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Statistical Analysis of GCM Output

  • Claude Frankignoul

Abstract

In general circulation model (GCM) studies, statistical methods are needed for a number of purposes: to validate a model with observations, to identify its response to anomalous boundary conditions or its sensitivity to changes in model formulation, and to determine its predictive skill. The first two problems are discussed in this Chapter 8 and in the next Chapter 9, while the evaluation of forecasts is discussed in Chapter 10.

Keywords

General Circulation Model Thermocline Depth Barotropic Model General Circulation Model Output Atmospheric GCMs 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Claude Frankignoul

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