Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2649-2017
© 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-21-2649-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes
Matthew B. Switanek
CORRESPONDING AUTHOR
Wegener Center for Climate and Global Change, University of Graz,
Graz, 8010, Austria
Peter A. Troch
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, Arizona 85721, USA
Christopher L. Castro
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, Arizona 85721, USA
Armin Leuprecht
Wegener Center for Climate and Global Change, University of Graz,
Graz, 8010, Austria
Hsin-I Chang
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, Arizona 85721, USA
Rajarshi Mukherjee
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, Arizona 85721, USA
Eleonora M. C. Demaria
Southwest Watershed Research Center, USDA – Agricultural Research
Service, Tucson, Arizona 85719, USA
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- Climate change impact projections at the catchment scale in Tunisia using the multi-model ensemble mean approach S. Moussa et al. 10.1007/s12517-018-3532-4
- Impact of climate change on landslides frequency: the Esino river basin case study (Central Italy) L. Sangelantoni et al. 10.1007/s11069-018-3328-6
- Future changes to high impact weather in the UK H. Hanlon et al. 10.1007/s10584-021-03100-5
- pyClim-SDM: Service for generation of statistically downscaled climate change projections supporting national adaptation strategies A. Hernanz et al. 10.1016/j.cliser.2023.100408
- Climate change impacts on regional agricultural irrigation water use in semi-arid environments X. Tian et al. 10.1016/j.agwat.2023.108239
- The Construction of Probabilistic Wildfire Risk Estimates for Individual Real Estate Parcels for the Contiguous United States E. Kearns et al. 10.3390/fire5040117
- Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0) S. Lange 10.5194/gmd-12-3055-2019
- Optimizing urban water sustainability: Integrating deep learning, genetic algorithm, and CMIP6 GCM for groundwater potential zone prediction within a social-ecological-technological framework M. Rahman et al. 10.1016/j.asr.2024.03.033
- Sensitivity of Glacier Runoff to Winter Snow Thickness Investigated for Vatnajökull Ice Cap, Iceland, Using Numerical Models and Observations L. Schmidt et al. 10.3390/atmos9110450
- Bias Correction for Climate Model Output (1) Method Characteristics and Classification S. WATANABE 10.3178/jjshwr.33.243
- Downscaling fire weather extremes from historical and projected climate models P. Jain et al. 10.1007/s10584-020-02865-5
- How soil erosion model conceptualization affects soil loss projections under climate change J. Eekhout & J. De Vente 10.1177/0309133319871937
- Bias Correction of Mixed Distributions of Temperature with Strong Diurnal Signal M. Haider et al. 10.1175/WAF-D-21-0108.1
- Climate change reshapes bioclimatic environments in China’s dry–wet transition zones M. Li et al. 10.1016/j.jhydrol.2024.131122
- High-quality reconstruction of China’s natural streamflow C. Miao et al. 10.1016/j.scib.2021.09.022
- Growth Response of Red Oaks to Climatic Conditions in the Lower Mississippi Alluvial Valley: Implications for Bottomland Hardwood Restoration with a Changing Climate J. Choi et al. 10.3390/cli11010010
- Real-time streamflow forecasting in a reservoir-regulated river basin using explainable machine learning and conceptual reservoir module K. Sushanth et al. 10.1016/j.scitotenv.2022.160680
- Probable maximum precipitation (PMP) and flood (PMF) risk charts in Hodna basin, Algeria S. Zeroual et al. 10.1007/s00703-022-00879-5
- A framework for the predictive mapping of forest soil properties in mountain areas A. Simon et al. 10.1016/j.geoderma.2020.114383
- Direct and indirect application of univariate and multivariate bias corrections on heat-stress indices based on multiple regional-climate-model simulations L. Qiu et al. 10.5194/esd-14-507-2023
- Global warming threatens conservation status of alpine EU habitat types in the European Eastern Alps P. Schwager & C. Berg 10.1007/s10113-019-01554-z
- Changes in Snow Depth, Snow Cover Duration, and Potential Snowmaking Conditions in Austria, 1961–2020—A Model Based Approach M. Olefs et al. 10.3390/atmos11121330
- Evaluating skills and issues of quantile-based bias adjustment for climate change scenarios F. Lehner et al. 10.5194/ascmo-9-29-2023
- Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States B. Wilson et al. 10.3389/feart.2024.1320170
