Second-order space-time climate difference statistics

An approach to the calculation and display of second order space-time difference statistics, suitable for various applications ranging from weather forecasting to climate simulation, is discussed. The representation of the space-time agreement between model and observed quantities (or generally betw...

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Bibliographic Details
Published in:Climate dynamics 2001-01, Vol.17 (2-3), p.213-218
Main Authors: BOER, G. J, LAMBERT, S. J
Format: Article
Language:English
Subjects:
Air temperature
Climate change
Earth, ocean, space
Exact sciences and technology
External geophysics
Geophysics. Techniques, methods, instrumentation and models
Meteorology
Simulation
Surface temperature
Temperature
Weather forecasting
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Summary:An approach to the calculation and display of second order space-time difference statistics, suitable for various applications ranging from weather forecasting to climate simulation, is discussed. The representation of the space-time agreement between model and observed quantities (or generally between any two data sets) depends on treating deterministic and random components of the variance in an appropriate way depending on context. A diagram to display the second order mean square difference, the correlation, and the ratio of variances on a single diagram in an intuitive way is also proposed. An example, comparing observed and simulated surface air temperatures from a group of models in the Coupled Model Intercomparison Program (CMIP), is presented.
ISSN:0930-7575
1432-0894
DOI:10.1007/pl00013735