Procedures for determining the statistical significance of changes in variability simulated by an atmospheric general circulation model
A statistical procedure is described for making inferences about differences in variability that would be appropriate when dealing with time series generated by an atmospheric general circulation model (GCM). The fundamental question of how to define climatic variability is first addressed. A definition of ''intrinsic'' climatic variability based on ''pre-whitening'' the data is advocated. A test for changes in variability that is not sensitive to departures from the assumption of a Gaussian distribution for the data is outlined. The use of this test is demonstrated by means of an application involving daily mean surface air temperature time series generated by the Oregon State University atmospheric GCM.
- Research Organization:
- Oregon State Univ., Corvallis (USA)
- OSTI ID:
- 5420108
- Resource Relation:
- Related Information: Climate Research Institute report No. 48
- Country of Publication:
- United States
- Language:
- English
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