Articles | Volume 16, issue 16
https://doi.org/10.5194/gmd-16-4715-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-4715-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications
Anna L. Merrifield
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Lukas Brunner
Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria
Ruth Lorenz
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Vincent Humphrey
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Reto Knutti
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
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42 citations as recorded by crossref.
- Improving access and use of climate projections for ecological research through the use of a new Python tool A. Paz et al.
- Three decades of simulating global temperature patterns with coupled global climate models L. Brunner et al.
- Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al.
- Uncertainty-informed selection of CMIP6 Earth system model subsets for use in multisectoral and impact models A. Snyder et al.
- Detecting anthropogenically induced changes in extreme and seasonal evapotranspiration observations M. Egli et al.
- The Selection of Global Climate Models for Regional Impact Studies Should Consider Information from Historical Simulations and Future Projections A. Rohith et al.
- Climate model large ensembles as test beds for applied compound event research F. Lehner
- Characterising the range and outliers in CMIP6 multi-model climate projections of extremes P. Pall & A. King
- Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean M. Athanase et al.
- How climate change intensified storm Boris’ extreme rainfall, revealed by near-real-time storylines M. Athanase et al.
- Climate response to Nature Future scenarios in a regional Earth System Model P. Sieber et al.
- Doing better rather than promising more: A basic principle applicable to both climate modelling and climate policies H. Douville & J. Añel
- An Assessment of the Climate Change Impacts on the Distribution of the Glacial Relict Woodpecker Three-Toed Woodpecker Picoides tridactylus T. Popović et al.
- Asymmetric heatwave intensification under divergent climate change mitigation pathways amplifies urban–rural exposure disparities O. Adeyeri et al.
- Pitfalls in diagnosing temperature extremes L. Brunner & A. Voigt
- Delivering probabilistic climate hazards assessments D. Huard et al.
- Mid-latitude baroclinic waves in a zonally homogeneous Earth-like planet A. Sukhanovskii et al.
- From global to regional-scale CMIP6-derived wind wave extremes: a single-GCM HighResMIP and CORDEX downscaling experiment in South-East Australia M. Lorenzo et al.
- Forecasting Tibetan Plateau Lake Level Responses to Climate Change: An Explainable Deep Learning Approach Using Altimetry and Climate Models A. Gholami & W. Zhang
- Emergence of climate change signal in CMIP6 extreme indices N. Schuhen et al.
- Influence of groundwater recharge projections on climate-driven subsurface warming: insights from numerical modeling M. Tsypin et al.
- Projected increase in droughts over the Arabian Peninsula and associated uncertainties M. Saharwardi et al.
- Filtering CMIP6 models in the Euro-Mediterranean based on a circulation patterns approach M. Olmo et al.
- On the relation of CMIP6 GCMs errors at RCM driving boundary condition zones and inner region for Central Europe region E. Holtanová et al.
- Developing climate services for vulnerable islands in the Southwest Indian Ocean: A combined statistical and dynamical CMIP6 downscaling approach for climate change assessment M. Leroux et al.
- User-tailored sub-selection of climate model ensemble members for impact studies A. Sikorska-Senoner et al.
- The Ouranos CRCM5-CMIP6 ensemble: A dynamically downscaled ensemble of CMIP6 simulations over North America D. Paquin et al.
- Why Does the Ensemble Mean of CMIP6 Models Simulate Arctic Temperature More Accurately Than Global Temperature? P. Chylek et al.
- Machine learning-driven prediction of Visual Range under changing climate conditions over complex terrain using AOD and CMIP6 climate simulations S. Javed et al.
- Terrestrial water storage in Australia under stress from compound climate extremes C. Ndehedehe et al.
- Coupled climate–land-use interactions modulate projected heatwave intensification across Africa O. Adeyeri et al.
- A global perspective on past and future change in regional seasonal cycle shape E. Holtanová et al.
- Reducing Snow Amount Uncertainty in CMIP6 PanCanadian Climate Projections D. Matte et al.
- Systematic and objective evaluation of Earth system models: PCMDI Metrics Package (PMP) version 3 J. Lee et al.
- A non-stationary climate-informed weather generator for assessing future flood risks V. Nguyen et al.
- Large potential of performance-based model weighting to improve decadal climate forecast skill V. Verjans et al.
- Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6 N. Effenberger & N. Ludwig
- An evaluation of extreme temperature indices as simulated by CMIP6 models over Central Africa G. Fotso-Kamga et al.
- Storylines reveal contrasting thermodynamic effects of climate change on 2020/21 East Asian cold extremes W. Zhuo et al.
- Lessons for multi-model ensemble design drawn from emulator experiments: application to a large ensemble for 2100 sea level contributions of the Greenland ice sheet J. Rohmer et al.
- Technical note: Including hydrologic impact definition in climate projection uncertainty partitioning: a case study of the Central American mid-summer drought E. Maurer & I. Stewart
- Towards a balancing performance, uncertainty coverage, and spatial consistency in climate model sub-selection I. Lagos-Castro et al.
Saved (final revised paper)
Latest update: 04 May 2026
Short summary
Using all Coupled Model Intercomparison Project (CMIP) models is unfeasible for many applications. We provide a subselection protocol that balances user needs for model independence, performance, and spread capturing CMIP’s projection uncertainty simultaneously. We show how sets of three to five models selected for European applications map to user priorities. An audit of model independence and its influence on equilibrium climate sensitivity uncertainty in CMIP is also presented.
Using all Coupled Model Intercomparison Project (CMIP) models is unfeasible for many...