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

NSF National Center for Atmospheric Research · École Polytechnique Fédérale de Lausanne

PubMed
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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…

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1,870
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FWCI
30.86
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100%
References
71
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Authors

2

Topics & keywords

Keywords
  • Probabilistic logic
  • Climate model
  • Variety (cybernetics)
  • Computer science
  • Set (abstract data type)
  • Climate change
  • Statistical model
  • Ensemble forecasting
UN Sustainable Development Goals
  • Climate action
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