Spatial Objective Analysis With Applications in Atmospheric Sciences


  • J. Guiot

    1. Laboratoire de Botanique Historique et Palynologie, Faculté de St. Jérôme, Centre National de la Recherche Scientifique, Marseille, France
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As the authors themselves remark, little review literature concerning spatial data analysis in atmospheric science has been published in the last 25 years. This book must thus be acknowledged as the only up-to-date review available. It should be of interest to meteorologists and climatologists, who are often faced with map analysis, gridpoint analysis, interpolation, spatial correlations, spatial objective analysis, analysis of vector field, or spatial stochastic models.

After the first introductory chapter, the authors review, in chapter 2, the nonstatistical objective techniques based on function surfaces fitted to data arrays. These procedures involve least squares adjustment of linear or polynomial surfaces, orthogonal polynomials, Fourier harmonics, or spline surfaces. The methods are very sensitive to observation errors and erroneous model specification. Chapter 3 is concerned with empirical linear interpolation, eventually refined with a successive correction process, with an adequate definition of the weights, or with a careful examination of the frequency responses.