The use of the multi-model ensemble in probabilistic climate projections
NSF National Center for Atmospheric Research · École Polytechnique Fédérale de Lausanne
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…
Citation impact
- FWCI
- 30.86
- Percentile
- 100%
- References
- 71
Authors
2Topics & keywords
- Probabilistic logic
- Climate model
- Variety (cybernetics)
- Computer science
- Set (abstract data type)
- Climate change
- Statistical model
- Ensemble forecasting
- Climate action