Articles | Volume 10, issue 6
https://doi.org/10.5194/gmd-10-2379-2017
© 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/gmd-10-2379-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Skill and independence weighting for multi-model assessments
National Center for Atmospheric Research, Boulder, CO, USA
Michael Wehner
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Reto Knutti
Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland
National Center for Atmospheric Research, Boulder, CO, USA
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- Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. 10.5194/esd-15-1319-2024
- An Integrated Modeling Framework in Projections of Hydrological Extremes H. Meresa et al. 10.1007/s10712-022-09737-w
- On the Choice of the Item Response Model for Scaling PISA Data: Model Selection Based on Information Criteria and Quantifying Model Uncertainty A. Robitzsch 10.3390/e24060760
- Grappling with uncertainties in physical climate impact projections of water resources R. Dankers & Z. Kundzewicz 10.1007/s10584-020-02858-4
- Impacts of climate change on the food-water nexus in central Arizona X. Guan & G. Mascaro 10.1016/j.agrformet.2023.109413
- Global Climate Model Ensemble Approaches for Future Projections of Atmospheric Rivers E. Massoud et al. 10.1029/2019EF001249
- Projected Changes to Hydroclimate Seasonality in the Continental United States K. Marvel et al. 10.1029/2021EF002019
- Projected wave climate temporal variability due to climate change A. Loarca et al. 10.1007/s00477-020-01946-2
- Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al. 10.5194/esd-11-1233-2020
- ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing G. Abramowitz et al. 10.5194/esd-10-91-2019
- Assessing sensitivities of climate model weighting to multiple methods, variables, and domains in the south-central United States A. Wootten et al. 10.5194/esd-14-121-2023
- Effective sample size for precipitation estimation in atmospheric general circulation model ensemble experiments: dependence on temporal and spatial averaging scales K. Hibino & I. Takayabu 10.1007/s10584-020-02886-0
- Application-specific optimal model weighting of global climate models: A red tide example A. Elshall et al. 10.1016/j.cliser.2022.100334
- Projecting Response of Ecological Vulnerability to Future Climate Change and Human Policies in the Yellow River Basin, China X. Zhang et al. 10.3390/rs16183410
- 21st Century alpine climate change S. Kotlarski et al. 10.1007/s00382-022-06303-3
- Fighting big data and ensemble fatigue in climate change impact studies: Can we turn the ensemble cascade upside down? E. Van Uytven et al. 10.1002/joc.6696
- An Approach for Selecting Observationally-Constrained Global Climate Model Ensembles for Regional Climate Impacts and Adaptation Studies in Canada D. Jeong & A. Cannon 10.1080/07055900.2023.2239194
- Future changes of socioeconomic exposure to potential landslide hazards over mainland China D. Li et al. 10.1016/j.wace.2024.100731
- Business risk and the emergence of climate analytics T. Fiedler et al. 10.1038/s41558-020-00984-6
- Toward Consistent Observational Constraints in Climate Predictions and Projections G. Hegerl et al. 10.3389/fclim.2021.678109
- Distribution-based pooling for combination and multi-model bias correction of climate simulations M. Vrac et al. 10.5194/esd-15-735-2024
- Reducing uncertainty in local temperature projections S. Qasmi & A. Ribes 10.1126/sciadv.abo6872
- Hydrological benefits of restoring wildfire regimes in the Sierra Nevada persist in a warming climate E. Rakhmatulina et al. 10.1016/j.jhydrol.2020.125808
- Development of a Hoisting Safety Risk Framework Based on the STAMP Theory and PLS-SEM Method Y. Junjia et al. 10.1109/ACCESS.2024.3453929
- Does the weighting of climate simulations result in a better quantification of hydrological impacts? H. Wang et al. 10.5194/hess-23-4033-2019
- Inferences of Groundwater Response to Projected Hydroclimatic Changes in North Florida F. Gordu & M. Nachabe 10.1061/JHYEFF.HEENG-5827
- Comparing Methods to Constrain Future European Climate Projections Using a Consistent Framework L. Brunner et al. 10.1175/JCLI-D-19-0953.1
- Understanding and assessing uncertainty of observational climate datasets for model evaluation using ensembles M. Zumwald et al. 10.1002/wcc.654