- Seasonality and Impact Factor Analysis of Streamflow Sensitivity to Climate Change Across China J. Gou et al. 10.1029/2022EF003062
- Revisiting the bias correction of climate models for impact studies T. Dinh & F. Aires 10.1007/s10584-023-03597-y
- Near-term regional climate change over Bangladesh Y. Choi et al. 10.1007/s00382-021-05856-z
- Atmospheric River Sequences as Indicators of Hydrologic Hazard in Historical Reanalysis and GFDL SPEAR Future Climate Projections C. Bowers et al. 10.1029/2023EF003536
- Land use and climate change-induced soil erosion mapping in a sub-tropical environment S. Pal et al. 10.1080/19475705.2023.2270129
- Projecting Health Impacts of Future Temperature: A Comparison of Quantile-Mapping Bias-Correction Methods W. Qian & H. Chang 10.3390/ijerph18041992
- Investigating statistical bias correction with temporal subsample of the upper Ping River Basin, Thailand S. Wuthiwongtyohtin 10.2166/wcc.2020.021
- 21st Century alpine climate change S. Kotlarski et al. 10.1007/s00382-022-06303-3
- Spatiotemporal dynamics of landslide susceptibility under future climate change and land use scenarios K. Ullah et al. 10.1088/1748-9326/ad8a72
- MIdASv0.2.1 – MultI-scale bias AdjuStment P. Berg et al. 10.5194/gmd-15-6165-2022
- Non-Stationary Precipitation Frequency Estimates for Resilient Infrastructure Design in a Changing Climate: A Case Study in Sydney S. Doulabian et al. 10.3390/hydrology10060117
- Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling J. Van de Velde et al. 10.3390/w13111573
- Analysis of extreme precipitation and its variability under climate change in a river basin S. Ansa Thasneem et al. 10.1007/s11069-019-03664-7
- The New Bias Correction Method for Daily Extremes Precipitation over South Korea using CMIP6 GCMs Y. Song et al. 10.1007/s11269-022-03338-3
- Compilation of a guideline providing comprehensive information on freely available climate change data and facilitating their efficient retrieval B. Chimani et al. 10.1016/j.cliser.2020.100179
- The impact of using different probability representations in application of equidistant quantile matching for bias adjustment of daily precipitation over the Daqing River Basin, North China M. Lv et al. 10.1002/joc.7272
- Spring frost risk for regional apple production under a warmer climate C. Unterberger et al. 10.1371/journal.pone.0200201
- Climate projections for glacier change modelling over the Himalayas M. Jury et al. 10.1002/joc.6298
- Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction B. Ye et al. 10.1016/j.rser.2020.110415
- Klimaszenarien zur Optimierung eines Talsperren-Betriebsplans H. Lohr et al. 10.1007/s35147-023-1843-1
- Multivariate adjustment of drizzle bias using machine learning in European climate projections G. Lazoglou et al. 10.5194/gmd-17-4689-2024
- Multi-model ensembles for regional and national wheat yield forecasts in Argentina M. Zachow et al. 10.1088/1748-9326/ad627c
- Bias Correction and Trend Analysis of Temperature Data by a High-Resolution CMIP6 Model over a Tropical River Basin D. Jose & G. Dwarakish 10.1007/s13143-021-00240-7
- Projected heat wave increasing trends over China based on combined dynamical and multiple statistical downscaling methods M. Zhang et al. 10.1016/j.accre.2023.09.001
- Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate F. Tootoonchi et al. 10.1016/j.scitotenv.2022.158615
- Coupled weather-biosphere model (WRF-VPRM) response to extreme land cover scenarios over Ganga basin: a cross-component analysis V. Huggannavar & J. Indu 10.1088/2515-7620/acea1e
- Regional Climate Model Biases, Their Dependence on Synoptic Circulation Biases and the Potential for Bias Adjustment: A Process‐Oriented Evaluation of the Austrian Regional Climate Projections D. Maraun et al. 10.1029/2020JD032824
- Evaluation of a multi-staged bias correction approach on CHIRP and CHIRPS rainfall product: a case study of the Lake Hawassa watershed T. Beyene et al. 10.2166/wcc.2023.457
- Past and future changes of the Austrian climate – Importance for tourism M. Olefs et al. 10.1016/j.jort.2021.100395
- On the Management of Nature-Based Solutions in Open-Air Laboratories: New Insights and Future Perspectives G. Gallotti et al. 10.3390/resources10040036
- A simple hybrid statistical–dynamical downscaling method for emulating regional climate models over Western Europe. Evaluation, application, and role of added value? J. Boé et al. 10.1007/s00382-022-06552-2
