Predicting weather and climate: Uncertainty, ensembles and probability

Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 41 (3):263-272 (2010)
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Abstract

Simulation-based weather and climate prediction now involves the use of methods that reflect a deep concern with uncertainty. These methods, known as ensemble prediction methods, produce multiple simulations for predictive periods of interest, using different initial conditions, parameter values and/or model structures. This paper provides a non-technical overview of current ensemble methods and considers how the results of studies employing these methods should be interpreted, paying special attention to probabilistic interpretations. A key conclusion is that, while complicated inductive arguments might be given for the trustworthiness of probabilistic weather forecasts obtained from ensemble studies, analogous arguments are out of reach in the case of long-term climate prediction. In light of this, the paper considers how predictive uncertainty should be conveyed to decision makers.

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Wendy Parker
Virginia Tech

References found in this work

A material theory of induction.John D. Norton - 2003 - Philosophy of Science 70 (4):647-670.
Deterministic Nonperiodic Flow.Edward Lorenz - 1963 - Journal of Atmospheric Sciences 20 (2):130-148.

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