- Evaluating the sensitivity of robust water resource interventions to climate change scenarios R. Geressu et al. 10.1016/j.crm.2022.100442
- A multi-variable constrained ensemble of regional climate projections under multi-scenarios for Portugal – Part I: An overview of impacts on means and extremes D. Lima et al. 10.1016/j.cliser.2023.100351
- The role of crop simulation modeling in assessing potential climate change impacts D. Timlin et al. 10.1002/agg2.20453
- Ranking of CMIP5-based global climate models using standard performance metrics for Telangana region in the southern part of India K. Sreelatha & P. Anand Raj 10.1080/09715010.2019.1634648
- Past and future adverse response of terrestrial water storages to increased vegetation growth in drylands K. Liu et al. 10.1038/s41612-023-00437-9
- Selecting a climate model subset to optimise key ensemble properties N. Herger et al. 10.5194/esd-9-135-2018
- Multi-Model Ensemble Projection of Precipitation Changes over China under Global Warming of 1.5 and 2°C with Consideration of Model Performance and Independence T. Li et al. 10.1007/s13351-021-0067-5
- Developing Representative Impact Scenarios From Climate Projection Ensembles, With Application to UKCP18 and EURO‐CORDEX Precipitation S. Jewson et al. 10.1029/2022MS003038
- Climate data uncertainty for agricultural impact assessments in West Africa P. Romanovska et al. 10.1007/s00704-023-04430-3
- A temperature binning approach for multi-sector climate impact analysis M. Sarofim et al. 10.1007/s10584-021-03048-6
- Emergent Constraints on CMIP6 Climate Warming Projections: Contrasting Cloud- and Surface Temperature–Based Constraints Y. Liang et al. 10.1175/JCLI-D-21-0468.1
- Wetter California Projected by CMIP6 Models With Observational Constraints Under a High GHG Emission Scenario F. Li et al. 10.1029/2022EF002694
- Assessing the stability of terrestrial water storage to drought based on CMIP6 forcing scenarios W. Wei et al. 10.1016/j.jhydrol.2024.132232
- Reducing the Uncertainty in the Tropical Precipitation through a Multi‐Criteria Decision‐Making Approach A. Majhi et al. 10.1002/joc.8665
- Ensemble optimisation, multiple constraints and overconfidence: a case study with future Australian precipitation change N. Herger et al. 10.1007/s00382-019-04690-8
- Prescreening-Based Subset Selection for Improving Predictions of Earth System Models With Application to Regional Prediction of Red Tide A. Elshall et al. 10.3389/feart.2022.786223
- Change in Precipitation over the Tibetan Plateau Projected by Weighted CMIP6 Models Y. Zhao et al. 10.1007/s00376-022-1401-2
- Limited comparability of global and local estimates of environmental flow requirements to sustain river ecosystems M. Messager et al. 10.1088/1748-9326/ad1cb5
- Projected urban flood risk assessment under climate change and urbanization based on an optimized multi-scale geographically weighted regression F. Han et al. 10.1016/j.scs.2024.105642
- Effects of anthropogenic climate change on the compound drought and heat events in different agricultural regions of China J. Yang et al. 10.1016/j.ecolind.2024.112719
- Quantifying uncertainty in European climate projections using combined performance-independence weighting L. Brunner et al. 10.1088/1748-9326/ab492f
- A dependent multimodel approach to climate prediction with Gaussian processes M. Thompson et al. 10.1017/eds.2022.24
- Beyond equilibrium climate sensitivity R. Knutti et al. 10.1038/ngeo3017
- The potential for structural errors in emergent constraints B. Sanderson et al. 10.5194/esd-12-899-2021
- Unrevealing past and future vegetation restoration on the Loess Plateau and its impact on terrestrial water storage K. Liu et al. 10.1016/j.jhydrol.2022.129021
- Sensitivity of future climate change and uncertainty over India to performance-based model weighting R. Singh & K. AchutaRao 10.1007/s10584-019-02643-y
- Future extreme hourly wet bulb temperatures using downscaled climate model projections of temperature and relative humidity M. Alessi & A. DeGaetano 10.1007/s00704-020-03368-0
- Interdependency in Multimodel Climate Projections: Component Replication and Result Similarity J. Boé 10.1002/2017GL076829
- Changes in temperature and precipitation in the instrumental period (1951–2018) and projections up to 2100 in Podgorica (Montenegro) D. Burić & M. Doderović 10.1002/joc.6671