- Increased sediment deposition triggered by climate change impacts freshwater pearl mussel habitats and metapopulations D. Baldan et al. 10.1111/1365-2664.13940
- Intercomparison of joint bias correction methods for precipitation and flow from a hydrological perspective K. Kim et al. 10.1016/j.jhydrol.2021.127261
- Apparent contradiction in the projected climatic water balance for Austria: wetter conditions on average versus higher probability of meteorological droughts K. Haslinger et al. 10.5194/nhess-23-2749-2023
- Performance Evaluation of Bias Correction Methods for Climate Change Monthly Precipitation Projections over Costa Rica M. Mendez et al. 10.3390/w12020482
- Remaining error sources in bias-corrected climate model outputs J. Chen et al. 10.1007/s10584-020-02744-z
- Assessing the impact on crop modelling of multi- and uni-variate climate model bias adjustments S. Galmarini et al. 10.1016/j.agsy.2023.103846
- The implications of bias correction methods and climate model ensembles on soil erosion projections under climate change J. Eekhout & J. de Vente 10.1002/esp.4563
- Risk assessment in water resources planning under climate change at the Júcar River basin S. Suárez-Almiñana et al. 10.5194/hess-24-5297-2020
- Bias adjustment to preserve changes in variability: the unbiased mapping of GCM changes C. Chadwick et al. 10.1080/02626667.2023.2201450
- Functional redundant soil fauna and microbial groups and processes were fairly resistant to drought in an agroecosystem A. Watzinger et al. 10.1007/s00374-023-01728-2
- Comparison of conventional and machine learning methods for bias correcting CMIP6 rainfall and temperature in Nigeria B. Tanimu et al. 10.1007/s00704-024-04888-9
- A framework for projecting future intensity-duration-frequency (IDF) curves based on CORDEX Southeast Asia multi-model simulations: An application for two cities in Southern Vietnam W. Zhao et al. 10.1016/j.jhydrol.2021.126461
- Seasonal climate models for national wheat yield forecasts in Brazil M. Zachow et al. 10.1016/j.agrformet.2023.109753
- Future climate risk to UK agriculture from compound events F. Garry et al. 10.1016/j.crm.2021.100282
- Novel application of a process convolution approach for calibrating output from numerical models M. Holthuijzen et al. 10.1002/env.2822
- Comparison of Multiple Surface Ocean Wind Products with Buoy Data over Blue Amazon (Brazilian Continental Margin) V. Paiva et al. 10.1155/2021/6680626
- Impact Analysis of Univariate and Multivariate Bias Correction on Rice Irrigation Water Needs in Jiangxi Province, China W. Hanggoro et al. 10.3390/w12020381
- Modelling the impact of climate change on soil erosion and sediment yield: a case study in a sub-tropical catchment, India J. Rajbanshi & S. Bhattacharya 10.1007/s40808-021-01117-4
- Assessment of Nonstationarity and Uncertainty in Precipitation Extremes of a River Basin Under Climate Change S. Ansa Thasneem et al. 10.1007/s10666-021-09752-y
- Correcting systematic bias in derived hydrologic simulations – Implications for climate change assessments A. Sharma et al. 10.2166/wcc.2023.230
- Impact of bias correction on climate change signals over central Europe and the Iberian Peninsula A. Ugolotti et al. 10.3389/fenvs.2023.1116429
- Linking local climate scenarios to global warming levels: applicability, prospects and uncertainties B. Becsi & H. Formayer 10.1088/2752-5295/ad574e
- Glacio-hydrological melt and run-off modelling: application of a limits of acceptability framework for model comparison and selection J. Mackay et al. 10.5194/tc-12-2175-2018
- On the Use of Original and Bias-Corrected Climate Simulations in Regional-Scale Hydrological Scenarios in the Mediterranean Basin L. Sangelantoni et al. 10.3390/atmos10120799
- Bias Correction and Evaluation of Precipitation Data from the CORDEX Regional Climate Model for Monitoring Climate Change in the Wadi Chemora Basin (Northeastern Algeria) S. Derdour et al. 10.3390/atmos13111876
- Evaluation of bias correction techniques for generating high-resolution daily temperature projections from CMIP6 models X. Li & Z. Li 10.1007/s00382-023-06778-8
- Projected Changes in Southeast Asian Sea Surface Characteristics Using CMIP6 GCMs O. Salehie et al. 10.1007/s41748-024-00480-3
- Bias correction of surface downwelling longwave and shortwave radiation for the EWEMBI dataset S. Lange 10.5194/esd-9-627-2018
- The uneven impact of climate change on drought with elevation in the Canary Islands J. Carrillo et al. 10.1038/s41612-023-00358-7
