On the use of generalized linear models for interpreting climate variability

Authors

  • Richard E. Chandler

    Corresponding author
    1. Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, U.K.
    • Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, U.K.
    Search for more papers by this author

Abstract

Many topical questions in climate research can be reduced to either of two related problems: understanding how various different components of the climate system affect each other, and quantifying changes in the system. This article aims to justify the addition of generalized linear models to the climatologist's toolkit, by demonstrating that they offer an intuitive and flexible approach to such problems. In particular, we provide some suggestions as to how ‘typical’ climatological data structures may be represented within the GLM framework. Recurring themes include methods for space–time data and the need to cope with large datasets. The ideas are illustrated using a dataset of monthly U.S. temperatures. Copyright © 2005 John Wiley & Sons, Ltd.

Ancillary