- Constraining Uncertainty in Projected Gross Primary Production With Machine Learning M. Schlund et al. 10.1029/2019JG005619
- A SPATIOTEMPORAL-AWARE WEIGHTING SCHEME FOR IMPROVING CLIMATE MODEL ENSEMBLE PREDICTIONS M. Fan et al. 10.1615/JMachLearnModelComput.2022046715
- Probabilistic projection of extreme precipitation changes over Iran by the CMIP6 multi-model ensemble S. Khansalari & A. Mohammadi 10.1007/s10584-024-03771-w
- CH2018 – National climate scenarios for Switzerland: How to construct consistent multi-model projections from ensembles of opportunity S. Sørland et al. 10.1016/j.cliser.2020.100196
- Calibrating Climate Model Ensembles for Assessing Extremes in a Changing Climate N. Herger et al. 10.1029/2018JD028549
- The future of Iberian droughts: a deeper analysis based on multi-scenario and a multi-model ensemble approach P. Soares et al. 10.1007/s11069-023-05938-7
- Demystifying global climate models for use in the life sciences D. Schoeman et al. 10.1016/j.tree.2023.04.005
- Assessing and reducing the environmental impact of dairy production systems in the northern US in a changing climate K. Veltman et al. 10.1016/j.agsy.2021.103170
- Running to warmer-drier springs in the Greater Mekong Subregion as climate warms Z. Dong et al. 10.1016/j.atmosres.2024.107606
- Sign of Observed California Temperature Trends Depends on Data Set Homogenization: Implications for Weighting and Downscaling A. Charn et al. 10.1029/2022GL099186
- Regional evaluation of global climate models for precipitation, maximum and minimum temperature over southern-part of India K. Sreelatha & P. AnandRaj 10.1080/09715010.2020.1779137
- Exploration of diverse solutions for the calibration of imperfect climate models S. Peatier et al. 10.5194/esd-15-987-2024
- A surrogate weighted mean ensemble method to reduce the uncertainty at a regional scale for the calculation of potential evapotranspiration B. Yoo et al. 10.1038/s41598-020-57466-0
- Ensembles for Viticulture Climate Classifications of the Willamette Valley Wine Region B. Skahill et al. 10.3390/cli9090140
- Quantifying the Value of Learning for Flexible Water Infrastructure Planning J. Skerker et al. 10.1029/2022WR034412
- Informing Future Risks of Record‐Level Rainfall in the United States B. Sanderson et al. 10.1029/2019GL082362
- Reduced Complexity Model Intercomparison Project Phase 2: Synthesizing Earth System Knowledge for Probabilistic Climate Projections Z. Nicholls et al. 10.1029/2020EF001900
- Evaluation of Satellite and Reanalysis Precipitable Water Vapor Data Sets Against Radiosonde Observations in Central Asia J. Jiang et al. 10.1029/2019EA000654
- Carbon Flux Variability From a Relatively Simple Ecosystem Model With Assimilated Data Is Consistent With Terrestrial Biosphere Model Estimates G. Quetin et al. 10.1029/2019MS001889
- Combining global climate models using graph cuts S. Thao et al. 10.1007/s00382-022-06213-4
- Uncovering the shortcomings of a weather typing method E. Van Uytven et al. 10.5194/hess-24-2671-2020
- Benchmarking Simulated Precipitation Variability Amplitude across Time Scales M. Ahn et al. 10.1175/JCLI-D-21-0542.1
- Pareto‐Optimal Estimates of California Precipitation Change B. Langenbrunner & J. Neelin 10.1002/2017GL075226
- Evaluation of CMIP6 GCMs Over the CONUS for Downscaling Studies M. Ashfaq et al. 10.1029/2022JD036659
3 citations as recorded by crossref.
- Weighted multi-model ensemble projection of extreme precipitation in the Mediterranean region using statistical downscaling L. Keupp et al. 10.1007/s00704-019-02851-7
- A Proposal to Evaluate Drought Characteristics Using Multiple Climate Models for Multiple Timescales N. Tien Thanh 10.3390/cli6040079
- Bayesian weighting of climate models based on climate sensitivity E. Massoud et al. 10.1038/s43247-023-01009-8
Latest update: 06 Dec 2024
Short summary
How should climate model simulations be combined to produce an overall assessment that reflects both their performance and their interdependencies? This paper presents a strategy for weighting climate model output such that models that are replicated or models that perform poorly in a chosen set of metrics are appropriately weighted. We perform sensitivity tests to show how the method results depend on variables and parameter values.
How should climate model simulations be combined to produce an overall assessment that reflects...