- Does Applying Subsampling in Quantile Mapping Affect the Climate Change Signal? P. Reiter & M. Casper 10.3390/hydrology11090143
- Warming may offset impact of precipitation changes on riverine nitrogen loading G. Zhao et al. 10.1073/pnas.2220616120
- A process‐based soil erosion model ensemble to assess model uncertainty in climate‐change impact assessments J. Eekhout et al. 10.1002/ldr.3920
- Analysis of Climate Change Projections for Mozambique under the Representative Concentration Pathways A. Mavume et al. 10.3390/atmos12050588
- Effects of Bias-Corrected Regional Climate Projections and Their Spatial Resolutions on Crop Model Results under Different Climatic and Soil Conditions in Austria S. Thaler et al. 10.3390/agriculture11111029
- Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River basin W. Gumindoga et al. 10.5194/hess-23-2915-2019
- The Time of Emergence (ToE) of the Andean Mediterranean sclerophyllous forest of Quillaja saponaria (Mol.) and Lithraea caustica (mol.) Hox. & Arn D. Martínez et al. 10.1016/j.foreco.2023.121169
- Real-time reservoir operation using inflow and irrigation demand forecasts in a reservoir-regulated river basin K. Sushanth et al. 10.1016/j.scitotenv.2023.166806
- Impact of solar geoengineering on temperatures over the Indonesian Maritime Continent H. Kuswanto et al. 10.1002/joc.7391
- Towards process-informed bias correction of climate change simulations D. Maraun et al. 10.1038/nclimate3418
- High-resolution climate datasets in hydrological impact studies: Assessing their value in alpine and pre-alpine catchments in southeastern Austria S. Peßenteiner et al. 10.1016/j.ejrh.2021.100962
- Changes of hydro-meteorological trigger conditions for debris flows in a future alpine climate R. Kaitna et al. 10.1016/j.scitotenv.2023.162227
- Climate Model Biases and Modification of the Climate Change Signal by Intensity-Dependent Bias Correction M. Ivanov et al. 10.1175/JCLI-D-17-0765.1
- Downscaled climate model erosivity projections and drivers of change across distinct climate regions N. Bulovic et al. 10.1016/j.catena.2024.108250
- A Weighting Scheme in A Multi-Model Ensemble for Bias-Corrected Climate Simulation Y. Shin et al. 10.3390/atmos11080775
- CLIMBra - Climate Change Dataset for Brazil A. Ballarin et al. 10.1038/s41597-023-01956-z
- Quantifying overheating risk in English schools: A spatially coherent climate risk assessment L. Dawkins et al. 10.1016/j.crm.2024.100602
- Responses of Extreme Discharge to Changes in Surface-Air and Dewpoint Temperatures in Utah: Seasonality and Mechanisms T. Wright et al. 10.3390/w15040688
- Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria S. Hanus et al. 10.5194/hess-25-3429-2021
- A simplified procedure to assess the effects of climate change on landslide hazard in a small area of the Southern Apennines in Italy G. Rianna et al. 10.1007/s11069-022-05656-6
- Operational low-flow forecasting using LSTMs J. Deng et al. 10.3389/frwa.2023.1332678
- A new method for runoff prediction error correction based on LS-SVM and a 4D copula joint distribution Y. Liu et al. 10.1016/j.jhydrol.2021.126223
- WITHDRAWN: Intercomparison of joint bias correction methods for precipitation and flow from a hydrological perspective K. Kim et al. 10.1016/j.hydroa.2021.100109
- Assessing the hillslope-channel contributions to the catchment sediment balance under climate change J. Eekhout et al. 10.1016/j.envsoft.2023.105890
- The effect of univariate bias adjustment on multivariate hazard estimates J. Zscheischler et al. 10.5194/esd-10-31-2019
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- Variance decomposition of forecasted sediment transport in a lowland watershed using global climate model ensembles N. Al Aamery et al. 10.1016/j.jhydrol.2021.126760
- Stochastic downscaling of gridded precipitation to spatially coherent subgrid precipitation fields using a transformed Gaussian model M. Switanek et al. 10.1002/joc.7581
Latest update: 20 Nov 2024
Short summary
The commonly used bias correction method called quantile mapping assumes a constant function of error correction values between modeled and observed distributions. Our article finds that this function cannot be assumed to be constant. We propose a new bias correction method, called scaled distribution mapping, that does not rely on this assumption. Furthermore, the proposed method more explicitly accounts for the frequency of rain days and the likelihood of individual events.
The commonly used bias correction method called quantile mapping assumes a constant function of...