Cited by 1,862Climate variability and modelsMeteorological Phenomena and SimulationsClimate Change and Geoengineering

The use of the multi-model ensemble in probabilistic climate projections

Tebaldi, Claudia, Knutti, Reto·2007·Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Abstract

Recent coordinated efforts, in which numerous climate models have been run for a common set of experiments, have produced large datasets of projections of future climate for various scenarios. Those multi-model ensembles sample initial condition, parameter as well as structural uncertainties in the model design, and they have prompted a variety of approaches to quantify uncertainty in future climate in a probabilistic way. This paper outlines the motivation for using multi-model ensembles, reviews the methodologies published so far and compares their results for regional temperature projections. The challenges in interpreting multi-model results, caused by the lack of verification of climate projections, the problem of model dependence, bias and tuning as well as the difficulty in making sense of an ‘ensemble of opportunity’, are discussed in detail.

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Crossref · 10.1098/rsta.2007.2076

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69 of 69 references verified0 citation errors · 0 not checkable

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  • The best climate predictions are synthesized from ensembles of 20+ climate models.

    “The best climate predictions are synthesized from ensembles of 20+ climate models [782].”

    From Tackling climate change with machine learning (2023) · cites this paper as [782]

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Authors
Tebaldi, C., & Knutti, R.
Affiliations
  • NSF National Center for Atmospheric Research (US)
  • ETH Zurich (CH)
Venue
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Published
2007-06-14
Volume
365
Issue
1857
Pages
2053-2075
ISSN
  • 1364-503X (ISSN-L)
  • 1471-2962
OpenAlex
W2100956194
Cited by
1,862
References
69
Citations by year
2026: 124 · 2025: 115 · 2024: 112 · 2023: 110 · 2022: 132 · 2021: 117 · 2020: 122 · 2019: 121 · 2018: 107 · 2017: 111 · 2016: 116 · 2015: 112 · 2014: 102 · 2013: 82 · 2012: 65
FWCI
35.13
Type
journal article
Language
en
Open access
closed
Locations
  • Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Geoengineering
Keywords
multi-model ensemble, probabilistic climate projections, uncertainty quantification, model dependence, model bias, model calibration, climate model intercomparison

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