Intended for climatologists and specialists in statistical software development and application, this volume addresses the following topics: digital filters; averaging and simple linear models; spectral and correlation functions of random processes and fields; variability of ARMA processes; multivariate AR processes; historical records; the GCM validation; and second moments of rain. The last three chapters are devoted to the analysis and modeling of climatological data. Annotation c. by Book News, Inc., Portland, Or.
Scientific descriptions of the climate have traditionally been based on the study of average meteorological values taken from different positions around the world. In recent years however it has become apparent that these averages should be considered with other statistics that ultimately characterize spatial and temporal variability. This book is designed to meet that need. It is based on a course in computational statistics taught by the author that arose from a variety of projects on the design and development of software for the study of climate change, using statistics and methods of random functions.
