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OverviewMethodology drawn from the fields of probability. statistics and decision making plays an increasingly important role in the atmosphericsciences. both in basic and applied research and in experimental and operational studies. Applications of such methodology can be found in almost every facet of the discipline. from the most theoretical and global (e.g., atmospheric predictability. global climate modeling) to the most practical and local (e.g., crop-weather modeling forecast evaluation). Almost every issue of the multitude of journals published by the atmospheric sciences community now contain some or more papers involving applications of concepts and/or methodology from the fields of probability and statistics. Despite the increasingly pervasive nature of such applications. very few book length treatments of probabilistic and statistical topics of particular interest to atmospheric scientists have appeared (especially inEnglish) since the publication of the pioneering works of Brooks andCarruthers (Handbook of Statistical Methods in Meteorology) in 1953 and Panofsky and Brier-(some Applications of)statistics to Meteor) in 1958. As a result. many relatively recent developments in probability and statistics are not well known to atmospheric scientists and recent work in active areas of meteorological research involving significant applications of probabilistic and statistical methods are not familiar to the meteorological community as a whole. Full Product DetailsAuthor: Allan Murphy , Richard W. KatzPublisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 1.040kg ISBN: 9780367299798ISBN 10: 0367299798 Pages: 560 Publication Date: 31 October 2024 Audience: Adult education , Adult education , Further / Higher Education , Further / Higher Education Format: Paperback Publisher's Status: Forthcoming Availability: Not yet available ![]() This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsPreface. 1. Exploratory Analysis of Atmospheric Data 2. Developing Empirical Models with Multiple Regression: Biased Estimation Techniques 3. Exploratory Multivariate Analysis of a Single Batch of Data 4. Multivariate Comparisons of Data from Several Batches 5. Time Series Analysis -Time Domain 6. Probabalistic Models 7. Statistical Weather Forecasting 8. Probabalistic Weather Forecasting 10. Forecast Evalution 11. Design and Evaluation of Weather Modification Experiments 12. Bayesian Inference 13. Decision Analysis. Index.ReviewsAuthor InformationAllan H. Murphy and Richard W. Katz Tab Content 6Author Website:Countries AvailableAll regions |