconstruction of spatio-temporal extreme low-flow events in France since 1871 L. Caillouet et al. 10.5194/hess-21-2923-2017
- Multivariate Bias‐Correction of High‐Resolution Regional Climate Change Simulations for West Africa: Performance and Climate Change Implications D. Dieng et al. 10.1029/2021JD034836
- A Consistent Methodology to Evaluate Temperature and Heat Wave Future Projections for Cities: A Case Study for Lisbon A. Rocha et al. 10.3390/app10031149
- Storm Surge and Extreme River Discharge: A Compound Event Analysis Using Ensemble Impact Modeling S. Khanal et al. 10.3389/feart.2019.00224
- Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
- On projected hydrological scenarios under the influence of bias-corrected climatic variables and LULC S. Sahoo et al. 10.1016/j.ecolind.2019.105440
- Correcting systematic biases across multiple atmospheric variables in the frequency domain H. Nguyen et al. 10.1007/s00382-018-4191-6
- Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe R. Vautard et al. 10.1007/s00382-018-4183-6
- Climate-driven constraints in sustaining future wheat yield and water productivity M. Ahmad et al. 10.1016/j.agwat.2019.105991
- Impact of climate change on water resources of upper Kharun catchment in Chhattisgarh, India N. Kumar et al. 10.1016/j.ejrh.2017.07.008
- The effect of univariate bias adjustment on multivariate hazard estimates J. Zscheischler et al. 10.5194/esd-10-31-2019
- SCOPE Climate: a 142-year daily high-resolution ensemble meteorological reconstruction dataset over France L. Caillouet et al. 10.5194/essd-11-241-2019
- Investigating statistical bias correction with temporal subsample of the upper Ping River Basin, Thailand S. Wuthiwongtyohtin 10.2166/wcc.2020.021
- Influence mechanism of climate change over crop growth and water demands for wheat-rice system of Punjab, Pakistan M. Ahmad et al. 10.2166/wcc.2020.009
- Calibrating Climate Model Ensembles for Assessing Extremes in a Changing Climate N. Herger et al. 10.1029/2018JD028549
- Projection of future precipitation extremes across the Bangkok Metropolitan Region R. Cooper 10.1016/j.heliyon.2019.e01678
- Attribution of extreme weather and climate events overestimated by unreliable climate simulations O. Bellprat & F. Doblas‐Reyes 10.1002/2015GL067189
- Daily precipitation performances of regression-based statistical downscaling models in a basin with mountain and semi-arid climates M. Şan et al. 10.1007/s00477-022-02345-5
- Attribution of 2022 early-spring heatwave in India and Pakistan to climate change: lessons in assessing vulnerability and preparedness in reducing impacts M. Zachariah et al. 10.1088/2752-5295/acf4b6
- A Novel Bias Correction Method for Extreme Events L. Trentini et al. 10.3390/cli11010003
- Understanding, modeling and predicting weather and climate extremes: Challenges and opportunities J. Sillmann et al. 10.1016/j.wace.2017.10.003
- Attribution of Extreme Events to Climate Change F. Otto 10.1146/annurev-environ-112621-083538
- Evaluation of a large ensemble regional climate modelling system for extreme weather events analysis over Bangladesh R. Rimi et al. 10.1002/joc.5931
- Management Scenarios of the Grand Ethiopian Renaissance Dam and Their Impacts under Recent and Future Climates S. Liersch et al. 10.3390/w9100728
- Future climate risk from compound events J. Zscheischler et al. 10.1038/s41558-018-0156-3
- Future Wheat Yield Variabilities and Water Footprints Based on the Yield Sensitivity to Past Climate Conditions M. Ahmad et al. 10.3390/agronomy9110744
- Contrasting and interacting changes in simulated spring and summer carbon cycle extremes in European ecosystems S. Sippel et al. 10.1088/1748-9326/aa7398
- A vast increase in heat exposure in the 21st century is driven by global warming and urban population growth T. Klein & W. Anderegg 10.1016/j.scs.2021.103098
- Changing population dynamics and uneven temperature emergence combine to exacerbate regional exposure to heat extremes under 1.5 °C and 2 °C of warming L. Harrington & F. Otto 10.1088/1748-9326/aaaa99
- Adapting attribution science to the climate extremes of tomorrow L. Harrington & F. Otto 10.1088/1748-9326/aaf4cc
- Assessment of Climate Change Impact on Water Requirement and Rice Productivity K. N’guessan et al. 10.1016/j.rsci.2023.03.010
- Towards reliable extreme weather and climate event attribution O. Bellprat et al. 10.1038/s41467-019-09729-2
- Characterizing and avoiding physical inconsistency generated by the application of univariate quantile mapping on daily minimum and maximum temperatures over Hudson Bay M. Agbazo & P. Grenier 10.1002/joc.6432
- Bayesian hierarchical model for bias-correcting climate models J. Carter et al. 10.5194/gmd-17-5733-2024
- Comparing regional precipitation and temperature extremes in climate model and reanalysis products O. Angélil et al. 10.1016/j.wace.2016.07.001
- weather@home 2: validation of an improved global–regional climate modelling system B. Guillod et al. 10.5194/gmd-10-1849-2017
- Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b) K. Frieler et al. 10.5194/gmd-10-4321-2017
Saved (preprint)
Latest update: 21 Nov 2024
Short summary
We introduce a novel technique to bias correct climate model output for impact simulations that preserves its physical consistency and multivariate structure. The methodology considerably improves the representation of extremes in climatic variables relative to conventional bias correction strategies. Illustrative simulations of biosphere–atmosphere carbon and water fluxes with a biosphere model (LPJmL) show that the novel technique can be usefully applied to drive climate impact models.
We introduce a novel technique to bias correct climate model output for impact simulations that...
Altmetrics
Final-revised paper
Preprint