Climate Dynamics

, Volume 17, Issue 2, pp 213–218

Second-order space-time climate difference statistics

Authors

  • G. J. Boer
    • Canadian Centre for Climate Modelling and Analysis, Meteorological Service of Canada, University of Victoria, Mailing address: PO Box 1700, Victoria, B.C. V8W 2Y2, Canada E-mail: George.Boer@ec.gc.ca
  • S. J. Lambert
    • Canadian Centre for Climate Modelling and Analysis, Meteorological Service of Canada, University of Victoria, Mailing address: PO Box 1700, Victoria, B.C. V8W 2Y2, Canada E-mail: George.Boer@ec.gc.ca

DOI: 10.1007/PL00013735

Cite this article as:
Boer, G. & Lambert, S. Climate Dynamics (2001) 17: 213. doi:10.1007/PL00013735

Abstract

 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.

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© Springer-Verlag Berlin Heidelberg 2001